diff options
| author | android-build-prod (mdb) <android-build-team-robot@google.com> | 2019-12-24 21:10:27 +0000 |
|---|---|---|
| committer | Gerrit Code Review <noreply-gerritcodereview@google.com> | 2019-12-24 21:10:27 +0000 |
| commit | 175fc412442ca5d85a9c317ecb5fedb374715194 (patch) | |
| tree | 7f32b5bc7c2b3b2cf0f4a308f2ca69694d6c8d7b | |
| parent | 3bc732064409aa85c10b0350e9f0132245aab522 (diff) | |
| parent | 14ab6d926293f0d4704a64e4dee691c406de25c4 (diff) | |
| download | ml-175fc412442ca5d85a9c317ecb5fedb374715194.tar.gz | |
Merge "Snap for 6095409 from 99974d079e267783cf43d601058969f0884ed294 to android10-tests-release" into android10-tests-releaseandroid-vts-10.0_r4android-vts-10.0_r3android-cts-10.0_r4android-cts-10.0_r3
4 files changed, 1252 insertions, 1250 deletions
diff --git a/nn/runtime/test/generated/examples/avg_pool_v1_2.example.cpp b/nn/runtime/test/generated/examples/avg_pool_v1_2.example.cpp index f50a7fccf..afcafdc2e 100644 --- a/nn/runtime/test/generated/examples/avg_pool_v1_2.example.cpp +++ b/nn/runtime/test/generated/examples/avg_pool_v1_2.example.cpp @@ -943,9 +943,9 @@ static std::vector<MixedTypedExample> examples_nhwc_2 = { //Output(s) { // See tools/test_generator/include/TestHarness.h:MixedTyped // int -> Dimensions map - .operandDimensions = {{0, {5, 11, 13, 3}}}, + .operandDimensions = {{0, {5, 16, 18, 3}}}, // int -> FLOAT32 map - .float32Operands = {{0, {1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 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.int32Operands = {}, // int -> QUANT8_ASYMM map @@ -1057,7 +1057,7 @@ static std::vector<MixedTypedExample> examples_nhwc_float16_2 = { //Output(s) { // See tools/test_generator/include/TestHarness.h:MixedTyped // int -> Dimensions map - .operandDimensions = {{0, {5, 11, 13, 3}}}, + .operandDimensions = {{0, {5, 16, 18, 3}}}, // int -> FLOAT32 map .float32Operands = {}, // int -> INT32 map @@ -1067,7 +1067,7 @@ static std::vector<MixedTypedExample> examples_nhwc_float16_2 = { // int -> QUANT16_SYMM map .quant16SymmOperands = {}, // int -> FLOAT16 map - .float16Operands = {{0, {1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 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= {}, // int -> QUANT8_ASYMM map - .quant8AsymmOperands = {{0, {2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 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std::vector<MixedTypedExample> examples_nchw_relaxed_2 = { //Output(s) { // See tools/test_generator/include/TestHarness.h:MixedTyped // int -> Dimensions map - .operandDimensions = {{0, {5, 3, 11, 13}}}, + .operandDimensions = {{0, {5, 3, 16, 18}}}, // int -> FLOAT32 map - .float32Operands = {{0, {1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 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std::vector<MixedTypedExample> examples_nchw_quant8_2 = { //Output(s) { // See tools/test_generator/include/TestHarness.h:MixedTyped // int -> Dimensions map - .operandDimensions = {{0, {5, 3, 11, 13}}}, + .operandDimensions = {{0, {5, 3, 16, 18}}}, // int -> FLOAT32 map .float32Operands = {}, // int -> INT32 map .int32Operands = {}, // int -> QUANT8_ASYMM map - .quant8AsymmOperands = {{0, {2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 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examples_dynamic_output_shape_nhwc_2 = { //Output(s) { // See tools/test_generator/include/TestHarness.h:MixedTyped // int -> Dimensions map - .operandDimensions = {{0, {5, 11, 13, 3}}}, + .operandDimensions = {{0, {5, 16, 18, 3}}}, // int -> FLOAT32 map - .float32Operands = {{0, {1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 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16, 18, 3}}}, // int -> FLOAT32 map .float32Operands = {}, // int -> INT32 map @@ -1523,7 +1523,7 @@ static std::vector<MixedTypedExample> examples_dynamic_output_shape_nhwc_float16 // int -> QUANT16_SYMM map .quant16SymmOperands = {}, // int -> FLOAT16 map - .float16Operands = {{0, {1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 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1.0f, 1.0f}}}, // int -> INT32 map .int32Operands = {}, // int -> QUANT8_ASYMM map @@ -1741,7 +1741,7 @@ static std::vector<MixedTypedExample> examples_dynamic_output_shape_nchw_float16 //Output(s) { // See tools/test_generator/include/TestHarness.h:MixedTyped // int -> Dimensions map - .operandDimensions = {{0, {5, 3, 11, 13}}}, + .operandDimensions = {{0, {5, 3, 16, 18}}}, // int -> FLOAT32 map .float32Operands = {}, // int -> INT32 map @@ -1751,7 +1751,7 @@ static std::vector<MixedTypedExample> examples_dynamic_output_shape_nchw_float16 // int -> QUANT16_SYMM map .quant16SymmOperands = {}, // int -> FLOAT16 map - .float16Operands = {{0, {1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 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18}}}, // int -> FLOAT32 map .float32Operands = {}, // int -> INT32 map .int32Operands = {}, // int -> QUANT8_ASYMM map - .quant8AsymmOperands = {{0, {2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2}}}, // int -> QUANT16_SYMM map .quant16SymmOperands = {}, // int -> FLOAT16 map diff --git a/nn/runtime/test/generated/models/avg_pool_v1_2.model.cpp b/nn/runtime/test/generated/models/avg_pool_v1_2.model.cpp index 80fcdbb2f..a5f2f96d2 100644 --- a/nn/runtime/test/generated/models/avg_pool_v1_2.model.cpp +++ b/nn/runtime/test/generated/models/avg_pool_v1_2.model.cpp @@ -106,10 +106,10 @@ inline bool is_ignored_nhwc_relaxed(int i) { void CreateModel_nhwc_float16(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type19(Type::TENSOR_FLOAT16, {1, 2, 2, 1}); OperandType type2(Type::INT32, {}); + OperandType type20(Type::TENSOR_FLOAT16, {1, 2, 2, 1}); // Phase 1, operands - auto op1 = model->addOperand(&type19); + auto op1 = model->addOperand(&type20); auto param = model->addOperand(&type2); auto param1 = model->addOperand(&type2); auto param2 = model->addOperand(&type2); @@ -120,7 +120,7 @@ void CreateModel_nhwc_float16(Model *model) { auto param7 = model->addOperand(&type2); auto param8 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op4 = model->addOperand(&type19); + auto op4 = model->addOperand(&type20); // Phase 2, operations static int32_t param_init[] = {0}; model->setOperandValue(param, param_init, sizeof(int32_t) * 1); @@ -158,9 +158,9 @@ inline bool is_ignored_nhwc_float16(int i) { void CreateModel_nhwc_quant8(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type20(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 0.5f, 0); + OperandType type21(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 0.5f, 0); // Phase 1, operands - auto op1 = model->addOperand(&type20); + auto op1 = model->addOperand(&type21); auto param = model->addOperand(&type2); auto param1 = model->addOperand(&type2); auto param2 = model->addOperand(&type2); @@ -171,7 +171,7 @@ void CreateModel_nhwc_quant8(Model *model) { auto param7 = model->addOperand(&type2); auto param8 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op4 = model->addOperand(&type20); + auto op4 = model->addOperand(&type21); // Phase 2, operations static int32_t param_init[] = {0}; model->setOperandValue(param, param_init, sizeof(int32_t) * 1); @@ -209,9 +209,9 @@ inline bool is_ignored_nhwc_quant8(int i) { void CreateModel_nchw(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type21(Type::TENSOR_FLOAT32, {1, 1, 2, 2}); + OperandType type22(Type::TENSOR_FLOAT32, {1, 1, 2, 2}); // Phase 1, operands - auto op1 = model->addOperand(&type21); + auto op1 = model->addOperand(&type22); auto param = model->addOperand(&type2); auto param1 = model->addOperand(&type2); auto param2 = model->addOperand(&type2); @@ -222,7 +222,7 @@ void CreateModel_nchw(Model *model) { auto param7 = model->addOperand(&type2); auto param8 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op4 = model->addOperand(&type21); + auto op4 = model->addOperand(&type22); // Phase 2, operations static int32_t param_init[] = {0}; model->setOperandValue(param, param_init, sizeof(int32_t) * 1); @@ -260,9 +260,9 @@ inline bool is_ignored_nchw(int i) { void CreateModel_nchw_relaxed(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type21(Type::TENSOR_FLOAT32, {1, 1, 2, 2}); + OperandType type22(Type::TENSOR_FLOAT32, {1, 1, 2, 2}); // Phase 1, operands - auto op1 = model->addOperand(&type21); + auto op1 = model->addOperand(&type22); auto param = model->addOperand(&type2); auto param1 = model->addOperand(&type2); auto param2 = model->addOperand(&type2); @@ -273,7 +273,7 @@ void CreateModel_nchw_relaxed(Model *model) { auto param7 = model->addOperand(&type2); auto param8 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op4 = model->addOperand(&type21); + auto op4 = model->addOperand(&type22); // Phase 2, operations static int32_t param_init[] = {0}; model->setOperandValue(param, param_init, sizeof(int32_t) * 1); @@ -313,9 +313,9 @@ inline bool is_ignored_nchw_relaxed(int i) { void CreateModel_nchw_float16(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type22(Type::TENSOR_FLOAT16, {1, 1, 2, 2}); + OperandType type23(Type::TENSOR_FLOAT16, {1, 1, 2, 2}); // Phase 1, operands - auto op1 = model->addOperand(&type22); + auto op1 = model->addOperand(&type23); auto param = model->addOperand(&type2); auto param1 = model->addOperand(&type2); auto param2 = model->addOperand(&type2); @@ -326,7 +326,7 @@ void CreateModel_nchw_float16(Model *model) { auto param7 = model->addOperand(&type2); auto param8 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op4 = model->addOperand(&type22); + auto op4 = model->addOperand(&type23); // Phase 2, operations static int32_t param_init[] = {0}; model->setOperandValue(param, param_init, sizeof(int32_t) * 1); @@ -364,9 +364,9 @@ inline bool is_ignored_nchw_float16(int i) { void CreateModel_nchw_quant8(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type23(Type::TENSOR_QUANT8_ASYMM, {1, 1, 2, 2}, 0.5f, 0); + OperandType type24(Type::TENSOR_QUANT8_ASYMM, {1, 1, 2, 2}, 0.5f, 0); // Phase 1, operands - auto op1 = model->addOperand(&type23); + auto op1 = model->addOperand(&type24); auto param = model->addOperand(&type2); auto param1 = model->addOperand(&type2); auto param2 = model->addOperand(&type2); @@ -377,7 +377,7 @@ void CreateModel_nchw_quant8(Model *model) { auto param7 = model->addOperand(&type2); auto param8 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op4 = model->addOperand(&type23); + auto op4 = model->addOperand(&type24); // Phase 2, operations static int32_t param_init[] = {0}; model->setOperandValue(param, param_init, sizeof(int32_t) * 1); @@ -416,7 +416,7 @@ void CreateModel_dynamic_output_shape_nhwc(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); // Phase 1, operands auto op1 = model->addOperand(&type1); auto param = model->addOperand(&type2); @@ -429,7 +429,7 @@ void CreateModel_dynamic_output_shape_nhwc(Model *model) { auto param7 = model->addOperand(&type2); auto param8 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op4 = model->addOperand(&type24); + auto op4 = model->addOperand(&type25); // Phase 2, operations static int32_t param_init[] = {0}; model->setOperandValue(param, param_init, sizeof(int32_t) * 1); @@ -468,7 +468,7 @@ void CreateModel_dynamic_output_shape_nhwc_relaxed(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); // Phase 1, operands auto op1 = model->addOperand(&type1); auto param = model->addOperand(&type2); @@ -481,7 +481,7 @@ void CreateModel_dynamic_output_shape_nhwc_relaxed(Model *model) { auto param7 = model->addOperand(&type2); auto param8 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op4 = model->addOperand(&type24); + auto op4 = model->addOperand(&type25); // Phase 2, operations static int32_t param_init[] = {0}; model->setOperandValue(param, param_init, sizeof(int32_t) * 1); @@ -520,11 +520,11 @@ inline bool is_ignored_dynamic_output_shape_nhwc_relaxed(int i) { void CreateModel_dynamic_output_shape_nhwc_float16(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type19(Type::TENSOR_FLOAT16, {1, 2, 2, 1}); OperandType type2(Type::INT32, {}); - OperandType type25(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); + OperandType type20(Type::TENSOR_FLOAT16, {1, 2, 2, 1}); + OperandType type26(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); // Phase 1, operands - auto op1 = model->addOperand(&type19); + auto op1 = model->addOperand(&type20); auto param = model->addOperand(&type2); auto param1 = model->addOperand(&type2); auto param2 = model->addOperand(&type2); @@ -535,7 +535,7 @@ void CreateModel_dynamic_output_shape_nhwc_float16(Model *model) { auto param7 = model->addOperand(&type2); auto param8 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op4 = model->addOperand(&type25); + auto op4 = model->addOperand(&type26); // Phase 2, operations static int32_t param_init[] = {0}; model->setOperandValue(param, param_init, sizeof(int32_t) * 1); @@ -573,10 +573,10 @@ inline bool is_ignored_dynamic_output_shape_nhwc_float16(int i) { void CreateModel_dynamic_output_shape_nhwc_quant8(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type20(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 0.5f, 0); - OperandType type26(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.5f, 0); + OperandType type21(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 0.5f, 0); + OperandType type27(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.5f, 0); // Phase 1, operands - auto op1 = model->addOperand(&type20); + auto op1 = model->addOperand(&type21); auto param = model->addOperand(&type2); auto param1 = model->addOperand(&type2); auto param2 = model->addOperand(&type2); @@ -587,7 +587,7 @@ void CreateModel_dynamic_output_shape_nhwc_quant8(Model *model) { auto param7 = model->addOperand(&type2); auto param8 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op4 = model->addOperand(&type26); + auto op4 = model->addOperand(&type27); // Phase 2, operations static int32_t param_init[] = {0}; model->setOperandValue(param, param_init, sizeof(int32_t) * 1); @@ -625,10 +625,10 @@ inline bool is_ignored_dynamic_output_shape_nhwc_quant8(int i) { void CreateModel_dynamic_output_shape_nchw(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type21(Type::TENSOR_FLOAT32, {1, 1, 2, 2}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type22(Type::TENSOR_FLOAT32, {1, 1, 2, 2}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); // Phase 1, operands - auto op1 = model->addOperand(&type21); + auto op1 = model->addOperand(&type22); auto param = model->addOperand(&type2); auto param1 = model->addOperand(&type2); auto param2 = model->addOperand(&type2); @@ -639,7 +639,7 @@ void CreateModel_dynamic_output_shape_nchw(Model *model) { auto param7 = model->addOperand(&type2); auto param8 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op4 = model->addOperand(&type24); + auto op4 = model->addOperand(&type25); // Phase 2, operations static int32_t param_init[] = {0}; model->setOperandValue(param, param_init, sizeof(int32_t) * 1); @@ -677,10 +677,10 @@ inline bool is_ignored_dynamic_output_shape_nchw(int i) { void CreateModel_dynamic_output_shape_nchw_relaxed(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type21(Type::TENSOR_FLOAT32, {1, 1, 2, 2}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type22(Type::TENSOR_FLOAT32, {1, 1, 2, 2}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); // Phase 1, operands - auto op1 = model->addOperand(&type21); + auto op1 = model->addOperand(&type22); auto param = model->addOperand(&type2); auto param1 = model->addOperand(&type2); auto param2 = model->addOperand(&type2); @@ -691,7 +691,7 @@ void CreateModel_dynamic_output_shape_nchw_relaxed(Model *model) { auto param7 = model->addOperand(&type2); auto param8 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op4 = model->addOperand(&type24); + auto op4 = model->addOperand(&type25); // Phase 2, operations static int32_t param_init[] = {0}; model->setOperandValue(param, param_init, sizeof(int32_t) * 1); @@ -731,10 +731,10 @@ inline bool is_ignored_dynamic_output_shape_nchw_relaxed(int i) { void CreateModel_dynamic_output_shape_nchw_float16(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type22(Type::TENSOR_FLOAT16, {1, 1, 2, 2}); - OperandType type25(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); + OperandType type23(Type::TENSOR_FLOAT16, {1, 1, 2, 2}); + OperandType type26(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); // Phase 1, operands - auto op1 = model->addOperand(&type22); + auto op1 = model->addOperand(&type23); auto param = model->addOperand(&type2); auto param1 = model->addOperand(&type2); auto param2 = model->addOperand(&type2); @@ -745,7 +745,7 @@ void CreateModel_dynamic_output_shape_nchw_float16(Model *model) { auto param7 = model->addOperand(&type2); auto param8 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op4 = model->addOperand(&type25); + auto op4 = model->addOperand(&type26); // Phase 2, operations static int32_t param_init[] = {0}; model->setOperandValue(param, param_init, sizeof(int32_t) * 1); @@ -783,10 +783,10 @@ inline bool is_ignored_dynamic_output_shape_nchw_float16(int i) { void CreateModel_dynamic_output_shape_nchw_quant8(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type23(Type::TENSOR_QUANT8_ASYMM, {1, 1, 2, 2}, 0.5f, 0); - OperandType type26(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.5f, 0); + OperandType type24(Type::TENSOR_QUANT8_ASYMM, {1, 1, 2, 2}, 0.5f, 0); + OperandType type27(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.5f, 0); // Phase 1, operands - auto op1 = model->addOperand(&type23); + auto op1 = model->addOperand(&type24); auto param = model->addOperand(&type2); auto param1 = model->addOperand(&type2); auto param2 = model->addOperand(&type2); @@ -797,7 +797,7 @@ void CreateModel_dynamic_output_shape_nchw_quant8(Model *model) { auto param7 = model->addOperand(&type2); auto param8 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op4 = model->addOperand(&type26); + auto op4 = model->addOperand(&type27); // Phase 2, operations static int32_t param_init[] = {0}; model->setOperandValue(param, param_init, sizeof(int32_t) * 1); @@ -836,7 +836,7 @@ void CreateModel_nhwc_2(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); OperandType type3(Type::TENSOR_FLOAT32, {5, 52, 60, 3}); - OperandType type4(Type::TENSOR_FLOAT32, {5, 11, 13, 3}); + OperandType type4(Type::TENSOR_FLOAT32, {5, 16, 18, 3}); // Phase 1, operands auto op11 = model->addOperand(&type3); auto param9 = model->addOperand(&type2); @@ -851,21 +851,21 @@ void CreateModel_nhwc_2(Model *model) { auto layout = model->addOperand(&type0); auto op41 = model->addOperand(&type4); // Phase 2, operations - static int32_t param9_init[] = {50}; + static int32_t param9_init[] = {30}; model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1); - static int32_t param10_init[] = {50}; + static int32_t param10_init[] = {30}; model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1); - static int32_t param11_init[] = {50}; + static int32_t param11_init[] = {30}; model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1); - static int32_t param12_init[] = {50}; + static int32_t param12_init[] = {30}; model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1); static int32_t param13_init[] = {5}; model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1); static int32_t param14_init[] = {5}; model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1); - static int32_t param15_init[] = {100}; + static int32_t param15_init[] = {35}; model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1); - static int32_t param16_init[] = {100}; + static int32_t param16_init[] = {35}; model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1); static int32_t param17_init[] = {0}; model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1); @@ -888,7 +888,7 @@ void CreateModel_nhwc_relaxed_2(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); OperandType type3(Type::TENSOR_FLOAT32, {5, 52, 60, 3}); - OperandType type4(Type::TENSOR_FLOAT32, {5, 11, 13, 3}); + OperandType type4(Type::TENSOR_FLOAT32, {5, 16, 18, 3}); // Phase 1, operands auto op11 = model->addOperand(&type3); auto param9 = model->addOperand(&type2); @@ -903,21 +903,21 @@ void CreateModel_nhwc_relaxed_2(Model *model) { auto layout = model->addOperand(&type0); auto op41 = model->addOperand(&type4); // Phase 2, operations - static int32_t param9_init[] = {50}; + static int32_t param9_init[] = {30}; model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1); - static int32_t param10_init[] = {50}; + static int32_t param10_init[] = {30}; model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1); - static int32_t param11_init[] = {50}; + static int32_t param11_init[] = {30}; model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1); - static int32_t param12_init[] = {50}; + static int32_t param12_init[] = {30}; model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1); static int32_t param13_init[] = {5}; model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1); static int32_t param14_init[] = {5}; model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1); - static int32_t param15_init[] = {100}; + static int32_t param15_init[] = {35}; model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1); - static int32_t param16_init[] = {100}; + static int32_t param16_init[] = {35}; model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1); static int32_t param17_init[] = {0}; model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1); @@ -941,10 +941,10 @@ inline bool is_ignored_nhwc_relaxed_2(int i) { void CreateModel_nhwc_float16_2(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type27(Type::TENSOR_FLOAT16, {5, 52, 60, 3}); - OperandType type28(Type::TENSOR_FLOAT16, {5, 11, 13, 3}); + OperandType type28(Type::TENSOR_FLOAT16, {5, 52, 60, 3}); + OperandType type29(Type::TENSOR_FLOAT16, {5, 16, 18, 3}); // Phase 1, operands - auto op11 = model->addOperand(&type27); + auto op11 = model->addOperand(&type28); auto param9 = model->addOperand(&type2); auto param10 = model->addOperand(&type2); auto param11 = model->addOperand(&type2); @@ -955,23 +955,23 @@ void CreateModel_nhwc_float16_2(Model *model) { auto param16 = model->addOperand(&type2); auto param17 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op41 = model->addOperand(&type28); + auto op41 = model->addOperand(&type29); // Phase 2, operations - static int32_t param9_init[] = {50}; + static int32_t param9_init[] = {30}; model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1); - static int32_t param10_init[] = {50}; + static int32_t param10_init[] = {30}; model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1); - static int32_t param11_init[] = {50}; + static int32_t param11_init[] = {30}; model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1); - static int32_t param12_init[] = {50}; + static int32_t param12_init[] = {30}; model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1); static int32_t param13_init[] = {5}; model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1); static int32_t param14_init[] = {5}; model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1); - static int32_t param15_init[] = {100}; + static int32_t param15_init[] = {35}; model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1); - static int32_t param16_init[] = {100}; + static int32_t param16_init[] = {35}; model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1); static int32_t param17_init[] = {0}; model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1); @@ -993,10 +993,10 @@ inline bool is_ignored_nhwc_float16_2(int i) { void CreateModel_nhwc_quant8_2(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type29(Type::TENSOR_QUANT8_ASYMM, {5, 52, 60, 3}, 0.5f, 0); - OperandType type30(Type::TENSOR_QUANT8_ASYMM, {5, 11, 13, 3}, 0.5f, 0); + OperandType type30(Type::TENSOR_QUANT8_ASYMM, {5, 52, 60, 3}, 0.5f, 0); + OperandType type31(Type::TENSOR_QUANT8_ASYMM, {5, 16, 18, 3}, 0.5f, 0); // Phase 1, operands - auto op11 = model->addOperand(&type29); + auto op11 = model->addOperand(&type30); auto param9 = model->addOperand(&type2); auto param10 = model->addOperand(&type2); auto param11 = model->addOperand(&type2); @@ -1007,23 +1007,23 @@ void CreateModel_nhwc_quant8_2(Model *model) { auto param16 = model->addOperand(&type2); auto param17 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op41 = model->addOperand(&type30); + auto op41 = model->addOperand(&type31); // Phase 2, operations - static int32_t param9_init[] = {50}; + static int32_t param9_init[] = {30}; model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1); - static int32_t param10_init[] = {50}; + static int32_t param10_init[] = {30}; model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1); - static int32_t param11_init[] = {50}; + static int32_t param11_init[] = {30}; model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1); - static int32_t param12_init[] = {50}; + static int32_t param12_init[] = {30}; model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1); static int32_t param13_init[] = {5}; model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1); static int32_t param14_init[] = {5}; model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1); - static int32_t param15_init[] = {100}; + static int32_t param15_init[] = {35}; model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1); - static int32_t param16_init[] = {100}; + static int32_t param16_init[] = {35}; model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1); static int32_t param17_init[] = {0}; model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1); @@ -1045,10 +1045,10 @@ inline bool is_ignored_nhwc_quant8_2(int i) { void CreateModel_nchw_2(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type31(Type::TENSOR_FLOAT32, {5, 3, 52, 60}); - OperandType type32(Type::TENSOR_FLOAT32, {5, 3, 11, 13}); + OperandType type32(Type::TENSOR_FLOAT32, {5, 3, 52, 60}); + OperandType type33(Type::TENSOR_FLOAT32, {5, 3, 16, 18}); // Phase 1, operands - auto op11 = model->addOperand(&type31); + auto op11 = model->addOperand(&type32); auto param9 = model->addOperand(&type2); auto param10 = model->addOperand(&type2); auto param11 = model->addOperand(&type2); @@ -1059,23 +1059,23 @@ void CreateModel_nchw_2(Model *model) { auto param16 = model->addOperand(&type2); auto param17 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op41 = model->addOperand(&type32); + auto op41 = model->addOperand(&type33); // Phase 2, operations - static int32_t param9_init[] = {50}; + static int32_t param9_init[] = {30}; model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1); - static int32_t param10_init[] = {50}; + static int32_t param10_init[] = {30}; model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1); - static int32_t param11_init[] = {50}; + static int32_t param11_init[] = {30}; model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1); - static int32_t param12_init[] = {50}; + static int32_t param12_init[] = {30}; model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1); static int32_t param13_init[] = {5}; model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1); static int32_t param14_init[] = {5}; model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1); - static int32_t param15_init[] = {100}; + static int32_t param15_init[] = {35}; model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1); - static int32_t param16_init[] = {100}; + static int32_t param16_init[] = {35}; model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1); static int32_t param17_init[] = {0}; model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1); @@ -1097,10 +1097,10 @@ inline bool is_ignored_nchw_2(int i) { void CreateModel_nchw_relaxed_2(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type31(Type::TENSOR_FLOAT32, {5, 3, 52, 60}); - OperandType type32(Type::TENSOR_FLOAT32, {5, 3, 11, 13}); + OperandType type32(Type::TENSOR_FLOAT32, {5, 3, 52, 60}); + OperandType type33(Type::TENSOR_FLOAT32, {5, 3, 16, 18}); // Phase 1, operands - auto op11 = model->addOperand(&type31); + auto op11 = model->addOperand(&type32); auto param9 = model->addOperand(&type2); auto param10 = model->addOperand(&type2); auto param11 = model->addOperand(&type2); @@ -1111,23 +1111,23 @@ void CreateModel_nchw_relaxed_2(Model *model) { auto param16 = model->addOperand(&type2); auto param17 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op41 = model->addOperand(&type32); + auto op41 = model->addOperand(&type33); // Phase 2, operations - static int32_t param9_init[] = {50}; + static int32_t param9_init[] = {30}; model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1); - static int32_t param10_init[] = {50}; + static int32_t param10_init[] = {30}; model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1); - static int32_t param11_init[] = {50}; + static int32_t param11_init[] = {30}; model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1); - static int32_t param12_init[] = {50}; + static int32_t param12_init[] = {30}; model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1); static int32_t param13_init[] = {5}; model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1); static int32_t param14_init[] = {5}; model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1); - static int32_t param15_init[] = {100}; + static int32_t param15_init[] = {35}; model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1); - static int32_t param16_init[] = {100}; + static int32_t param16_init[] = {35}; model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1); static int32_t param17_init[] = {0}; model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1); @@ -1151,10 +1151,10 @@ inline bool is_ignored_nchw_relaxed_2(int i) { void CreateModel_nchw_float16_2(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type33(Type::TENSOR_FLOAT16, {5, 3, 52, 60}); - OperandType type34(Type::TENSOR_FLOAT16, {5, 3, 11, 13}); + OperandType type34(Type::TENSOR_FLOAT16, {5, 3, 52, 60}); + OperandType type35(Type::TENSOR_FLOAT16, {5, 3, 16, 18}); // Phase 1, operands - auto op11 = model->addOperand(&type33); + auto op11 = model->addOperand(&type34); auto param9 = model->addOperand(&type2); auto param10 = model->addOperand(&type2); auto param11 = model->addOperand(&type2); @@ -1165,23 +1165,23 @@ void CreateModel_nchw_float16_2(Model *model) { auto param16 = model->addOperand(&type2); auto param17 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op41 = model->addOperand(&type34); + auto op41 = model->addOperand(&type35); // Phase 2, operations - static int32_t param9_init[] = {50}; + static int32_t param9_init[] = {30}; model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1); - static int32_t param10_init[] = {50}; + static int32_t param10_init[] = {30}; model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1); - static int32_t param11_init[] = {50}; + static int32_t param11_init[] = {30}; model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1); - static int32_t param12_init[] = {50}; + static int32_t param12_init[] = {30}; model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1); static int32_t param13_init[] = {5}; model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1); static int32_t param14_init[] = {5}; model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1); - static int32_t param15_init[] = {100}; + static int32_t param15_init[] = {35}; model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1); - static int32_t param16_init[] = {100}; + static int32_t param16_init[] = {35}; model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1); static int32_t param17_init[] = {0}; model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1); @@ -1203,10 +1203,10 @@ inline bool is_ignored_nchw_float16_2(int i) { void CreateModel_nchw_quant8_2(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type35(Type::TENSOR_QUANT8_ASYMM, {5, 3, 52, 60}, 0.5f, 0); - OperandType type36(Type::TENSOR_QUANT8_ASYMM, {5, 3, 11, 13}, 0.5f, 0); + OperandType type36(Type::TENSOR_QUANT8_ASYMM, {5, 3, 52, 60}, 0.5f, 0); + OperandType type37(Type::TENSOR_QUANT8_ASYMM, {5, 3, 16, 18}, 0.5f, 0); // Phase 1, operands - auto op11 = model->addOperand(&type35); + auto op11 = model->addOperand(&type36); auto param9 = model->addOperand(&type2); auto param10 = model->addOperand(&type2); auto param11 = model->addOperand(&type2); @@ -1217,23 +1217,23 @@ void CreateModel_nchw_quant8_2(Model *model) { auto param16 = model->addOperand(&type2); auto param17 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op41 = model->addOperand(&type36); + auto op41 = model->addOperand(&type37); // Phase 2, operations - static int32_t param9_init[] = {50}; + static int32_t param9_init[] = {30}; model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1); - static int32_t param10_init[] = {50}; + static int32_t param10_init[] = {30}; model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1); - static int32_t param11_init[] = {50}; + static int32_t param11_init[] = {30}; model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1); - static int32_t param12_init[] = {50}; + static int32_t param12_init[] = {30}; model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1); static int32_t param13_init[] = {5}; model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1); static int32_t param14_init[] = {5}; model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1); - static int32_t param15_init[] = {100}; + static int32_t param15_init[] = {35}; model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1); - static int32_t param16_init[] = {100}; + static int32_t param16_init[] = {35}; model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1); static int32_t param17_init[] = {0}; model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1); @@ -1255,7 +1255,7 @@ inline bool is_ignored_nchw_quant8_2(int i) { void CreateModel_dynamic_output_shape_nhwc_2(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); OperandType type3(Type::TENSOR_FLOAT32, {5, 52, 60, 3}); // Phase 1, operands auto op11 = model->addOperand(&type3); @@ -1269,23 +1269,23 @@ void CreateModel_dynamic_output_shape_nhwc_2(Model *model) { auto param16 = model->addOperand(&type2); auto param17 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op41 = model->addOperand(&type24); + auto op41 = model->addOperand(&type25); // Phase 2, operations - static int32_t param9_init[] = {50}; + static int32_t param9_init[] = {30}; model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1); - static int32_t param10_init[] = {50}; + static int32_t param10_init[] = {30}; model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1); - static int32_t param11_init[] = {50}; + static int32_t param11_init[] = {30}; model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1); - static int32_t param12_init[] = {50}; + static int32_t param12_init[] = {30}; model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1); static int32_t param13_init[] = {5}; model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1); static int32_t param14_init[] = {5}; model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1); - static int32_t param15_init[] = {100}; + static int32_t param15_init[] = {35}; model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1); - static int32_t param16_init[] = {100}; + static int32_t param16_init[] = {35}; model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1); static int32_t param17_init[] = {0}; model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1); @@ -1307,7 +1307,7 @@ inline bool is_ignored_dynamic_output_shape_nhwc_2(int i) { void CreateModel_dynamic_output_shape_nhwc_relaxed_2(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); OperandType type3(Type::TENSOR_FLOAT32, {5, 52, 60, 3}); // Phase 1, operands auto op11 = model->addOperand(&type3); @@ -1321,23 +1321,23 @@ void CreateModel_dynamic_output_shape_nhwc_relaxed_2(Model *model) { auto param16 = model->addOperand(&type2); auto param17 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op41 = model->addOperand(&type24); + auto op41 = model->addOperand(&type25); // Phase 2, operations - static int32_t param9_init[] = {50}; + static int32_t param9_init[] = {30}; model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1); - static int32_t param10_init[] = {50}; + static int32_t param10_init[] = {30}; model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1); - static int32_t param11_init[] = {50}; + static int32_t param11_init[] = {30}; model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1); - static int32_t param12_init[] = {50}; + static int32_t param12_init[] = {30}; model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1); static int32_t param13_init[] = {5}; model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1); static int32_t param14_init[] = {5}; model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1); - static int32_t param15_init[] = {100}; + static int32_t param15_init[] = {35}; model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1); - static int32_t param16_init[] = {100}; + static int32_t param16_init[] = {35}; model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1); static int32_t param17_init[] = {0}; model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1); @@ -1361,10 +1361,10 @@ inline bool is_ignored_dynamic_output_shape_nhwc_relaxed_2(int i) { void CreateModel_dynamic_output_shape_nhwc_float16_2(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type25(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); - OperandType type27(Type::TENSOR_FLOAT16, {5, 52, 60, 3}); + OperandType type26(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); + OperandType type28(Type::TENSOR_FLOAT16, {5, 52, 60, 3}); // Phase 1, operands - auto op11 = model->addOperand(&type27); + auto op11 = model->addOperand(&type28); auto param9 = model->addOperand(&type2); auto param10 = model->addOperand(&type2); auto param11 = model->addOperand(&type2); @@ -1375,23 +1375,23 @@ void CreateModel_dynamic_output_shape_nhwc_float16_2(Model *model) { auto param16 = model->addOperand(&type2); auto param17 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op41 = model->addOperand(&type25); + auto op41 = model->addOperand(&type26); // Phase 2, operations - static int32_t param9_init[] = {50}; + static int32_t param9_init[] = {30}; model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1); - static int32_t param10_init[] = {50}; + static int32_t param10_init[] = {30}; model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1); - static int32_t param11_init[] = {50}; + static int32_t param11_init[] = {30}; model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1); - static int32_t param12_init[] = {50}; + static int32_t param12_init[] = {30}; model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1); static int32_t param13_init[] = {5}; model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1); static int32_t param14_init[] = {5}; model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1); - static int32_t param15_init[] = {100}; + static int32_t param15_init[] = {35}; model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1); - static int32_t param16_init[] = {100}; + static int32_t param16_init[] = {35}; model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1); static int32_t param17_init[] = {0}; model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1); @@ -1413,10 +1413,10 @@ inline bool is_ignored_dynamic_output_shape_nhwc_float16_2(int i) { void CreateModel_dynamic_output_shape_nhwc_quant8_2(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type26(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.5f, 0); - OperandType type29(Type::TENSOR_QUANT8_ASYMM, {5, 52, 60, 3}, 0.5f, 0); + OperandType type27(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.5f, 0); + OperandType type30(Type::TENSOR_QUANT8_ASYMM, {5, 52, 60, 3}, 0.5f, 0); // Phase 1, operands - auto op11 = model->addOperand(&type29); + auto op11 = model->addOperand(&type30); auto param9 = model->addOperand(&type2); auto param10 = model->addOperand(&type2); auto param11 = model->addOperand(&type2); @@ -1427,23 +1427,23 @@ void CreateModel_dynamic_output_shape_nhwc_quant8_2(Model *model) { auto param16 = model->addOperand(&type2); auto param17 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op41 = model->addOperand(&type26); + auto op41 = model->addOperand(&type27); // Phase 2, operations - static int32_t param9_init[] = {50}; + static int32_t param9_init[] = {30}; model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1); - static int32_t param10_init[] = {50}; + static int32_t param10_init[] = {30}; model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1); - static int32_t param11_init[] = {50}; + static int32_t param11_init[] = {30}; model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1); - static int32_t param12_init[] = {50}; + static int32_t param12_init[] = {30}; model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1); static int32_t param13_init[] = {5}; model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1); static int32_t param14_init[] = {5}; model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1); - static int32_t param15_init[] = {100}; + static int32_t param15_init[] = {35}; model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1); - static int32_t param16_init[] = {100}; + static int32_t param16_init[] = {35}; model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1); static int32_t param17_init[] = {0}; model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1); @@ -1465,10 +1465,10 @@ inline bool is_ignored_dynamic_output_shape_nhwc_quant8_2(int i) { void CreateModel_dynamic_output_shape_nchw_2(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type31(Type::TENSOR_FLOAT32, {5, 3, 52, 60}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type32(Type::TENSOR_FLOAT32, {5, 3, 52, 60}); // Phase 1, operands - auto op11 = model->addOperand(&type31); + auto op11 = model->addOperand(&type32); auto param9 = model->addOperand(&type2); auto param10 = model->addOperand(&type2); auto param11 = model->addOperand(&type2); @@ -1479,23 +1479,23 @@ void CreateModel_dynamic_output_shape_nchw_2(Model *model) { auto param16 = model->addOperand(&type2); auto param17 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op41 = model->addOperand(&type24); + auto op41 = model->addOperand(&type25); // Phase 2, operations - static int32_t param9_init[] = {50}; + static int32_t param9_init[] = {30}; model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1); - static int32_t param10_init[] = {50}; + static int32_t param10_init[] = {30}; model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1); - static int32_t param11_init[] = {50}; + static int32_t param11_init[] = {30}; model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1); - static int32_t param12_init[] = {50}; + static int32_t param12_init[] = {30}; model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1); static int32_t param13_init[] = {5}; model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1); static int32_t param14_init[] = {5}; model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1); - static int32_t param15_init[] = {100}; + static int32_t param15_init[] = {35}; model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1); - static int32_t param16_init[] = {100}; + static int32_t param16_init[] = {35}; model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1); static int32_t param17_init[] = {0}; model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1); @@ -1517,10 +1517,10 @@ inline bool is_ignored_dynamic_output_shape_nchw_2(int i) { void CreateModel_dynamic_output_shape_nchw_relaxed_2(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type31(Type::TENSOR_FLOAT32, {5, 3, 52, 60}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type32(Type::TENSOR_FLOAT32, {5, 3, 52, 60}); // Phase 1, operands - auto op11 = model->addOperand(&type31); + auto op11 = model->addOperand(&type32); auto param9 = model->addOperand(&type2); auto param10 = model->addOperand(&type2); auto param11 = model->addOperand(&type2); @@ -1531,23 +1531,23 @@ void CreateModel_dynamic_output_shape_nchw_relaxed_2(Model *model) { auto param16 = model->addOperand(&type2); auto param17 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op41 = model->addOperand(&type24); + auto op41 = model->addOperand(&type25); // Phase 2, operations - static int32_t param9_init[] = {50}; + static int32_t param9_init[] = {30}; model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1); - static int32_t param10_init[] = {50}; + static int32_t param10_init[] = {30}; model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1); - static int32_t param11_init[] = {50}; + static int32_t param11_init[] = {30}; model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1); - static int32_t param12_init[] = {50}; + static int32_t param12_init[] = {30}; model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1); static int32_t param13_init[] = {5}; model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1); static int32_t param14_init[] = {5}; model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1); - static int32_t param15_init[] = {100}; + static int32_t param15_init[] = {35}; model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1); - static int32_t param16_init[] = {100}; + static int32_t param16_init[] = {35}; model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1); static int32_t param17_init[] = {0}; model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1); @@ -1571,10 +1571,10 @@ inline bool is_ignored_dynamic_output_shape_nchw_relaxed_2(int i) { void CreateModel_dynamic_output_shape_nchw_float16_2(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type25(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); - OperandType type33(Type::TENSOR_FLOAT16, {5, 3, 52, 60}); + OperandType type26(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); + OperandType type34(Type::TENSOR_FLOAT16, {5, 3, 52, 60}); // Phase 1, operands - auto op11 = model->addOperand(&type33); + auto op11 = model->addOperand(&type34); auto param9 = model->addOperand(&type2); auto param10 = model->addOperand(&type2); auto param11 = model->addOperand(&type2); @@ -1585,23 +1585,23 @@ void CreateModel_dynamic_output_shape_nchw_float16_2(Model *model) { auto param16 = model->addOperand(&type2); auto param17 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op41 = model->addOperand(&type25); + auto op41 = model->addOperand(&type26); // Phase 2, operations - static int32_t param9_init[] = {50}; + static int32_t param9_init[] = {30}; model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1); - static int32_t param10_init[] = {50}; + static int32_t param10_init[] = {30}; model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1); - static int32_t param11_init[] = {50}; + static int32_t param11_init[] = {30}; model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1); - static int32_t param12_init[] = {50}; + static int32_t param12_init[] = {30}; model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1); static int32_t param13_init[] = {5}; model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1); static int32_t param14_init[] = {5}; model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1); - static int32_t param15_init[] = {100}; + static int32_t param15_init[] = {35}; model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1); - static int32_t param16_init[] = {100}; + static int32_t param16_init[] = {35}; model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1); static int32_t param17_init[] = {0}; model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1); @@ -1623,10 +1623,10 @@ inline bool is_ignored_dynamic_output_shape_nchw_float16_2(int i) { void CreateModel_dynamic_output_shape_nchw_quant8_2(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type26(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.5f, 0); - OperandType type35(Type::TENSOR_QUANT8_ASYMM, {5, 3, 52, 60}, 0.5f, 0); + OperandType type27(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.5f, 0); + OperandType type36(Type::TENSOR_QUANT8_ASYMM, {5, 3, 52, 60}, 0.5f, 0); // Phase 1, operands - auto op11 = model->addOperand(&type35); + auto op11 = model->addOperand(&type36); auto param9 = model->addOperand(&type2); auto param10 = model->addOperand(&type2); auto param11 = model->addOperand(&type2); @@ -1637,23 +1637,23 @@ void CreateModel_dynamic_output_shape_nchw_quant8_2(Model *model) { auto param16 = model->addOperand(&type2); auto param17 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op41 = model->addOperand(&type26); + auto op41 = model->addOperand(&type27); // Phase 2, operations - static int32_t param9_init[] = {50}; + static int32_t param9_init[] = {30}; model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1); - static int32_t param10_init[] = {50}; + static int32_t param10_init[] = {30}; model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1); - static int32_t param11_init[] = {50}; + static int32_t param11_init[] = {30}; model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1); - static int32_t param12_init[] = {50}; + static int32_t param12_init[] = {30}; model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1); static int32_t param13_init[] = {5}; model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1); static int32_t param14_init[] = {5}; model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1); - static int32_t param15_init[] = {100}; + static int32_t param15_init[] = {35}; model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1); - static int32_t param16_init[] = {100}; + static int32_t param16_init[] = {35}; model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1); static int32_t param17_init[] = {0}; model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1); @@ -1781,10 +1781,10 @@ inline bool is_ignored_nhwc_relaxed_3(int i) { void CreateModel_nhwc_float16_3(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type37(Type::TENSOR_FLOAT16, {1, 200, 180, 1}); - OperandType type38(Type::TENSOR_FLOAT16, {1, 96, 86, 1}); + OperandType type38(Type::TENSOR_FLOAT16, {1, 200, 180, 1}); + OperandType type39(Type::TENSOR_FLOAT16, {1, 96, 86, 1}); // Phase 1, operands - auto op12 = model->addOperand(&type37); + auto op12 = model->addOperand(&type38); auto param18 = model->addOperand(&type2); auto param19 = model->addOperand(&type2); auto param20 = model->addOperand(&type2); @@ -1795,7 +1795,7 @@ void CreateModel_nhwc_float16_3(Model *model) { auto param25 = model->addOperand(&type2); auto param26 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op42 = model->addOperand(&type38); + auto op42 = model->addOperand(&type39); // Phase 2, operations static int32_t param18_init[] = {0}; model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1); @@ -1833,10 +1833,10 @@ inline bool is_ignored_nhwc_float16_3(int i) { void CreateModel_nhwc_quant8_3(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type39(Type::TENSOR_QUANT8_ASYMM, {1, 200, 180, 1}, 0.25f, 0); - OperandType type40(Type::TENSOR_QUANT8_ASYMM, {1, 96, 86, 1}, 0.25f, 0); + OperandType type40(Type::TENSOR_QUANT8_ASYMM, {1, 200, 180, 1}, 0.25f, 0); + OperandType type41(Type::TENSOR_QUANT8_ASYMM, {1, 96, 86, 1}, 0.25f, 0); // Phase 1, operands - auto op12 = model->addOperand(&type39); + auto op12 = model->addOperand(&type40); auto param18 = model->addOperand(&type2); auto param19 = model->addOperand(&type2); auto param20 = model->addOperand(&type2); @@ -1847,7 +1847,7 @@ void CreateModel_nhwc_quant8_3(Model *model) { auto param25 = model->addOperand(&type2); auto param26 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op42 = model->addOperand(&type40); + auto op42 = model->addOperand(&type41); // Phase 2, operations static int32_t param18_init[] = {0}; model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1); @@ -1885,10 +1885,10 @@ inline bool is_ignored_nhwc_quant8_3(int i) { void CreateModel_nchw_3(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type41(Type::TENSOR_FLOAT32, {1, 1, 200, 180}); - OperandType type42(Type::TENSOR_FLOAT32, {1, 1, 96, 86}); + OperandType type42(Type::TENSOR_FLOAT32, {1, 1, 200, 180}); + OperandType type43(Type::TENSOR_FLOAT32, {1, 1, 96, 86}); // Phase 1, operands - auto op12 = model->addOperand(&type41); + auto op12 = model->addOperand(&type42); auto param18 = model->addOperand(&type2); auto param19 = model->addOperand(&type2); auto param20 = model->addOperand(&type2); @@ -1899,7 +1899,7 @@ void CreateModel_nchw_3(Model *model) { auto param25 = model->addOperand(&type2); auto param26 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op42 = model->addOperand(&type42); + auto op42 = model->addOperand(&type43); // Phase 2, operations static int32_t param18_init[] = {0}; model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1); @@ -1937,10 +1937,10 @@ inline bool is_ignored_nchw_3(int i) { void CreateModel_nchw_relaxed_3(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type41(Type::TENSOR_FLOAT32, {1, 1, 200, 180}); - OperandType type42(Type::TENSOR_FLOAT32, {1, 1, 96, 86}); + OperandType type42(Type::TENSOR_FLOAT32, {1, 1, 200, 180}); + OperandType type43(Type::TENSOR_FLOAT32, {1, 1, 96, 86}); // Phase 1, operands - auto op12 = model->addOperand(&type41); + auto op12 = model->addOperand(&type42); auto param18 = model->addOperand(&type2); auto param19 = model->addOperand(&type2); auto param20 = model->addOperand(&type2); @@ -1951,7 +1951,7 @@ void CreateModel_nchw_relaxed_3(Model *model) { auto param25 = model->addOperand(&type2); auto param26 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op42 = model->addOperand(&type42); + auto op42 = model->addOperand(&type43); // Phase 2, operations static int32_t param18_init[] = {0}; model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1); @@ -1991,10 +1991,10 @@ inline bool is_ignored_nchw_relaxed_3(int i) { void CreateModel_nchw_float16_3(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type43(Type::TENSOR_FLOAT16, {1, 1, 200, 180}); - OperandType type44(Type::TENSOR_FLOAT16, {1, 1, 96, 86}); + OperandType type44(Type::TENSOR_FLOAT16, {1, 1, 200, 180}); + OperandType type45(Type::TENSOR_FLOAT16, {1, 1, 96, 86}); // Phase 1, operands - auto op12 = model->addOperand(&type43); + auto op12 = model->addOperand(&type44); auto param18 = model->addOperand(&type2); auto param19 = model->addOperand(&type2); auto param20 = model->addOperand(&type2); @@ -2005,7 +2005,7 @@ void CreateModel_nchw_float16_3(Model *model) { auto param25 = model->addOperand(&type2); auto param26 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op42 = model->addOperand(&type44); + auto op42 = model->addOperand(&type45); // Phase 2, operations static int32_t param18_init[] = {0}; model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1); @@ -2043,10 +2043,10 @@ inline bool is_ignored_nchw_float16_3(int i) { void CreateModel_nchw_quant8_3(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type45(Type::TENSOR_QUANT8_ASYMM, {1, 1, 200, 180}, 0.25f, 0); - OperandType type46(Type::TENSOR_QUANT8_ASYMM, {1, 1, 96, 86}, 0.25f, 0); + OperandType type46(Type::TENSOR_QUANT8_ASYMM, {1, 1, 200, 180}, 0.25f, 0); + OperandType type47(Type::TENSOR_QUANT8_ASYMM, {1, 1, 96, 86}, 0.25f, 0); // Phase 1, operands - auto op12 = model->addOperand(&type45); + auto op12 = model->addOperand(&type46); auto param18 = model->addOperand(&type2); auto param19 = model->addOperand(&type2); auto param20 = model->addOperand(&type2); @@ -2057,7 +2057,7 @@ void CreateModel_nchw_quant8_3(Model *model) { auto param25 = model->addOperand(&type2); auto param26 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op42 = model->addOperand(&type46); + auto op42 = model->addOperand(&type47); // Phase 2, operations static int32_t param18_init[] = {0}; model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1); @@ -2095,7 +2095,7 @@ inline bool is_ignored_nchw_quant8_3(int i) { void CreateModel_dynamic_output_shape_nhwc_3(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); OperandType type5(Type::TENSOR_FLOAT32, {1, 200, 180, 1}); // Phase 1, operands auto op12 = model->addOperand(&type5); @@ -2109,7 +2109,7 @@ void CreateModel_dynamic_output_shape_nhwc_3(Model *model) { auto param25 = model->addOperand(&type2); auto param26 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op42 = model->addOperand(&type24); + auto op42 = model->addOperand(&type25); // Phase 2, operations static int32_t param18_init[] = {0}; model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1); @@ -2147,7 +2147,7 @@ inline bool is_ignored_dynamic_output_shape_nhwc_3(int i) { void CreateModel_dynamic_output_shape_nhwc_relaxed_3(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); OperandType type5(Type::TENSOR_FLOAT32, {1, 200, 180, 1}); // Phase 1, operands auto op12 = model->addOperand(&type5); @@ -2161,7 +2161,7 @@ void CreateModel_dynamic_output_shape_nhwc_relaxed_3(Model *model) { auto param25 = model->addOperand(&type2); auto param26 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op42 = model->addOperand(&type24); + auto op42 = model->addOperand(&type25); // Phase 2, operations static int32_t param18_init[] = {0}; model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1); @@ -2201,10 +2201,10 @@ inline bool is_ignored_dynamic_output_shape_nhwc_relaxed_3(int i) { void CreateModel_dynamic_output_shape_nhwc_float16_3(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type25(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); - OperandType type37(Type::TENSOR_FLOAT16, {1, 200, 180, 1}); + OperandType type26(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); + OperandType type38(Type::TENSOR_FLOAT16, {1, 200, 180, 1}); // Phase 1, operands - auto op12 = model->addOperand(&type37); + auto op12 = model->addOperand(&type38); auto param18 = model->addOperand(&type2); auto param19 = model->addOperand(&type2); auto param20 = model->addOperand(&type2); @@ -2215,7 +2215,7 @@ void CreateModel_dynamic_output_shape_nhwc_float16_3(Model *model) { auto param25 = model->addOperand(&type2); auto param26 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op42 = model->addOperand(&type25); + auto op42 = model->addOperand(&type26); // Phase 2, operations static int32_t param18_init[] = {0}; model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1); @@ -2253,10 +2253,10 @@ inline bool is_ignored_dynamic_output_shape_nhwc_float16_3(int i) { void CreateModel_dynamic_output_shape_nhwc_quant8_3(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type39(Type::TENSOR_QUANT8_ASYMM, {1, 200, 180, 1}, 0.25f, 0); - OperandType type47(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.25f, 0); + OperandType type40(Type::TENSOR_QUANT8_ASYMM, {1, 200, 180, 1}, 0.25f, 0); + OperandType type48(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.25f, 0); // Phase 1, operands - auto op12 = model->addOperand(&type39); + auto op12 = model->addOperand(&type40); auto param18 = model->addOperand(&type2); auto param19 = model->addOperand(&type2); auto param20 = model->addOperand(&type2); @@ -2267,7 +2267,7 @@ void CreateModel_dynamic_output_shape_nhwc_quant8_3(Model *model) { auto param25 = model->addOperand(&type2); auto param26 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op42 = model->addOperand(&type47); + auto op42 = model->addOperand(&type48); // Phase 2, operations static int32_t param18_init[] = {0}; model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1); @@ -2305,10 +2305,10 @@ inline bool is_ignored_dynamic_output_shape_nhwc_quant8_3(int i) { void CreateModel_dynamic_output_shape_nchw_3(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type41(Type::TENSOR_FLOAT32, {1, 1, 200, 180}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type42(Type::TENSOR_FLOAT32, {1, 1, 200, 180}); // Phase 1, operands - auto op12 = model->addOperand(&type41); + auto op12 = model->addOperand(&type42); auto param18 = model->addOperand(&type2); auto param19 = model->addOperand(&type2); auto param20 = model->addOperand(&type2); @@ -2319,7 +2319,7 @@ void CreateModel_dynamic_output_shape_nchw_3(Model *model) { auto param25 = model->addOperand(&type2); auto param26 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op42 = model->addOperand(&type24); + auto op42 = model->addOperand(&type25); // Phase 2, operations static int32_t param18_init[] = {0}; model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1); @@ -2357,10 +2357,10 @@ inline bool is_ignored_dynamic_output_shape_nchw_3(int i) { void CreateModel_dynamic_output_shape_nchw_relaxed_3(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type41(Type::TENSOR_FLOAT32, {1, 1, 200, 180}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type42(Type::TENSOR_FLOAT32, {1, 1, 200, 180}); // Phase 1, operands - auto op12 = model->addOperand(&type41); + auto op12 = model->addOperand(&type42); auto param18 = model->addOperand(&type2); auto param19 = model->addOperand(&type2); auto param20 = model->addOperand(&type2); @@ -2371,7 +2371,7 @@ void CreateModel_dynamic_output_shape_nchw_relaxed_3(Model *model) { auto param25 = model->addOperand(&type2); auto param26 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op42 = model->addOperand(&type24); + auto op42 = model->addOperand(&type25); // Phase 2, operations static int32_t param18_init[] = {0}; model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1); @@ -2411,10 +2411,10 @@ inline bool is_ignored_dynamic_output_shape_nchw_relaxed_3(int i) { void CreateModel_dynamic_output_shape_nchw_float16_3(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type25(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); - OperandType type43(Type::TENSOR_FLOAT16, {1, 1, 200, 180}); + OperandType type26(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); + OperandType type44(Type::TENSOR_FLOAT16, {1, 1, 200, 180}); // Phase 1, operands - auto op12 = model->addOperand(&type43); + auto op12 = model->addOperand(&type44); auto param18 = model->addOperand(&type2); auto param19 = model->addOperand(&type2); auto param20 = model->addOperand(&type2); @@ -2425,7 +2425,7 @@ void CreateModel_dynamic_output_shape_nchw_float16_3(Model *model) { auto param25 = model->addOperand(&type2); auto param26 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op42 = model->addOperand(&type25); + auto op42 = model->addOperand(&type26); // Phase 2, operations static int32_t param18_init[] = {0}; model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1); @@ -2463,10 +2463,10 @@ inline bool is_ignored_dynamic_output_shape_nchw_float16_3(int i) { void CreateModel_dynamic_output_shape_nchw_quant8_3(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type45(Type::TENSOR_QUANT8_ASYMM, {1, 1, 200, 180}, 0.25f, 0); - OperandType type47(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.25f, 0); + OperandType type46(Type::TENSOR_QUANT8_ASYMM, {1, 1, 200, 180}, 0.25f, 0); + OperandType type48(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.25f, 0); // Phase 1, operands - auto op12 = model->addOperand(&type45); + auto op12 = model->addOperand(&type46); auto param18 = model->addOperand(&type2); auto param19 = model->addOperand(&type2); auto param20 = model->addOperand(&type2); @@ -2477,7 +2477,7 @@ void CreateModel_dynamic_output_shape_nchw_quant8_3(Model *model) { auto param25 = model->addOperand(&type2); auto param26 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op42 = model->addOperand(&type47); + auto op42 = model->addOperand(&type48); // Phase 2, operations static int32_t param18_init[] = {0}; model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1); @@ -2516,7 +2516,7 @@ void CreateModel_nhwc_4(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); OperandType type3(Type::TENSOR_FLOAT32, {5, 52, 60, 3}); - OperandType type4(Type::TENSOR_FLOAT32, {5, 11, 13, 3}); + OperandType type7(Type::TENSOR_FLOAT32, {5, 11, 13, 3}); // Phase 1, operands auto op13 = model->addOperand(&type3); auto param27 = model->addOperand(&type2); @@ -2529,7 +2529,7 @@ void CreateModel_nhwc_4(Model *model) { auto param34 = model->addOperand(&type2); auto param35 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op43 = model->addOperand(&type4); + auto op43 = model->addOperand(&type7); // Phase 2, operations static int32_t param27_init[] = {50}; model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1); @@ -2568,7 +2568,7 @@ void CreateModel_nhwc_relaxed_4(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); OperandType type3(Type::TENSOR_FLOAT32, {5, 52, 60, 3}); - OperandType type4(Type::TENSOR_FLOAT32, {5, 11, 13, 3}); + OperandType type7(Type::TENSOR_FLOAT32, {5, 11, 13, 3}); // Phase 1, operands auto op13 = model->addOperand(&type3); auto param27 = model->addOperand(&type2); @@ -2581,7 +2581,7 @@ void CreateModel_nhwc_relaxed_4(Model *model) { auto param34 = model->addOperand(&type2); auto param35 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op43 = model->addOperand(&type4); + auto op43 = model->addOperand(&type7); // Phase 2, operations static int32_t param27_init[] = {50}; model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1); @@ -2621,10 +2621,10 @@ inline bool is_ignored_nhwc_relaxed_4(int i) { void CreateModel_nhwc_float16_4(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type27(Type::TENSOR_FLOAT16, {5, 52, 60, 3}); - OperandType type28(Type::TENSOR_FLOAT16, {5, 11, 13, 3}); + OperandType type28(Type::TENSOR_FLOAT16, {5, 52, 60, 3}); + OperandType type49(Type::TENSOR_FLOAT16, {5, 11, 13, 3}); // Phase 1, operands - auto op13 = model->addOperand(&type27); + auto op13 = model->addOperand(&type28); auto param27 = model->addOperand(&type2); auto param28 = model->addOperand(&type2); auto param29 = model->addOperand(&type2); @@ -2635,7 +2635,7 @@ void CreateModel_nhwc_float16_4(Model *model) { auto param34 = model->addOperand(&type2); auto param35 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op43 = model->addOperand(&type28); + auto op43 = model->addOperand(&type49); // Phase 2, operations static int32_t param27_init[] = {50}; model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1); @@ -2673,10 +2673,10 @@ inline bool is_ignored_nhwc_float16_4(int i) { void CreateModel_nhwc_quant8_4(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type29(Type::TENSOR_QUANT8_ASYMM, {5, 52, 60, 3}, 0.5f, 0); - OperandType type30(Type::TENSOR_QUANT8_ASYMM, {5, 11, 13, 3}, 0.5f, 0); + OperandType type30(Type::TENSOR_QUANT8_ASYMM, {5, 52, 60, 3}, 0.5f, 0); + OperandType type50(Type::TENSOR_QUANT8_ASYMM, {5, 11, 13, 3}, 0.5f, 0); // Phase 1, operands - auto op13 = model->addOperand(&type29); + auto op13 = model->addOperand(&type30); auto param27 = model->addOperand(&type2); auto param28 = model->addOperand(&type2); auto param29 = model->addOperand(&type2); @@ -2687,7 +2687,7 @@ void CreateModel_nhwc_quant8_4(Model *model) { auto param34 = model->addOperand(&type2); auto param35 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op43 = model->addOperand(&type30); + auto op43 = model->addOperand(&type50); // Phase 2, operations static int32_t param27_init[] = {50}; model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1); @@ -2725,10 +2725,10 @@ inline bool is_ignored_nhwc_quant8_4(int i) { void CreateModel_nchw_4(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type31(Type::TENSOR_FLOAT32, {5, 3, 52, 60}); - OperandType type32(Type::TENSOR_FLOAT32, {5, 3, 11, 13}); + OperandType type32(Type::TENSOR_FLOAT32, {5, 3, 52, 60}); + OperandType type51(Type::TENSOR_FLOAT32, {5, 3, 11, 13}); // Phase 1, operands - auto op13 = model->addOperand(&type31); + auto op13 = model->addOperand(&type32); auto param27 = model->addOperand(&type2); auto param28 = model->addOperand(&type2); auto param29 = model->addOperand(&type2); @@ -2739,7 +2739,7 @@ void CreateModel_nchw_4(Model *model) { auto param34 = model->addOperand(&type2); auto param35 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op43 = model->addOperand(&type32); + auto op43 = model->addOperand(&type51); // Phase 2, operations static int32_t param27_init[] = {50}; model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1); @@ -2777,10 +2777,10 @@ inline bool is_ignored_nchw_4(int i) { void CreateModel_nchw_relaxed_4(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type31(Type::TENSOR_FLOAT32, {5, 3, 52, 60}); - OperandType type32(Type::TENSOR_FLOAT32, {5, 3, 11, 13}); + OperandType type32(Type::TENSOR_FLOAT32, {5, 3, 52, 60}); + OperandType type51(Type::TENSOR_FLOAT32, {5, 3, 11, 13}); // Phase 1, operands - auto op13 = model->addOperand(&type31); + auto op13 = model->addOperand(&type32); auto param27 = model->addOperand(&type2); auto param28 = model->addOperand(&type2); auto param29 = model->addOperand(&type2); @@ -2791,7 +2791,7 @@ void CreateModel_nchw_relaxed_4(Model *model) { auto param34 = model->addOperand(&type2); auto param35 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op43 = model->addOperand(&type32); + auto op43 = model->addOperand(&type51); // Phase 2, operations static int32_t param27_init[] = {50}; model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1); @@ -2831,10 +2831,10 @@ inline bool is_ignored_nchw_relaxed_4(int i) { void CreateModel_nchw_float16_4(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type33(Type::TENSOR_FLOAT16, {5, 3, 52, 60}); - OperandType type34(Type::TENSOR_FLOAT16, {5, 3, 11, 13}); + OperandType type34(Type::TENSOR_FLOAT16, {5, 3, 52, 60}); + OperandType type52(Type::TENSOR_FLOAT16, {5, 3, 11, 13}); // Phase 1, operands - auto op13 = model->addOperand(&type33); + auto op13 = model->addOperand(&type34); auto param27 = model->addOperand(&type2); auto param28 = model->addOperand(&type2); auto param29 = model->addOperand(&type2); @@ -2845,7 +2845,7 @@ void CreateModel_nchw_float16_4(Model *model) { auto param34 = model->addOperand(&type2); auto param35 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op43 = model->addOperand(&type34); + auto op43 = model->addOperand(&type52); // Phase 2, operations static int32_t param27_init[] = {50}; model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1); @@ -2883,10 +2883,10 @@ inline bool is_ignored_nchw_float16_4(int i) { void CreateModel_nchw_quant8_4(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type35(Type::TENSOR_QUANT8_ASYMM, {5, 3, 52, 60}, 0.5f, 0); - OperandType type36(Type::TENSOR_QUANT8_ASYMM, {5, 3, 11, 13}, 0.5f, 0); + OperandType type36(Type::TENSOR_QUANT8_ASYMM, {5, 3, 52, 60}, 0.5f, 0); + OperandType type53(Type::TENSOR_QUANT8_ASYMM, {5, 3, 11, 13}, 0.5f, 0); // Phase 1, operands - auto op13 = model->addOperand(&type35); + auto op13 = model->addOperand(&type36); auto param27 = model->addOperand(&type2); auto param28 = model->addOperand(&type2); auto param29 = model->addOperand(&type2); @@ -2897,7 +2897,7 @@ void CreateModel_nchw_quant8_4(Model *model) { auto param34 = model->addOperand(&type2); auto param35 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op43 = model->addOperand(&type36); + auto op43 = model->addOperand(&type53); // Phase 2, operations static int32_t param27_init[] = {50}; model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1); @@ -2935,7 +2935,7 @@ inline bool is_ignored_nchw_quant8_4(int i) { void CreateModel_dynamic_output_shape_nhwc_4(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); OperandType type3(Type::TENSOR_FLOAT32, {5, 52, 60, 3}); // Phase 1, operands auto op13 = model->addOperand(&type3); @@ -2949,7 +2949,7 @@ void CreateModel_dynamic_output_shape_nhwc_4(Model *model) { auto param34 = model->addOperand(&type2); auto param35 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op43 = model->addOperand(&type24); + auto op43 = model->addOperand(&type25); // Phase 2, operations static int32_t param27_init[] = {50}; model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1); @@ -2987,7 +2987,7 @@ inline bool is_ignored_dynamic_output_shape_nhwc_4(int i) { void CreateModel_dynamic_output_shape_nhwc_relaxed_4(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); OperandType type3(Type::TENSOR_FLOAT32, {5, 52, 60, 3}); // Phase 1, operands auto op13 = model->addOperand(&type3); @@ -3001,7 +3001,7 @@ void CreateModel_dynamic_output_shape_nhwc_relaxed_4(Model *model) { auto param34 = model->addOperand(&type2); auto param35 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op43 = model->addOperand(&type24); + auto op43 = model->addOperand(&type25); // Phase 2, operations static int32_t param27_init[] = {50}; model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1); @@ -3041,10 +3041,10 @@ inline bool is_ignored_dynamic_output_shape_nhwc_relaxed_4(int i) { void CreateModel_dynamic_output_shape_nhwc_float16_4(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type25(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); - OperandType type27(Type::TENSOR_FLOAT16, {5, 52, 60, 3}); + OperandType type26(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); + OperandType type28(Type::TENSOR_FLOAT16, {5, 52, 60, 3}); // Phase 1, operands - auto op13 = model->addOperand(&type27); + auto op13 = model->addOperand(&type28); auto param27 = model->addOperand(&type2); auto param28 = model->addOperand(&type2); auto param29 = model->addOperand(&type2); @@ -3055,7 +3055,7 @@ void CreateModel_dynamic_output_shape_nhwc_float16_4(Model *model) { auto param34 = model->addOperand(&type2); auto param35 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op43 = model->addOperand(&type25); + auto op43 = model->addOperand(&type26); // Phase 2, operations static int32_t param27_init[] = {50}; model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1); @@ -3093,10 +3093,10 @@ inline bool is_ignored_dynamic_output_shape_nhwc_float16_4(int i) { void CreateModel_dynamic_output_shape_nhwc_quant8_4(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type26(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.5f, 0); - OperandType type29(Type::TENSOR_QUANT8_ASYMM, {5, 52, 60, 3}, 0.5f, 0); + OperandType type27(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.5f, 0); + OperandType type30(Type::TENSOR_QUANT8_ASYMM, {5, 52, 60, 3}, 0.5f, 0); // Phase 1, operands - auto op13 = model->addOperand(&type29); + auto op13 = model->addOperand(&type30); auto param27 = model->addOperand(&type2); auto param28 = model->addOperand(&type2); auto param29 = model->addOperand(&type2); @@ -3107,7 +3107,7 @@ void CreateModel_dynamic_output_shape_nhwc_quant8_4(Model *model) { auto param34 = model->addOperand(&type2); auto param35 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op43 = model->addOperand(&type26); + auto op43 = model->addOperand(&type27); // Phase 2, operations static int32_t param27_init[] = {50}; model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1); @@ -3145,10 +3145,10 @@ inline bool is_ignored_dynamic_output_shape_nhwc_quant8_4(int i) { void CreateModel_dynamic_output_shape_nchw_4(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type31(Type::TENSOR_FLOAT32, {5, 3, 52, 60}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type32(Type::TENSOR_FLOAT32, {5, 3, 52, 60}); // Phase 1, operands - auto op13 = model->addOperand(&type31); + auto op13 = model->addOperand(&type32); auto param27 = model->addOperand(&type2); auto param28 = model->addOperand(&type2); auto param29 = model->addOperand(&type2); @@ -3159,7 +3159,7 @@ void CreateModel_dynamic_output_shape_nchw_4(Model *model) { auto param34 = model->addOperand(&type2); auto param35 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op43 = model->addOperand(&type24); + auto op43 = model->addOperand(&type25); // Phase 2, operations static int32_t param27_init[] = {50}; model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1); @@ -3197,10 +3197,10 @@ inline bool is_ignored_dynamic_output_shape_nchw_4(int i) { void CreateModel_dynamic_output_shape_nchw_relaxed_4(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type31(Type::TENSOR_FLOAT32, {5, 3, 52, 60}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type32(Type::TENSOR_FLOAT32, {5, 3, 52, 60}); // Phase 1, operands - auto op13 = model->addOperand(&type31); + auto op13 = model->addOperand(&type32); auto param27 = model->addOperand(&type2); auto param28 = model->addOperand(&type2); auto param29 = model->addOperand(&type2); @@ -3211,7 +3211,7 @@ void CreateModel_dynamic_output_shape_nchw_relaxed_4(Model *model) { auto param34 = model->addOperand(&type2); auto param35 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op43 = model->addOperand(&type24); + auto op43 = model->addOperand(&type25); // Phase 2, operations static int32_t param27_init[] = {50}; model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1); @@ -3251,10 +3251,10 @@ inline bool is_ignored_dynamic_output_shape_nchw_relaxed_4(int i) { void CreateModel_dynamic_output_shape_nchw_float16_4(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type25(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); - OperandType type33(Type::TENSOR_FLOAT16, {5, 3, 52, 60}); + OperandType type26(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); + OperandType type34(Type::TENSOR_FLOAT16, {5, 3, 52, 60}); // Phase 1, operands - auto op13 = model->addOperand(&type33); + auto op13 = model->addOperand(&type34); auto param27 = model->addOperand(&type2); auto param28 = model->addOperand(&type2); auto param29 = model->addOperand(&type2); @@ -3265,7 +3265,7 @@ void CreateModel_dynamic_output_shape_nchw_float16_4(Model *model) { auto param34 = model->addOperand(&type2); auto param35 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op43 = model->addOperand(&type25); + auto op43 = model->addOperand(&type26); // Phase 2, operations static int32_t param27_init[] = {50}; model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1); @@ -3303,10 +3303,10 @@ inline bool is_ignored_dynamic_output_shape_nchw_float16_4(int i) { void CreateModel_dynamic_output_shape_nchw_quant8_4(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type26(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.5f, 0); - OperandType type35(Type::TENSOR_QUANT8_ASYMM, {5, 3, 52, 60}, 0.5f, 0); + OperandType type27(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.5f, 0); + OperandType type36(Type::TENSOR_QUANT8_ASYMM, {5, 3, 52, 60}, 0.5f, 0); // Phase 1, operands - auto op13 = model->addOperand(&type35); + auto op13 = model->addOperand(&type36); auto param27 = model->addOperand(&type2); auto param28 = model->addOperand(&type2); auto param29 = model->addOperand(&type2); @@ -3317,7 +3317,7 @@ void CreateModel_dynamic_output_shape_nchw_quant8_4(Model *model) { auto param34 = model->addOperand(&type2); auto param35 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op43 = model->addOperand(&type26); + auto op43 = model->addOperand(&type27); // Phase 2, operations static int32_t param27_init[] = {50}; model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1); @@ -3355,10 +3355,10 @@ inline bool is_ignored_dynamic_output_shape_nchw_quant8_4(int i) { void CreateModel_nhwc_5(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type7(Type::TENSOR_FLOAT32, {1, 2, 4, 1}); - OperandType type8(Type::TENSOR_FLOAT32, {1, 1, 2, 1}); + OperandType type8(Type::TENSOR_FLOAT32, {1, 2, 4, 1}); + OperandType type9(Type::TENSOR_FLOAT32, {1, 1, 2, 1}); // Phase 1, operands - auto op14 = model->addOperand(&type7); + auto op14 = model->addOperand(&type8); auto param36 = model->addOperand(&type2); auto param37 = model->addOperand(&type2); auto param38 = model->addOperand(&type2); @@ -3366,7 +3366,7 @@ void CreateModel_nhwc_5(Model *model) { auto param40 = model->addOperand(&type2); auto param41 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op44 = model->addOperand(&type8); + auto op44 = model->addOperand(&type9); // Phase 2, operations static int32_t param36_init[] = {1}; model->setOperandValue(param36, param36_init, sizeof(int32_t) * 1); @@ -3398,10 +3398,10 @@ inline bool is_ignored_nhwc_5(int i) { void CreateModel_nhwc_relaxed_5(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type7(Type::TENSOR_FLOAT32, {1, 2, 4, 1}); - OperandType type8(Type::TENSOR_FLOAT32, {1, 1, 2, 1}); + OperandType type8(Type::TENSOR_FLOAT32, {1, 2, 4, 1}); + OperandType type9(Type::TENSOR_FLOAT32, {1, 1, 2, 1}); // Phase 1, operands - auto op14 = model->addOperand(&type7); + auto op14 = model->addOperand(&type8); auto param36 = model->addOperand(&type2); auto param37 = model->addOperand(&type2); auto param38 = model->addOperand(&type2); @@ -3409,7 +3409,7 @@ void CreateModel_nhwc_relaxed_5(Model *model) { auto param40 = model->addOperand(&type2); auto param41 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op44 = model->addOperand(&type8); + auto op44 = model->addOperand(&type9); // Phase 2, operations static int32_t param36_init[] = {1}; model->setOperandValue(param36, param36_init, sizeof(int32_t) * 1); @@ -3443,10 +3443,10 @@ inline bool is_ignored_nhwc_relaxed_5(int i) { void CreateModel_nhwc_float16_5(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type48(Type::TENSOR_FLOAT16, {1, 2, 4, 1}); - OperandType type49(Type::TENSOR_FLOAT16, {1, 1, 2, 1}); + OperandType type54(Type::TENSOR_FLOAT16, {1, 2, 4, 1}); + OperandType type55(Type::TENSOR_FLOAT16, {1, 1, 2, 1}); // Phase 1, operands - auto op14 = model->addOperand(&type48); + auto op14 = model->addOperand(&type54); auto param36 = model->addOperand(&type2); auto param37 = model->addOperand(&type2); auto param38 = model->addOperand(&type2); @@ -3454,7 +3454,7 @@ void CreateModel_nhwc_float16_5(Model *model) { auto param40 = model->addOperand(&type2); auto param41 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op44 = model->addOperand(&type49); + auto op44 = model->addOperand(&type55); // Phase 2, operations static int32_t param36_init[] = {1}; model->setOperandValue(param36, param36_init, sizeof(int32_t) * 1); @@ -3486,10 +3486,10 @@ inline bool is_ignored_nhwc_float16_5(int i) { void CreateModel_nhwc_quant8_5(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type50(Type::TENSOR_QUANT8_ASYMM, {1, 2, 4, 1}, 0.25f, 0); - OperandType type51(Type::TENSOR_QUANT8_ASYMM, {1, 1, 2, 1}, 0.25f, 0); + OperandType type56(Type::TENSOR_QUANT8_ASYMM, {1, 2, 4, 1}, 0.25f, 0); + OperandType type57(Type::TENSOR_QUANT8_ASYMM, {1, 1, 2, 1}, 0.25f, 0); // Phase 1, operands - auto op14 = model->addOperand(&type50); + auto op14 = model->addOperand(&type56); auto param36 = model->addOperand(&type2); auto param37 = model->addOperand(&type2); auto param38 = model->addOperand(&type2); @@ -3497,7 +3497,7 @@ void CreateModel_nhwc_quant8_5(Model *model) { auto param40 = model->addOperand(&type2); auto param41 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op44 = model->addOperand(&type51); + auto op44 = model->addOperand(&type57); // Phase 2, operations static int32_t param36_init[] = {1}; model->setOperandValue(param36, param36_init, sizeof(int32_t) * 1); @@ -3529,10 +3529,10 @@ inline bool is_ignored_nhwc_quant8_5(int i) { void CreateModel_nchw_5(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type52(Type::TENSOR_FLOAT32, {1, 1, 2, 4}); - OperandType type53(Type::TENSOR_FLOAT32, {1, 1, 1, 2}); + OperandType type58(Type::TENSOR_FLOAT32, {1, 1, 2, 4}); + OperandType type59(Type::TENSOR_FLOAT32, {1, 1, 1, 2}); // Phase 1, operands - auto op14 = model->addOperand(&type52); + auto op14 = model->addOperand(&type58); auto param36 = model->addOperand(&type2); auto param37 = model->addOperand(&type2); auto param38 = model->addOperand(&type2); @@ -3540,7 +3540,7 @@ void CreateModel_nchw_5(Model *model) { auto param40 = model->addOperand(&type2); auto param41 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op44 = model->addOperand(&type53); + auto op44 = model->addOperand(&type59); // Phase 2, operations static int32_t param36_init[] = {1}; model->setOperandValue(param36, param36_init, sizeof(int32_t) * 1); @@ -3572,10 +3572,10 @@ inline bool is_ignored_nchw_5(int i) { void CreateModel_nchw_relaxed_5(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type52(Type::TENSOR_FLOAT32, {1, 1, 2, 4}); - OperandType type53(Type::TENSOR_FLOAT32, {1, 1, 1, 2}); + OperandType type58(Type::TENSOR_FLOAT32, {1, 1, 2, 4}); + OperandType type59(Type::TENSOR_FLOAT32, {1, 1, 1, 2}); // Phase 1, operands - auto op14 = model->addOperand(&type52); + auto op14 = model->addOperand(&type58); auto param36 = model->addOperand(&type2); auto param37 = model->addOperand(&type2); auto param38 = model->addOperand(&type2); @@ -3583,7 +3583,7 @@ void CreateModel_nchw_relaxed_5(Model *model) { auto param40 = model->addOperand(&type2); auto param41 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op44 = model->addOperand(&type53); + auto op44 = model->addOperand(&type59); // Phase 2, operations static int32_t param36_init[] = {1}; model->setOperandValue(param36, param36_init, sizeof(int32_t) * 1); @@ -3617,10 +3617,10 @@ inline bool is_ignored_nchw_relaxed_5(int i) { void CreateModel_nchw_float16_5(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type54(Type::TENSOR_FLOAT16, {1, 1, 2, 4}); - OperandType type55(Type::TENSOR_FLOAT16, {1, 1, 1, 2}); + OperandType type60(Type::TENSOR_FLOAT16, {1, 1, 2, 4}); + OperandType type61(Type::TENSOR_FLOAT16, {1, 1, 1, 2}); // Phase 1, operands - auto op14 = model->addOperand(&type54); + auto op14 = model->addOperand(&type60); auto param36 = model->addOperand(&type2); auto param37 = model->addOperand(&type2); auto param38 = model->addOperand(&type2); @@ -3628,7 +3628,7 @@ void CreateModel_nchw_float16_5(Model *model) { auto param40 = model->addOperand(&type2); auto param41 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op44 = model->addOperand(&type55); + auto op44 = model->addOperand(&type61); // Phase 2, operations static int32_t param36_init[] = {1}; model->setOperandValue(param36, param36_init, sizeof(int32_t) * 1); @@ -3660,10 +3660,10 @@ inline bool is_ignored_nchw_float16_5(int i) { void CreateModel_nchw_quant8_5(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type56(Type::TENSOR_QUANT8_ASYMM, {1, 1, 2, 4}, 0.25f, 0); - OperandType type57(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 2}, 0.25f, 0); + OperandType type62(Type::TENSOR_QUANT8_ASYMM, {1, 1, 2, 4}, 0.25f, 0); + OperandType type63(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 2}, 0.25f, 0); // Phase 1, operands - auto op14 = model->addOperand(&type56); + auto op14 = model->addOperand(&type62); auto param36 = model->addOperand(&type2); auto param37 = model->addOperand(&type2); auto param38 = model->addOperand(&type2); @@ -3671,7 +3671,7 @@ void CreateModel_nchw_quant8_5(Model *model) { auto param40 = model->addOperand(&type2); auto param41 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op44 = model->addOperand(&type57); + auto op44 = model->addOperand(&type63); // Phase 2, operations static int32_t param36_init[] = {1}; model->setOperandValue(param36, param36_init, sizeof(int32_t) * 1); @@ -3703,10 +3703,10 @@ inline bool is_ignored_nchw_quant8_5(int i) { void CreateModel_dynamic_output_shape_nhwc_5(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type7(Type::TENSOR_FLOAT32, {1, 2, 4, 1}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type8(Type::TENSOR_FLOAT32, {1, 2, 4, 1}); // Phase 1, operands - auto op14 = model->addOperand(&type7); + auto op14 = model->addOperand(&type8); auto param36 = model->addOperand(&type2); auto param37 = model->addOperand(&type2); auto param38 = model->addOperand(&type2); @@ -3714,7 +3714,7 @@ void CreateModel_dynamic_output_shape_nhwc_5(Model *model) { auto param40 = model->addOperand(&type2); auto param41 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op44 = model->addOperand(&type24); + auto op44 = model->addOperand(&type25); // Phase 2, operations static int32_t param36_init[] = {1}; model->setOperandValue(param36, param36_init, sizeof(int32_t) * 1); @@ -3746,10 +3746,10 @@ inline bool is_ignored_dynamic_output_shape_nhwc_5(int i) { void CreateModel_dynamic_output_shape_nhwc_relaxed_5(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type7(Type::TENSOR_FLOAT32, {1, 2, 4, 1}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type8(Type::TENSOR_FLOAT32, {1, 2, 4, 1}); // Phase 1, operands - auto op14 = model->addOperand(&type7); + auto op14 = model->addOperand(&type8); auto param36 = model->addOperand(&type2); auto param37 = model->addOperand(&type2); auto param38 = model->addOperand(&type2); @@ -3757,7 +3757,7 @@ void CreateModel_dynamic_output_shape_nhwc_relaxed_5(Model *model) { auto param40 = model->addOperand(&type2); auto param41 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op44 = model->addOperand(&type24); + auto op44 = model->addOperand(&type25); // Phase 2, operations static int32_t param36_init[] = {1}; model->setOperandValue(param36, param36_init, sizeof(int32_t) * 1); @@ -3791,10 +3791,10 @@ inline bool is_ignored_dynamic_output_shape_nhwc_relaxed_5(int i) { void CreateModel_dynamic_output_shape_nhwc_float16_5(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type25(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); - OperandType type48(Type::TENSOR_FLOAT16, {1, 2, 4, 1}); + OperandType type26(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); + OperandType type54(Type::TENSOR_FLOAT16, {1, 2, 4, 1}); // Phase 1, operands - auto op14 = model->addOperand(&type48); + auto op14 = model->addOperand(&type54); auto param36 = model->addOperand(&type2); auto param37 = model->addOperand(&type2); auto param38 = model->addOperand(&type2); @@ -3802,7 +3802,7 @@ void CreateModel_dynamic_output_shape_nhwc_float16_5(Model *model) { auto param40 = model->addOperand(&type2); auto param41 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op44 = model->addOperand(&type25); + auto op44 = model->addOperand(&type26); // Phase 2, operations static int32_t param36_init[] = {1}; model->setOperandValue(param36, param36_init, sizeof(int32_t) * 1); @@ -3834,10 +3834,10 @@ inline bool is_ignored_dynamic_output_shape_nhwc_float16_5(int i) { void CreateModel_dynamic_output_shape_nhwc_quant8_5(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type47(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.25f, 0); - OperandType type50(Type::TENSOR_QUANT8_ASYMM, {1, 2, 4, 1}, 0.25f, 0); + OperandType type48(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.25f, 0); + OperandType type56(Type::TENSOR_QUANT8_ASYMM, {1, 2, 4, 1}, 0.25f, 0); // Phase 1, operands - auto op14 = model->addOperand(&type50); + auto op14 = model->addOperand(&type56); auto param36 = model->addOperand(&type2); auto param37 = model->addOperand(&type2); auto param38 = model->addOperand(&type2); @@ -3845,7 +3845,7 @@ void CreateModel_dynamic_output_shape_nhwc_quant8_5(Model *model) { auto param40 = model->addOperand(&type2); auto param41 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op44 = model->addOperand(&type47); + auto op44 = model->addOperand(&type48); // Phase 2, operations static int32_t param36_init[] = {1}; model->setOperandValue(param36, param36_init, sizeof(int32_t) * 1); @@ -3877,10 +3877,10 @@ inline bool is_ignored_dynamic_output_shape_nhwc_quant8_5(int i) { void CreateModel_dynamic_output_shape_nchw_5(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type52(Type::TENSOR_FLOAT32, {1, 1, 2, 4}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type58(Type::TENSOR_FLOAT32, {1, 1, 2, 4}); // Phase 1, operands - auto op14 = model->addOperand(&type52); + auto op14 = model->addOperand(&type58); auto param36 = model->addOperand(&type2); auto param37 = model->addOperand(&type2); auto param38 = model->addOperand(&type2); @@ -3888,7 +3888,7 @@ void CreateModel_dynamic_output_shape_nchw_5(Model *model) { auto param40 = model->addOperand(&type2); auto param41 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op44 = model->addOperand(&type24); + auto op44 = model->addOperand(&type25); // Phase 2, operations static int32_t param36_init[] = {1}; model->setOperandValue(param36, param36_init, sizeof(int32_t) * 1); @@ -3920,10 +3920,10 @@ inline bool is_ignored_dynamic_output_shape_nchw_5(int i) { void CreateModel_dynamic_output_shape_nchw_relaxed_5(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type52(Type::TENSOR_FLOAT32, {1, 1, 2, 4}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type58(Type::TENSOR_FLOAT32, {1, 1, 2, 4}); // Phase 1, operands - auto op14 = model->addOperand(&type52); + auto op14 = model->addOperand(&type58); auto param36 = model->addOperand(&type2); auto param37 = model->addOperand(&type2); auto param38 = model->addOperand(&type2); @@ -3931,7 +3931,7 @@ void CreateModel_dynamic_output_shape_nchw_relaxed_5(Model *model) { auto param40 = model->addOperand(&type2); auto param41 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op44 = model->addOperand(&type24); + auto op44 = model->addOperand(&type25); // Phase 2, operations static int32_t param36_init[] = {1}; model->setOperandValue(param36, param36_init, sizeof(int32_t) * 1); @@ -3965,10 +3965,10 @@ inline bool is_ignored_dynamic_output_shape_nchw_relaxed_5(int i) { void CreateModel_dynamic_output_shape_nchw_float16_5(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type25(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); - OperandType type54(Type::TENSOR_FLOAT16, {1, 1, 2, 4}); + OperandType type26(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); + OperandType type60(Type::TENSOR_FLOAT16, {1, 1, 2, 4}); // Phase 1, operands - auto op14 = model->addOperand(&type54); + auto op14 = model->addOperand(&type60); auto param36 = model->addOperand(&type2); auto param37 = model->addOperand(&type2); auto param38 = model->addOperand(&type2); @@ -3976,7 +3976,7 @@ void CreateModel_dynamic_output_shape_nchw_float16_5(Model *model) { auto param40 = model->addOperand(&type2); auto param41 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op44 = model->addOperand(&type25); + auto op44 = model->addOperand(&type26); // Phase 2, operations static int32_t param36_init[] = {1}; model->setOperandValue(param36, param36_init, sizeof(int32_t) * 1); @@ -4008,10 +4008,10 @@ inline bool is_ignored_dynamic_output_shape_nchw_float16_5(int i) { void CreateModel_dynamic_output_shape_nchw_quant8_5(Model *model) { OperandType type0(Type::BOOL, {}); OperandType type2(Type::INT32, {}); - OperandType type47(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.25f, 0); - OperandType type56(Type::TENSOR_QUANT8_ASYMM, {1, 1, 2, 4}, 0.25f, 0); + OperandType type48(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.25f, 0); + OperandType type62(Type::TENSOR_QUANT8_ASYMM, {1, 1, 2, 4}, 0.25f, 0); // Phase 1, operands - auto op14 = model->addOperand(&type56); + auto op14 = model->addOperand(&type62); auto param36 = model->addOperand(&type2); auto param37 = model->addOperand(&type2); auto param38 = model->addOperand(&type2); @@ -4019,7 +4019,7 @@ void CreateModel_dynamic_output_shape_nchw_quant8_5(Model *model) { auto param40 = model->addOperand(&type2); auto param41 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto op44 = model->addOperand(&type47); + auto op44 = model->addOperand(&type48); // Phase 2, operations static int32_t param36_init[] = {1}; model->setOperandValue(param36, param36_init, sizeof(int32_t) * 1); @@ -4050,40 +4050,40 @@ inline bool is_ignored_dynamic_output_shape_nchw_quant8_5(int i) { void CreateModel_zero_sized_nhwc(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type10(Type::TENSOR_FLOAT32, {1, 8}); - OperandType type11(Type::TENSOR_FLOAT32, {0}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type13(Type::TENSOR_FLOAT32, {0, 4}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); - OperandType type16(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); - OperandType type17(Type::TENSOR_FLOAT32, {0, 2, 2, 1}); - OperandType type18(Type::TENSOR_FLOAT32, {0, 1, 1, 1}); + OperandType type10(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type11(Type::TENSOR_FLOAT32, {1, 8}); + OperandType type12(Type::TENSOR_FLOAT32, {0}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type14(Type::TENSOR_FLOAT32, {0, 4}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); + OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); + OperandType type18(Type::TENSOR_FLOAT32, {0, 2, 2, 1}); + OperandType type19(Type::TENSOR_FLOAT32, {0, 1, 1, 1}); OperandType type2(Type::INT32, {}); - OperandType type9(Type::TENSOR_FLOAT32, {1, 2}); // Phase 1, operands - auto scores = model->addOperand(&type9); - auto roi = model->addOperand(&type10); - auto param42 = model->addOperand(&type14); - auto param43 = model->addOperand(&type15); + auto scores = model->addOperand(&type10); + auto roi = model->addOperand(&type11); + auto param42 = model->addOperand(&type15); + auto param43 = model->addOperand(&type16); auto param44 = model->addOperand(&type2); auto param45 = model->addOperand(&type2); - auto param46 = model->addOperand(&type15); - auto param47 = model->addOperand(&type15); - auto param48 = model->addOperand(&type15); - auto scoresOut = model->addOperand(&type11); - auto roiOut = model->addOperand(&type13); - auto classesOut = model->addOperand(&type12); - auto batchSplitOut = model->addOperand(&type12); - auto in = model->addOperand(&type16); + auto param46 = model->addOperand(&type16); + auto param47 = model->addOperand(&type16); + auto param48 = model->addOperand(&type16); + auto scoresOut = model->addOperand(&type12); + auto roiOut = model->addOperand(&type14); + auto classesOut = model->addOperand(&type13); + auto batchSplitOut = model->addOperand(&type13); + auto in = model->addOperand(&type17); auto param49 = model->addOperand(&type2); auto param50 = model->addOperand(&type2); - auto param51 = model->addOperand(&type15); - auto param52 = model->addOperand(&type15); + auto param51 = model->addOperand(&type16); + auto param52 = model->addOperand(&type16); auto param53 = model->addOperand(&type2); auto param54 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap = model->addOperand(&type17); + auto featureMap = model->addOperand(&type18); auto param55 = model->addOperand(&type2); auto param56 = model->addOperand(&type2); auto param57 = model->addOperand(&type2); @@ -4093,7 +4093,7 @@ void CreateModel_zero_sized_nhwc(Model *model) { auto param61 = model->addOperand(&type2); auto param62 = model->addOperand(&type2); auto param63 = model->addOperand(&type2); - auto out = model->addOperand(&type18); + auto out = model->addOperand(&type19); // Phase 2, operations static float scores_init[] = {0.9f, 0.1f}; model->setOperandValue(scores, scores_init, sizeof(float) * 2); @@ -4162,40 +4162,40 @@ inline bool is_ignored_zero_sized_nhwc(int i) { void CreateModel_zero_sized_nhwc_relaxed(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type10(Type::TENSOR_FLOAT32, {1, 8}); - OperandType type11(Type::TENSOR_FLOAT32, {0}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type13(Type::TENSOR_FLOAT32, {0, 4}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); - OperandType type16(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); - OperandType type17(Type::TENSOR_FLOAT32, {0, 2, 2, 1}); - OperandType type18(Type::TENSOR_FLOAT32, {0, 1, 1, 1}); + OperandType type10(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type11(Type::TENSOR_FLOAT32, {1, 8}); + OperandType type12(Type::TENSOR_FLOAT32, {0}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type14(Type::TENSOR_FLOAT32, {0, 4}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); + OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); + OperandType type18(Type::TENSOR_FLOAT32, {0, 2, 2, 1}); + OperandType type19(Type::TENSOR_FLOAT32, {0, 1, 1, 1}); OperandType type2(Type::INT32, {}); - OperandType type9(Type::TENSOR_FLOAT32, {1, 2}); // Phase 1, operands - auto scores = model->addOperand(&type9); - auto roi = model->addOperand(&type10); - auto param42 = model->addOperand(&type14); - auto param43 = model->addOperand(&type15); + auto scores = model->addOperand(&type10); + auto roi = model->addOperand(&type11); + auto param42 = model->addOperand(&type15); + auto param43 = model->addOperand(&type16); auto param44 = model->addOperand(&type2); auto param45 = model->addOperand(&type2); - auto param46 = model->addOperand(&type15); - auto param47 = model->addOperand(&type15); - auto param48 = model->addOperand(&type15); - auto scoresOut = model->addOperand(&type11); - auto roiOut = model->addOperand(&type13); - auto classesOut = model->addOperand(&type12); - auto batchSplitOut = model->addOperand(&type12); - auto in = model->addOperand(&type16); + auto param46 = model->addOperand(&type16); + auto param47 = model->addOperand(&type16); + auto param48 = model->addOperand(&type16); + auto scoresOut = model->addOperand(&type12); + auto roiOut = model->addOperand(&type14); + auto classesOut = model->addOperand(&type13); + auto batchSplitOut = model->addOperand(&type13); + auto in = model->addOperand(&type17); auto param49 = model->addOperand(&type2); auto param50 = model->addOperand(&type2); - auto param51 = model->addOperand(&type15); - auto param52 = model->addOperand(&type15); + auto param51 = model->addOperand(&type16); + auto param52 = model->addOperand(&type16); auto param53 = model->addOperand(&type2); auto param54 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap = model->addOperand(&type17); + auto featureMap = model->addOperand(&type18); auto param55 = model->addOperand(&type2); auto param56 = model->addOperand(&type2); auto param57 = model->addOperand(&type2); @@ -4205,7 +4205,7 @@ void CreateModel_zero_sized_nhwc_relaxed(Model *model) { auto param61 = model->addOperand(&type2); auto param62 = model->addOperand(&type2); auto param63 = model->addOperand(&type2); - auto out = model->addOperand(&type18); + auto out = model->addOperand(&type19); // Phase 2, operations static float scores_init[] = {0.9f, 0.1f}; model->setOperandValue(scores, scores_init, sizeof(float) * 2); @@ -4276,40 +4276,40 @@ inline bool is_ignored_zero_sized_nhwc_relaxed(int i) { void CreateModel_zero_sized_nhwc_quant8(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); OperandType type2(Type::INT32, {}); - OperandType type58(Type::TENSOR_QUANT8_ASYMM, {0, 2, 2, 1}, 0.1f, 128); - OperandType type59(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1}, 0.1f, 128); - OperandType type60(Type::TENSOR_QUANT8_ASYMM, {0, 1, 1, 1}, 0.1f, 128); - OperandType type61(Type::TENSOR_QUANT16_ASYMM, {1, 8}, 0.125f, 0); - OperandType type62(Type::TENSOR_QUANT16_ASYMM, {0, 4}, 0.125f, 0); - OperandType type63(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 0.1f, 128); - OperandType type64(Type::TENSOR_QUANT8_ASYMM, {0}, 0.1f, 128); + OperandType type64(Type::TENSOR_QUANT8_ASYMM, {0, 2, 2, 1}, 0.1f, 128); + OperandType type65(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1}, 0.1f, 128); + OperandType type66(Type::TENSOR_QUANT8_ASYMM, {0, 1, 1, 1}, 0.1f, 128); + OperandType type67(Type::TENSOR_QUANT16_ASYMM, {1, 8}, 0.125f, 0); + OperandType type68(Type::TENSOR_QUANT16_ASYMM, {0, 4}, 0.125f, 0); + OperandType type69(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 0.1f, 128); + OperandType type70(Type::TENSOR_QUANT8_ASYMM, {0}, 0.1f, 128); // Phase 1, operands - auto scores = model->addOperand(&type63); - auto roi = model->addOperand(&type61); - auto param42 = model->addOperand(&type14); - auto param43 = model->addOperand(&type15); + auto scores = model->addOperand(&type69); + auto roi = model->addOperand(&type67); + auto param42 = model->addOperand(&type15); + auto param43 = model->addOperand(&type16); auto param44 = model->addOperand(&type2); auto param45 = model->addOperand(&type2); - auto param46 = model->addOperand(&type15); - auto param47 = model->addOperand(&type15); - auto param48 = model->addOperand(&type15); - auto scoresOut = model->addOperand(&type64); - auto roiOut = model->addOperand(&type62); - auto classesOut = model->addOperand(&type12); - auto batchSplitOut = model->addOperand(&type12); - auto in = model->addOperand(&type59); + auto param46 = model->addOperand(&type16); + auto param47 = model->addOperand(&type16); + auto param48 = model->addOperand(&type16); + auto scoresOut = model->addOperand(&type70); + auto roiOut = model->addOperand(&type68); + auto classesOut = model->addOperand(&type13); + auto batchSplitOut = model->addOperand(&type13); + auto in = model->addOperand(&type65); auto param49 = model->addOperand(&type2); auto param50 = model->addOperand(&type2); - auto param51 = model->addOperand(&type15); - auto param52 = model->addOperand(&type15); + auto param51 = model->addOperand(&type16); + auto param52 = model->addOperand(&type16); auto param53 = model->addOperand(&type2); auto param54 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap = model->addOperand(&type58); + auto featureMap = model->addOperand(&type64); auto param55 = model->addOperand(&type2); auto param56 = model->addOperand(&type2); auto param57 = model->addOperand(&type2); @@ -4319,7 +4319,7 @@ void CreateModel_zero_sized_nhwc_quant8(Model *model) { auto param61 = model->addOperand(&type2); auto param62 = model->addOperand(&type2); auto param63 = model->addOperand(&type2); - auto out = model->addOperand(&type60); + auto out = model->addOperand(&type66); // Phase 2, operations static uint8_t scores_init[] = {137, 129}; model->setOperandValue(scores, scores_init, sizeof(uint8_t) * 2); @@ -4388,40 +4388,40 @@ inline bool is_ignored_zero_sized_nhwc_quant8(int i) { void CreateModel_zero_sized_nhwc_float16(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type14(Type::TENSOR_INT32, {1}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type15(Type::TENSOR_INT32, {1}); OperandType type2(Type::INT32, {}); - OperandType type65(Type::TENSOR_FLOAT16, {0, 2, 2, 1}); - OperandType type66(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); - OperandType type67(Type::TENSOR_FLOAT16, {0, 1, 1, 1}); - OperandType type68(Type::FLOAT16, {}); - OperandType type69(Type::TENSOR_FLOAT16, {1, 8}); - OperandType type70(Type::TENSOR_FLOAT16, {0, 4}); - OperandType type71(Type::TENSOR_FLOAT16, {1, 2}); - OperandType type72(Type::TENSOR_FLOAT16, {0}); + OperandType type71(Type::TENSOR_FLOAT16, {0, 2, 2, 1}); + OperandType type72(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); + OperandType type73(Type::TENSOR_FLOAT16, {0, 1, 1, 1}); + OperandType type74(Type::FLOAT16, {}); + OperandType type75(Type::TENSOR_FLOAT16, {1, 8}); + OperandType type76(Type::TENSOR_FLOAT16, {0, 4}); + OperandType type77(Type::TENSOR_FLOAT16, {1, 2}); + OperandType type78(Type::TENSOR_FLOAT16, {0}); // Phase 1, operands - auto scores = model->addOperand(&type71); - auto roi = model->addOperand(&type69); - auto param42 = model->addOperand(&type14); - auto param43 = model->addOperand(&type68); + auto scores = model->addOperand(&type77); + auto roi = model->addOperand(&type75); + auto param42 = model->addOperand(&type15); + auto param43 = model->addOperand(&type74); auto param44 = model->addOperand(&type2); auto param45 = model->addOperand(&type2); - auto param46 = model->addOperand(&type68); - auto param47 = model->addOperand(&type68); - auto param48 = model->addOperand(&type68); - auto scoresOut = model->addOperand(&type72); - auto roiOut = model->addOperand(&type70); - auto classesOut = model->addOperand(&type12); - auto batchSplitOut = model->addOperand(&type12); - auto in = model->addOperand(&type66); + auto param46 = model->addOperand(&type74); + auto param47 = model->addOperand(&type74); + auto param48 = model->addOperand(&type74); + auto scoresOut = model->addOperand(&type78); + auto roiOut = model->addOperand(&type76); + auto classesOut = model->addOperand(&type13); + auto batchSplitOut = model->addOperand(&type13); + auto in = model->addOperand(&type72); auto param49 = model->addOperand(&type2); auto param50 = model->addOperand(&type2); - auto param51 = model->addOperand(&type68); - auto param52 = model->addOperand(&type68); + auto param51 = model->addOperand(&type74); + auto param52 = model->addOperand(&type74); auto param53 = model->addOperand(&type2); auto param54 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap = model->addOperand(&type65); + auto featureMap = model->addOperand(&type71); auto param55 = model->addOperand(&type2); auto param56 = model->addOperand(&type2); auto param57 = model->addOperand(&type2); @@ -4431,7 +4431,7 @@ void CreateModel_zero_sized_nhwc_float16(Model *model) { auto param61 = model->addOperand(&type2); auto param62 = model->addOperand(&type2); auto param63 = model->addOperand(&type2); - auto out = model->addOperand(&type67); + auto out = model->addOperand(&type73); // Phase 2, operations static _Float16 scores_init[] = {0.8999999761581421f, 0.10000000149011612f}; model->setOperandValue(scores, scores_init, sizeof(_Float16) * 2); @@ -4500,40 +4500,40 @@ inline bool is_ignored_zero_sized_nhwc_float16(int i) { void CreateModel_zero_sized_nchw(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type10(Type::TENSOR_FLOAT32, {1, 8}); - OperandType type11(Type::TENSOR_FLOAT32, {0}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type13(Type::TENSOR_FLOAT32, {0, 4}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); - OperandType type16(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); - OperandType type18(Type::TENSOR_FLOAT32, {0, 1, 1, 1}); + OperandType type10(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type11(Type::TENSOR_FLOAT32, {1, 8}); + OperandType type12(Type::TENSOR_FLOAT32, {0}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type14(Type::TENSOR_FLOAT32, {0, 4}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); + OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); + OperandType type19(Type::TENSOR_FLOAT32, {0, 1, 1, 1}); OperandType type2(Type::INT32, {}); - OperandType type73(Type::TENSOR_FLOAT32, {0, 1, 2, 2}); - OperandType type9(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type79(Type::TENSOR_FLOAT32, {0, 1, 2, 2}); // Phase 1, operands - auto scores = model->addOperand(&type9); - auto roi = model->addOperand(&type10); - auto param42 = model->addOperand(&type14); - auto param43 = model->addOperand(&type15); + auto scores = model->addOperand(&type10); + auto roi = model->addOperand(&type11); + auto param42 = model->addOperand(&type15); + auto param43 = model->addOperand(&type16); auto param44 = model->addOperand(&type2); auto param45 = model->addOperand(&type2); - auto param46 = model->addOperand(&type15); - auto param47 = model->addOperand(&type15); - auto param48 = model->addOperand(&type15); - auto scoresOut = model->addOperand(&type11); - auto roiOut = model->addOperand(&type13); - auto classesOut = model->addOperand(&type12); - auto batchSplitOut = model->addOperand(&type12); - auto in = model->addOperand(&type16); + auto param46 = model->addOperand(&type16); + auto param47 = model->addOperand(&type16); + auto param48 = model->addOperand(&type16); + auto scoresOut = model->addOperand(&type12); + auto roiOut = model->addOperand(&type14); + auto classesOut = model->addOperand(&type13); + auto batchSplitOut = model->addOperand(&type13); + auto in = model->addOperand(&type17); auto param49 = model->addOperand(&type2); auto param50 = model->addOperand(&type2); - auto param51 = model->addOperand(&type15); - auto param52 = model->addOperand(&type15); + auto param51 = model->addOperand(&type16); + auto param52 = model->addOperand(&type16); auto param53 = model->addOperand(&type2); auto param54 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap = model->addOperand(&type73); + auto featureMap = model->addOperand(&type79); auto param55 = model->addOperand(&type2); auto param56 = model->addOperand(&type2); auto param57 = model->addOperand(&type2); @@ -4543,7 +4543,7 @@ void CreateModel_zero_sized_nchw(Model *model) { auto param61 = model->addOperand(&type2); auto param62 = model->addOperand(&type2); auto param63 = model->addOperand(&type2); - auto out = model->addOperand(&type18); + auto out = model->addOperand(&type19); // Phase 2, operations static float scores_init[] = {0.9f, 0.1f}; model->setOperandValue(scores, scores_init, sizeof(float) * 2); @@ -4612,40 +4612,40 @@ inline bool is_ignored_zero_sized_nchw(int i) { void CreateModel_zero_sized_nchw_relaxed(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type10(Type::TENSOR_FLOAT32, {1, 8}); - OperandType type11(Type::TENSOR_FLOAT32, {0}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type13(Type::TENSOR_FLOAT32, {0, 4}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); - OperandType type16(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); - OperandType type18(Type::TENSOR_FLOAT32, {0, 1, 1, 1}); + OperandType type10(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type11(Type::TENSOR_FLOAT32, {1, 8}); + OperandType type12(Type::TENSOR_FLOAT32, {0}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type14(Type::TENSOR_FLOAT32, {0, 4}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); + OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); + OperandType type19(Type::TENSOR_FLOAT32, {0, 1, 1, 1}); OperandType type2(Type::INT32, {}); - OperandType type73(Type::TENSOR_FLOAT32, {0, 1, 2, 2}); - OperandType type9(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type79(Type::TENSOR_FLOAT32, {0, 1, 2, 2}); // Phase 1, operands - auto scores = model->addOperand(&type9); - auto roi = model->addOperand(&type10); - auto param42 = model->addOperand(&type14); - auto param43 = model->addOperand(&type15); + auto scores = model->addOperand(&type10); + auto roi = model->addOperand(&type11); + auto param42 = model->addOperand(&type15); + auto param43 = model->addOperand(&type16); auto param44 = model->addOperand(&type2); auto param45 = model->addOperand(&type2); - auto param46 = model->addOperand(&type15); - auto param47 = model->addOperand(&type15); - auto param48 = model->addOperand(&type15); - auto scoresOut = model->addOperand(&type11); - auto roiOut = model->addOperand(&type13); - auto classesOut = model->addOperand(&type12); - auto batchSplitOut = model->addOperand(&type12); - auto in = model->addOperand(&type16); + auto param46 = model->addOperand(&type16); + auto param47 = model->addOperand(&type16); + auto param48 = model->addOperand(&type16); + auto scoresOut = model->addOperand(&type12); + auto roiOut = model->addOperand(&type14); + auto classesOut = model->addOperand(&type13); + auto batchSplitOut = model->addOperand(&type13); + auto in = model->addOperand(&type17); auto param49 = model->addOperand(&type2); auto param50 = model->addOperand(&type2); - auto param51 = model->addOperand(&type15); - auto param52 = model->addOperand(&type15); + auto param51 = model->addOperand(&type16); + auto param52 = model->addOperand(&type16); auto param53 = model->addOperand(&type2); auto param54 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap = model->addOperand(&type73); + auto featureMap = model->addOperand(&type79); auto param55 = model->addOperand(&type2); auto param56 = model->addOperand(&type2); auto param57 = model->addOperand(&type2); @@ -4655,7 +4655,7 @@ void CreateModel_zero_sized_nchw_relaxed(Model *model) { auto param61 = model->addOperand(&type2); auto param62 = model->addOperand(&type2); auto param63 = model->addOperand(&type2); - auto out = model->addOperand(&type18); + auto out = model->addOperand(&type19); // Phase 2, operations static float scores_init[] = {0.9f, 0.1f}; model->setOperandValue(scores, scores_init, sizeof(float) * 2); @@ -4726,40 +4726,40 @@ inline bool is_ignored_zero_sized_nchw_relaxed(int i) { void CreateModel_zero_sized_nchw_quant8(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); OperandType type2(Type::INT32, {}); - OperandType type59(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1}, 0.1f, 128); - OperandType type60(Type::TENSOR_QUANT8_ASYMM, {0, 1, 1, 1}, 0.1f, 128); - OperandType type61(Type::TENSOR_QUANT16_ASYMM, {1, 8}, 0.125f, 0); - OperandType type62(Type::TENSOR_QUANT16_ASYMM, {0, 4}, 0.125f, 0); - OperandType type63(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 0.1f, 128); - OperandType type64(Type::TENSOR_QUANT8_ASYMM, {0}, 0.1f, 128); - OperandType type74(Type::TENSOR_QUANT8_ASYMM, {0, 1, 2, 2}, 0.1f, 128); + OperandType type65(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1}, 0.1f, 128); + OperandType type66(Type::TENSOR_QUANT8_ASYMM, {0, 1, 1, 1}, 0.1f, 128); + OperandType type67(Type::TENSOR_QUANT16_ASYMM, {1, 8}, 0.125f, 0); + OperandType type68(Type::TENSOR_QUANT16_ASYMM, {0, 4}, 0.125f, 0); + OperandType type69(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 0.1f, 128); + OperandType type70(Type::TENSOR_QUANT8_ASYMM, {0}, 0.1f, 128); + OperandType type80(Type::TENSOR_QUANT8_ASYMM, {0, 1, 2, 2}, 0.1f, 128); // Phase 1, operands - auto scores = model->addOperand(&type63); - auto roi = model->addOperand(&type61); - auto param42 = model->addOperand(&type14); - auto param43 = model->addOperand(&type15); + auto scores = model->addOperand(&type69); + auto roi = model->addOperand(&type67); + auto param42 = model->addOperand(&type15); + auto param43 = model->addOperand(&type16); auto param44 = model->addOperand(&type2); auto param45 = model->addOperand(&type2); - auto param46 = model->addOperand(&type15); - auto param47 = model->addOperand(&type15); - auto param48 = model->addOperand(&type15); - auto scoresOut = model->addOperand(&type64); - auto roiOut = model->addOperand(&type62); - auto classesOut = model->addOperand(&type12); - auto batchSplitOut = model->addOperand(&type12); - auto in = model->addOperand(&type59); + auto param46 = model->addOperand(&type16); + auto param47 = model->addOperand(&type16); + auto param48 = model->addOperand(&type16); + auto scoresOut = model->addOperand(&type70); + auto roiOut = model->addOperand(&type68); + auto classesOut = model->addOperand(&type13); + auto batchSplitOut = model->addOperand(&type13); + auto in = model->addOperand(&type65); auto param49 = model->addOperand(&type2); auto param50 = model->addOperand(&type2); - auto param51 = model->addOperand(&type15); - auto param52 = model->addOperand(&type15); + auto param51 = model->addOperand(&type16); + auto param52 = model->addOperand(&type16); auto param53 = model->addOperand(&type2); auto param54 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap = model->addOperand(&type74); + auto featureMap = model->addOperand(&type80); auto param55 = model->addOperand(&type2); auto param56 = model->addOperand(&type2); auto param57 = model->addOperand(&type2); @@ -4769,7 +4769,7 @@ void CreateModel_zero_sized_nchw_quant8(Model *model) { auto param61 = model->addOperand(&type2); auto param62 = model->addOperand(&type2); auto param63 = model->addOperand(&type2); - auto out = model->addOperand(&type60); + auto out = model->addOperand(&type66); // Phase 2, operations static uint8_t scores_init[] = {137, 129}; model->setOperandValue(scores, scores_init, sizeof(uint8_t) * 2); @@ -4838,40 +4838,40 @@ inline bool is_ignored_zero_sized_nchw_quant8(int i) { void CreateModel_zero_sized_nchw_float16(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type14(Type::TENSOR_INT32, {1}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type15(Type::TENSOR_INT32, {1}); OperandType type2(Type::INT32, {}); - OperandType type66(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); - OperandType type67(Type::TENSOR_FLOAT16, {0, 1, 1, 1}); - OperandType type68(Type::FLOAT16, {}); - OperandType type69(Type::TENSOR_FLOAT16, {1, 8}); - OperandType type70(Type::TENSOR_FLOAT16, {0, 4}); - OperandType type71(Type::TENSOR_FLOAT16, {1, 2}); - OperandType type72(Type::TENSOR_FLOAT16, {0}); - OperandType type75(Type::TENSOR_FLOAT16, {0, 1, 2, 2}); + OperandType type72(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); + OperandType type73(Type::TENSOR_FLOAT16, {0, 1, 1, 1}); + OperandType type74(Type::FLOAT16, {}); + OperandType type75(Type::TENSOR_FLOAT16, {1, 8}); + OperandType type76(Type::TENSOR_FLOAT16, {0, 4}); + OperandType type77(Type::TENSOR_FLOAT16, {1, 2}); + OperandType type78(Type::TENSOR_FLOAT16, {0}); + OperandType type81(Type::TENSOR_FLOAT16, {0, 1, 2, 2}); // Phase 1, operands - auto scores = model->addOperand(&type71); - auto roi = model->addOperand(&type69); - auto param42 = model->addOperand(&type14); - auto param43 = model->addOperand(&type68); + auto scores = model->addOperand(&type77); + auto roi = model->addOperand(&type75); + auto param42 = model->addOperand(&type15); + auto param43 = model->addOperand(&type74); auto param44 = model->addOperand(&type2); auto param45 = model->addOperand(&type2); - auto param46 = model->addOperand(&type68); - auto param47 = model->addOperand(&type68); - auto param48 = model->addOperand(&type68); - auto scoresOut = model->addOperand(&type72); - auto roiOut = model->addOperand(&type70); - auto classesOut = model->addOperand(&type12); - auto batchSplitOut = model->addOperand(&type12); - auto in = model->addOperand(&type66); + auto param46 = model->addOperand(&type74); + auto param47 = model->addOperand(&type74); + auto param48 = model->addOperand(&type74); + auto scoresOut = model->addOperand(&type78); + auto roiOut = model->addOperand(&type76); + auto classesOut = model->addOperand(&type13); + auto batchSplitOut = model->addOperand(&type13); + auto in = model->addOperand(&type72); auto param49 = model->addOperand(&type2); auto param50 = model->addOperand(&type2); - auto param51 = model->addOperand(&type68); - auto param52 = model->addOperand(&type68); + auto param51 = model->addOperand(&type74); + auto param52 = model->addOperand(&type74); auto param53 = model->addOperand(&type2); auto param54 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap = model->addOperand(&type75); + auto featureMap = model->addOperand(&type81); auto param55 = model->addOperand(&type2); auto param56 = model->addOperand(&type2); auto param57 = model->addOperand(&type2); @@ -4881,7 +4881,7 @@ void CreateModel_zero_sized_nchw_float16(Model *model) { auto param61 = model->addOperand(&type2); auto param62 = model->addOperand(&type2); auto param63 = model->addOperand(&type2); - auto out = model->addOperand(&type67); + auto out = model->addOperand(&type73); // Phase 2, operations static _Float16 scores_init[] = {0.8999999761581421f, 0.10000000149011612f}; model->setOperandValue(scores, scores_init, sizeof(_Float16) * 2); @@ -4950,40 +4950,40 @@ inline bool is_ignored_zero_sized_nchw_float16(int i) { void CreateModel_zero_sized_dynamic_output_shape_nhwc(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type10(Type::TENSOR_FLOAT32, {1, 8}); - OperandType type11(Type::TENSOR_FLOAT32, {0}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type13(Type::TENSOR_FLOAT32, {0, 4}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); - OperandType type16(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); - OperandType type17(Type::TENSOR_FLOAT32, {0, 2, 2, 1}); + OperandType type10(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type11(Type::TENSOR_FLOAT32, {1, 8}); + OperandType type12(Type::TENSOR_FLOAT32, {0}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type14(Type::TENSOR_FLOAT32, {0, 4}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); + OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); + OperandType type18(Type::TENSOR_FLOAT32, {0, 2, 2, 1}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type9(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); // Phase 1, operands - auto scores = model->addOperand(&type9); - auto roi = model->addOperand(&type10); - auto param42 = model->addOperand(&type14); - auto param43 = model->addOperand(&type15); + auto scores = model->addOperand(&type10); + auto roi = model->addOperand(&type11); + auto param42 = model->addOperand(&type15); + auto param43 = model->addOperand(&type16); auto param44 = model->addOperand(&type2); auto param45 = model->addOperand(&type2); - auto param46 = model->addOperand(&type15); - auto param47 = model->addOperand(&type15); - auto param48 = model->addOperand(&type15); - auto scoresOut = model->addOperand(&type11); - auto roiOut = model->addOperand(&type13); - auto classesOut = model->addOperand(&type12); - auto batchSplitOut = model->addOperand(&type12); - auto in = model->addOperand(&type16); + auto param46 = model->addOperand(&type16); + auto param47 = model->addOperand(&type16); + auto param48 = model->addOperand(&type16); + auto scoresOut = model->addOperand(&type12); + auto roiOut = model->addOperand(&type14); + auto classesOut = model->addOperand(&type13); + auto batchSplitOut = model->addOperand(&type13); + auto in = model->addOperand(&type17); auto param49 = model->addOperand(&type2); auto param50 = model->addOperand(&type2); - auto param51 = model->addOperand(&type15); - auto param52 = model->addOperand(&type15); + auto param51 = model->addOperand(&type16); + auto param52 = model->addOperand(&type16); auto param53 = model->addOperand(&type2); auto param54 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap = model->addOperand(&type17); + auto featureMap = model->addOperand(&type18); auto param55 = model->addOperand(&type2); auto param56 = model->addOperand(&type2); auto param57 = model->addOperand(&type2); @@ -4993,7 +4993,7 @@ void CreateModel_zero_sized_dynamic_output_shape_nhwc(Model *model) { auto param61 = model->addOperand(&type2); auto param62 = model->addOperand(&type2); auto param63 = model->addOperand(&type2); - auto out = model->addOperand(&type24); + auto out = model->addOperand(&type25); // Phase 2, operations static float scores_init[] = {0.9f, 0.1f}; model->setOperandValue(scores, scores_init, sizeof(float) * 2); @@ -5062,40 +5062,40 @@ inline bool is_ignored_zero_sized_dynamic_output_shape_nhwc(int i) { void CreateModel_zero_sized_dynamic_output_shape_nhwc_relaxed(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type10(Type::TENSOR_FLOAT32, {1, 8}); - OperandType type11(Type::TENSOR_FLOAT32, {0}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type13(Type::TENSOR_FLOAT32, {0, 4}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); - OperandType type16(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); - OperandType type17(Type::TENSOR_FLOAT32, {0, 2, 2, 1}); + OperandType type10(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type11(Type::TENSOR_FLOAT32, {1, 8}); + OperandType type12(Type::TENSOR_FLOAT32, {0}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type14(Type::TENSOR_FLOAT32, {0, 4}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); + OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); + OperandType type18(Type::TENSOR_FLOAT32, {0, 2, 2, 1}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type9(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); // Phase 1, operands - auto scores = model->addOperand(&type9); - auto roi = model->addOperand(&type10); - auto param42 = model->addOperand(&type14); - auto param43 = model->addOperand(&type15); + auto scores = model->addOperand(&type10); + auto roi = model->addOperand(&type11); + auto param42 = model->addOperand(&type15); + auto param43 = model->addOperand(&type16); auto param44 = model->addOperand(&type2); auto param45 = model->addOperand(&type2); - auto param46 = model->addOperand(&type15); - auto param47 = model->addOperand(&type15); - auto param48 = model->addOperand(&type15); - auto scoresOut = model->addOperand(&type11); - auto roiOut = model->addOperand(&type13); - auto classesOut = model->addOperand(&type12); - auto batchSplitOut = model->addOperand(&type12); - auto in = model->addOperand(&type16); + auto param46 = model->addOperand(&type16); + auto param47 = model->addOperand(&type16); + auto param48 = model->addOperand(&type16); + auto scoresOut = model->addOperand(&type12); + auto roiOut = model->addOperand(&type14); + auto classesOut = model->addOperand(&type13); + auto batchSplitOut = model->addOperand(&type13); + auto in = model->addOperand(&type17); auto param49 = model->addOperand(&type2); auto param50 = model->addOperand(&type2); - auto param51 = model->addOperand(&type15); - auto param52 = model->addOperand(&type15); + auto param51 = model->addOperand(&type16); + auto param52 = model->addOperand(&type16); auto param53 = model->addOperand(&type2); auto param54 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap = model->addOperand(&type17); + auto featureMap = model->addOperand(&type18); auto param55 = model->addOperand(&type2); auto param56 = model->addOperand(&type2); auto param57 = model->addOperand(&type2); @@ -5105,7 +5105,7 @@ void CreateModel_zero_sized_dynamic_output_shape_nhwc_relaxed(Model *model) { auto param61 = model->addOperand(&type2); auto param62 = model->addOperand(&type2); auto param63 = model->addOperand(&type2); - auto out = model->addOperand(&type24); + auto out = model->addOperand(&type25); // Phase 2, operations static float scores_init[] = {0.9f, 0.1f}; model->setOperandValue(scores, scores_init, sizeof(float) * 2); @@ -5176,40 +5176,40 @@ inline bool is_ignored_zero_sized_dynamic_output_shape_nhwc_relaxed(int i) { void CreateModel_zero_sized_dynamic_output_shape_nhwc_quant8(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); OperandType type2(Type::INT32, {}); - OperandType type58(Type::TENSOR_QUANT8_ASYMM, {0, 2, 2, 1}, 0.1f, 128); - OperandType type59(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1}, 0.1f, 128); - OperandType type61(Type::TENSOR_QUANT16_ASYMM, {1, 8}, 0.125f, 0); - OperandType type62(Type::TENSOR_QUANT16_ASYMM, {0, 4}, 0.125f, 0); - OperandType type63(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 0.1f, 128); - OperandType type64(Type::TENSOR_QUANT8_ASYMM, {0}, 0.1f, 128); - OperandType type76(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.1f, 128); + OperandType type64(Type::TENSOR_QUANT8_ASYMM, {0, 2, 2, 1}, 0.1f, 128); + OperandType type65(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1}, 0.1f, 128); + OperandType type67(Type::TENSOR_QUANT16_ASYMM, {1, 8}, 0.125f, 0); + OperandType type68(Type::TENSOR_QUANT16_ASYMM, {0, 4}, 0.125f, 0); + OperandType type69(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 0.1f, 128); + OperandType type70(Type::TENSOR_QUANT8_ASYMM, {0}, 0.1f, 128); + OperandType type82(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.1f, 128); // Phase 1, operands - auto scores = model->addOperand(&type63); - auto roi = model->addOperand(&type61); - auto param42 = model->addOperand(&type14); - auto param43 = model->addOperand(&type15); + auto scores = model->addOperand(&type69); + auto roi = model->addOperand(&type67); + auto param42 = model->addOperand(&type15); + auto param43 = model->addOperand(&type16); auto param44 = model->addOperand(&type2); auto param45 = model->addOperand(&type2); - auto param46 = model->addOperand(&type15); - auto param47 = model->addOperand(&type15); - auto param48 = model->addOperand(&type15); - auto scoresOut = model->addOperand(&type64); - auto roiOut = model->addOperand(&type62); - auto classesOut = model->addOperand(&type12); - auto batchSplitOut = model->addOperand(&type12); - auto in = model->addOperand(&type59); + auto param46 = model->addOperand(&type16); + auto param47 = model->addOperand(&type16); + auto param48 = model->addOperand(&type16); + auto scoresOut = model->addOperand(&type70); + auto roiOut = model->addOperand(&type68); + auto classesOut = model->addOperand(&type13); + auto batchSplitOut = model->addOperand(&type13); + auto in = model->addOperand(&type65); auto param49 = model->addOperand(&type2); auto param50 = model->addOperand(&type2); - auto param51 = model->addOperand(&type15); - auto param52 = model->addOperand(&type15); + auto param51 = model->addOperand(&type16); + auto param52 = model->addOperand(&type16); auto param53 = model->addOperand(&type2); auto param54 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap = model->addOperand(&type58); + auto featureMap = model->addOperand(&type64); auto param55 = model->addOperand(&type2); auto param56 = model->addOperand(&type2); auto param57 = model->addOperand(&type2); @@ -5219,7 +5219,7 @@ void CreateModel_zero_sized_dynamic_output_shape_nhwc_quant8(Model *model) { auto param61 = model->addOperand(&type2); auto param62 = model->addOperand(&type2); auto param63 = model->addOperand(&type2); - auto out = model->addOperand(&type76); + auto out = model->addOperand(&type82); // Phase 2, operations static uint8_t scores_init[] = {137, 129}; model->setOperandValue(scores, scores_init, sizeof(uint8_t) * 2); @@ -5288,40 +5288,40 @@ inline bool is_ignored_zero_sized_dynamic_output_shape_nhwc_quant8(int i) { void CreateModel_zero_sized_dynamic_output_shape_nhwc_float16(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type14(Type::TENSOR_INT32, {1}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type15(Type::TENSOR_INT32, {1}); OperandType type2(Type::INT32, {}); - OperandType type25(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); - OperandType type65(Type::TENSOR_FLOAT16, {0, 2, 2, 1}); - OperandType type66(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); - OperandType type68(Type::FLOAT16, {}); - OperandType type69(Type::TENSOR_FLOAT16, {1, 8}); - OperandType type70(Type::TENSOR_FLOAT16, {0, 4}); - OperandType type71(Type::TENSOR_FLOAT16, {1, 2}); - OperandType type77(Type::TENSOR_FLOAT16, {0}); + OperandType type26(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); + OperandType type71(Type::TENSOR_FLOAT16, {0, 2, 2, 1}); + OperandType type72(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); + OperandType type74(Type::FLOAT16, {}); + OperandType type75(Type::TENSOR_FLOAT16, {1, 8}); + OperandType type76(Type::TENSOR_FLOAT16, {0, 4}); + OperandType type77(Type::TENSOR_FLOAT16, {1, 2}); + OperandType type83(Type::TENSOR_FLOAT16, {0}); // Phase 1, operands - auto scores = model->addOperand(&type71); - auto roi = model->addOperand(&type69); - auto param42 = model->addOperand(&type14); - auto param43 = model->addOperand(&type68); + auto scores = model->addOperand(&type77); + auto roi = model->addOperand(&type75); + auto param42 = model->addOperand(&type15); + auto param43 = model->addOperand(&type74); auto param44 = model->addOperand(&type2); auto param45 = model->addOperand(&type2); - auto param46 = model->addOperand(&type68); - auto param47 = model->addOperand(&type68); - auto param48 = model->addOperand(&type68); - auto scoresOut = model->addOperand(&type77); - auto roiOut = model->addOperand(&type70); - auto classesOut = model->addOperand(&type12); - auto batchSplitOut = model->addOperand(&type12); - auto in = model->addOperand(&type66); + auto param46 = model->addOperand(&type74); + auto param47 = model->addOperand(&type74); + auto param48 = model->addOperand(&type74); + auto scoresOut = model->addOperand(&type83); + auto roiOut = model->addOperand(&type76); + auto classesOut = model->addOperand(&type13); + auto batchSplitOut = model->addOperand(&type13); + auto in = model->addOperand(&type72); auto param49 = model->addOperand(&type2); auto param50 = model->addOperand(&type2); - auto param51 = model->addOperand(&type68); - auto param52 = model->addOperand(&type68); + auto param51 = model->addOperand(&type74); + auto param52 = model->addOperand(&type74); auto param53 = model->addOperand(&type2); auto param54 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap = model->addOperand(&type65); + auto featureMap = model->addOperand(&type71); auto param55 = model->addOperand(&type2); auto param56 = model->addOperand(&type2); auto param57 = model->addOperand(&type2); @@ -5331,7 +5331,7 @@ void CreateModel_zero_sized_dynamic_output_shape_nhwc_float16(Model *model) { auto param61 = model->addOperand(&type2); auto param62 = model->addOperand(&type2); auto param63 = model->addOperand(&type2); - auto out = model->addOperand(&type25); + auto out = model->addOperand(&type26); // Phase 2, operations static _Float16 scores_init[] = {0.8999999761581421f, 0.10000000149011612f}; model->setOperandValue(scores, scores_init, sizeof(_Float16) * 2); @@ -5400,40 +5400,40 @@ inline bool is_ignored_zero_sized_dynamic_output_shape_nhwc_float16(int i) { void CreateModel_zero_sized_dynamic_output_shape_nchw(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type10(Type::TENSOR_FLOAT32, {1, 8}); - OperandType type11(Type::TENSOR_FLOAT32, {0}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type13(Type::TENSOR_FLOAT32, {0, 4}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); - OperandType type16(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); + OperandType type10(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type11(Type::TENSOR_FLOAT32, {1, 8}); + OperandType type12(Type::TENSOR_FLOAT32, {0}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type14(Type::TENSOR_FLOAT32, {0, 4}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); + OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type73(Type::TENSOR_FLOAT32, {0, 1, 2, 2}); - OperandType type9(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type79(Type::TENSOR_FLOAT32, {0, 1, 2, 2}); // Phase 1, operands - auto scores = model->addOperand(&type9); - auto roi = model->addOperand(&type10); - auto param42 = model->addOperand(&type14); - auto param43 = model->addOperand(&type15); + auto scores = model->addOperand(&type10); + auto roi = model->addOperand(&type11); + auto param42 = model->addOperand(&type15); + auto param43 = model->addOperand(&type16); auto param44 = model->addOperand(&type2); auto param45 = model->addOperand(&type2); - auto param46 = model->addOperand(&type15); - auto param47 = model->addOperand(&type15); - auto param48 = model->addOperand(&type15); - auto scoresOut = model->addOperand(&type11); - auto roiOut = model->addOperand(&type13); - auto classesOut = model->addOperand(&type12); - auto batchSplitOut = model->addOperand(&type12); - auto in = model->addOperand(&type16); + auto param46 = model->addOperand(&type16); + auto param47 = model->addOperand(&type16); + auto param48 = model->addOperand(&type16); + auto scoresOut = model->addOperand(&type12); + auto roiOut = model->addOperand(&type14); + auto classesOut = model->addOperand(&type13); + auto batchSplitOut = model->addOperand(&type13); + auto in = model->addOperand(&type17); auto param49 = model->addOperand(&type2); auto param50 = model->addOperand(&type2); - auto param51 = model->addOperand(&type15); - auto param52 = model->addOperand(&type15); + auto param51 = model->addOperand(&type16); + auto param52 = model->addOperand(&type16); auto param53 = model->addOperand(&type2); auto param54 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap = model->addOperand(&type73); + auto featureMap = model->addOperand(&type79); auto param55 = model->addOperand(&type2); auto param56 = model->addOperand(&type2); auto param57 = model->addOperand(&type2); @@ -5443,7 +5443,7 @@ void CreateModel_zero_sized_dynamic_output_shape_nchw(Model *model) { auto param61 = model->addOperand(&type2); auto param62 = model->addOperand(&type2); auto param63 = model->addOperand(&type2); - auto out = model->addOperand(&type24); + auto out = model->addOperand(&type25); // Phase 2, operations static float scores_init[] = {0.9f, 0.1f}; model->setOperandValue(scores, scores_init, sizeof(float) * 2); @@ -5512,40 +5512,40 @@ inline bool is_ignored_zero_sized_dynamic_output_shape_nchw(int i) { void CreateModel_zero_sized_dynamic_output_shape_nchw_relaxed(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type10(Type::TENSOR_FLOAT32, {1, 8}); - OperandType type11(Type::TENSOR_FLOAT32, {0}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type13(Type::TENSOR_FLOAT32, {0, 4}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); - OperandType type16(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); + OperandType type10(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type11(Type::TENSOR_FLOAT32, {1, 8}); + OperandType type12(Type::TENSOR_FLOAT32, {0}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type14(Type::TENSOR_FLOAT32, {0, 4}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); + OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type73(Type::TENSOR_FLOAT32, {0, 1, 2, 2}); - OperandType type9(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type79(Type::TENSOR_FLOAT32, {0, 1, 2, 2}); // Phase 1, operands - auto scores = model->addOperand(&type9); - auto roi = model->addOperand(&type10); - auto param42 = model->addOperand(&type14); - auto param43 = model->addOperand(&type15); + auto scores = model->addOperand(&type10); + auto roi = model->addOperand(&type11); + auto param42 = model->addOperand(&type15); + auto param43 = model->addOperand(&type16); auto param44 = model->addOperand(&type2); auto param45 = model->addOperand(&type2); - auto param46 = model->addOperand(&type15); - auto param47 = model->addOperand(&type15); - auto param48 = model->addOperand(&type15); - auto scoresOut = model->addOperand(&type11); - auto roiOut = model->addOperand(&type13); - auto classesOut = model->addOperand(&type12); - auto batchSplitOut = model->addOperand(&type12); - auto in = model->addOperand(&type16); + auto param46 = model->addOperand(&type16); + auto param47 = model->addOperand(&type16); + auto param48 = model->addOperand(&type16); + auto scoresOut = model->addOperand(&type12); + auto roiOut = model->addOperand(&type14); + auto classesOut = model->addOperand(&type13); + auto batchSplitOut = model->addOperand(&type13); + auto in = model->addOperand(&type17); auto param49 = model->addOperand(&type2); auto param50 = model->addOperand(&type2); - auto param51 = model->addOperand(&type15); - auto param52 = model->addOperand(&type15); + auto param51 = model->addOperand(&type16); + auto param52 = model->addOperand(&type16); auto param53 = model->addOperand(&type2); auto param54 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap = model->addOperand(&type73); + auto featureMap = model->addOperand(&type79); auto param55 = model->addOperand(&type2); auto param56 = model->addOperand(&type2); auto param57 = model->addOperand(&type2); @@ -5555,7 +5555,7 @@ void CreateModel_zero_sized_dynamic_output_shape_nchw_relaxed(Model *model) { auto param61 = model->addOperand(&type2); auto param62 = model->addOperand(&type2); auto param63 = model->addOperand(&type2); - auto out = model->addOperand(&type24); + auto out = model->addOperand(&type25); // Phase 2, operations static float scores_init[] = {0.9f, 0.1f}; model->setOperandValue(scores, scores_init, sizeof(float) * 2); @@ -5626,40 +5626,40 @@ inline bool is_ignored_zero_sized_dynamic_output_shape_nchw_relaxed(int i) { void CreateModel_zero_sized_dynamic_output_shape_nchw_quant8(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); OperandType type2(Type::INT32, {}); - OperandType type59(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1}, 0.1f, 128); - OperandType type61(Type::TENSOR_QUANT16_ASYMM, {1, 8}, 0.125f, 0); - OperandType type62(Type::TENSOR_QUANT16_ASYMM, {0, 4}, 0.125f, 0); - OperandType type63(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 0.1f, 128); - OperandType type64(Type::TENSOR_QUANT8_ASYMM, {0}, 0.1f, 128); - OperandType type74(Type::TENSOR_QUANT8_ASYMM, {0, 1, 2, 2}, 0.1f, 128); - OperandType type76(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.1f, 128); + OperandType type65(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1}, 0.1f, 128); + OperandType type67(Type::TENSOR_QUANT16_ASYMM, {1, 8}, 0.125f, 0); + OperandType type68(Type::TENSOR_QUANT16_ASYMM, {0, 4}, 0.125f, 0); + OperandType type69(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 0.1f, 128); + OperandType type70(Type::TENSOR_QUANT8_ASYMM, {0}, 0.1f, 128); + OperandType type80(Type::TENSOR_QUANT8_ASYMM, {0, 1, 2, 2}, 0.1f, 128); + OperandType type82(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.1f, 128); // Phase 1, operands - auto scores = model->addOperand(&type63); - auto roi = model->addOperand(&type61); - auto param42 = model->addOperand(&type14); - auto param43 = model->addOperand(&type15); + auto scores = model->addOperand(&type69); + auto roi = model->addOperand(&type67); + auto param42 = model->addOperand(&type15); + auto param43 = model->addOperand(&type16); auto param44 = model->addOperand(&type2); auto param45 = model->addOperand(&type2); - auto param46 = model->addOperand(&type15); - auto param47 = model->addOperand(&type15); - auto param48 = model->addOperand(&type15); - auto scoresOut = model->addOperand(&type64); - auto roiOut = model->addOperand(&type62); - auto classesOut = model->addOperand(&type12); - auto batchSplitOut = model->addOperand(&type12); - auto in = model->addOperand(&type59); + auto param46 = model->addOperand(&type16); + auto param47 = model->addOperand(&type16); + auto param48 = model->addOperand(&type16); + auto scoresOut = model->addOperand(&type70); + auto roiOut = model->addOperand(&type68); + auto classesOut = model->addOperand(&type13); + auto batchSplitOut = model->addOperand(&type13); + auto in = model->addOperand(&type65); auto param49 = model->addOperand(&type2); auto param50 = model->addOperand(&type2); - auto param51 = model->addOperand(&type15); - auto param52 = model->addOperand(&type15); + auto param51 = model->addOperand(&type16); + auto param52 = model->addOperand(&type16); auto param53 = model->addOperand(&type2); auto param54 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap = model->addOperand(&type74); + auto featureMap = model->addOperand(&type80); auto param55 = model->addOperand(&type2); auto param56 = model->addOperand(&type2); auto param57 = model->addOperand(&type2); @@ -5669,7 +5669,7 @@ void CreateModel_zero_sized_dynamic_output_shape_nchw_quant8(Model *model) { auto param61 = model->addOperand(&type2); auto param62 = model->addOperand(&type2); auto param63 = model->addOperand(&type2); - auto out = model->addOperand(&type76); + auto out = model->addOperand(&type82); // Phase 2, operations static uint8_t scores_init[] = {137, 129}; model->setOperandValue(scores, scores_init, sizeof(uint8_t) * 2); @@ -5738,40 +5738,40 @@ inline bool is_ignored_zero_sized_dynamic_output_shape_nchw_quant8(int i) { void CreateModel_zero_sized_dynamic_output_shape_nchw_float16(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type14(Type::TENSOR_INT32, {1}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type15(Type::TENSOR_INT32, {1}); OperandType type2(Type::INT32, {}); - OperandType type25(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); - OperandType type66(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); - OperandType type68(Type::FLOAT16, {}); - OperandType type69(Type::TENSOR_FLOAT16, {1, 8}); - OperandType type70(Type::TENSOR_FLOAT16, {0, 4}); - OperandType type71(Type::TENSOR_FLOAT16, {1, 2}); - OperandType type75(Type::TENSOR_FLOAT16, {0, 1, 2, 2}); - OperandType type77(Type::TENSOR_FLOAT16, {0}); + OperandType type26(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); + OperandType type72(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); + OperandType type74(Type::FLOAT16, {}); + OperandType type75(Type::TENSOR_FLOAT16, {1, 8}); + OperandType type76(Type::TENSOR_FLOAT16, {0, 4}); + OperandType type77(Type::TENSOR_FLOAT16, {1, 2}); + OperandType type81(Type::TENSOR_FLOAT16, {0, 1, 2, 2}); + OperandType type83(Type::TENSOR_FLOAT16, {0}); // Phase 1, operands - auto scores = model->addOperand(&type71); - auto roi = model->addOperand(&type69); - auto param42 = model->addOperand(&type14); - auto param43 = model->addOperand(&type68); + auto scores = model->addOperand(&type77); + auto roi = model->addOperand(&type75); + auto param42 = model->addOperand(&type15); + auto param43 = model->addOperand(&type74); auto param44 = model->addOperand(&type2); auto param45 = model->addOperand(&type2); - auto param46 = model->addOperand(&type68); - auto param47 = model->addOperand(&type68); - auto param48 = model->addOperand(&type68); - auto scoresOut = model->addOperand(&type77); - auto roiOut = model->addOperand(&type70); - auto classesOut = model->addOperand(&type12); - auto batchSplitOut = model->addOperand(&type12); - auto in = model->addOperand(&type66); + auto param46 = model->addOperand(&type74); + auto param47 = model->addOperand(&type74); + auto param48 = model->addOperand(&type74); + auto scoresOut = model->addOperand(&type83); + auto roiOut = model->addOperand(&type76); + auto classesOut = model->addOperand(&type13); + auto batchSplitOut = model->addOperand(&type13); + auto in = model->addOperand(&type72); auto param49 = model->addOperand(&type2); auto param50 = model->addOperand(&type2); - auto param51 = model->addOperand(&type68); - auto param52 = model->addOperand(&type68); + auto param51 = model->addOperand(&type74); + auto param52 = model->addOperand(&type74); auto param53 = model->addOperand(&type2); auto param54 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap = model->addOperand(&type75); + auto featureMap = model->addOperand(&type81); auto param55 = model->addOperand(&type2); auto param56 = model->addOperand(&type2); auto param57 = model->addOperand(&type2); @@ -5781,7 +5781,7 @@ void CreateModel_zero_sized_dynamic_output_shape_nchw_float16(Model *model) { auto param61 = model->addOperand(&type2); auto param62 = model->addOperand(&type2); auto param63 = model->addOperand(&type2); - auto out = model->addOperand(&type25); + auto out = model->addOperand(&type26); // Phase 2, operations static _Float16 scores_init[] = {0.8999999761581421f, 0.10000000149011612f}; model->setOperandValue(scores, scores_init, sizeof(_Float16) * 2); @@ -5850,46 +5850,46 @@ inline bool is_ignored_zero_sized_dynamic_output_shape_nchw_float16(int i) { void CreateModel_zero_sized_nhwc_2(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type10(Type::TENSOR_FLOAT32, {1, 8}); - OperandType type11(Type::TENSOR_FLOAT32, {0}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type13(Type::TENSOR_FLOAT32, {0, 4}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); - OperandType type16(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); - OperandType type17(Type::TENSOR_FLOAT32, {0, 2, 2, 1}); + OperandType type10(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type11(Type::TENSOR_FLOAT32, {1, 8}); + OperandType type12(Type::TENSOR_FLOAT32, {0}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type14(Type::TENSOR_FLOAT32, {0, 4}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); + OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); + OperandType type18(Type::TENSOR_FLOAT32, {0, 2, 2, 1}); OperandType type2(Type::INT32, {}); - OperandType type9(Type::TENSOR_FLOAT32, {1, 2}); // Phase 1, operands - auto scores1 = model->addOperand(&type9); - auto roi1 = model->addOperand(&type10); - auto param64 = model->addOperand(&type14); - auto param65 = model->addOperand(&type15); + auto scores1 = model->addOperand(&type10); + auto roi1 = model->addOperand(&type11); + auto param64 = model->addOperand(&type15); + auto param65 = model->addOperand(&type16); auto param66 = model->addOperand(&type2); auto param67 = model->addOperand(&type2); - auto param68 = model->addOperand(&type15); - auto param69 = model->addOperand(&type15); - auto param70 = model->addOperand(&type15); - auto scoresOut1 = model->addOperand(&type11); - auto roiOut1 = model->addOperand(&type13); - auto classesOut1 = model->addOperand(&type12); - auto batchSplitOut1 = model->addOperand(&type12); - auto in1 = model->addOperand(&type16); + auto param68 = model->addOperand(&type16); + auto param69 = model->addOperand(&type16); + auto param70 = model->addOperand(&type16); + auto scoresOut1 = model->addOperand(&type12); + auto roiOut1 = model->addOperand(&type14); + auto classesOut1 = model->addOperand(&type13); + auto batchSplitOut1 = model->addOperand(&type13); + auto in1 = model->addOperand(&type17); auto param71 = model->addOperand(&type2); auto param72 = model->addOperand(&type2); - auto param73 = model->addOperand(&type15); - auto param74 = model->addOperand(&type15); + auto param73 = model->addOperand(&type16); + auto param74 = model->addOperand(&type16); auto param75 = model->addOperand(&type2); auto param76 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap1 = model->addOperand(&type17); + auto featureMap1 = model->addOperand(&type18); auto param77 = model->addOperand(&type2); auto param78 = model->addOperand(&type2); auto param79 = model->addOperand(&type2); auto param80 = model->addOperand(&type2); auto param81 = model->addOperand(&type2); auto param82 = model->addOperand(&type2); - auto out1 = model->addOperand(&type17); + auto out1 = model->addOperand(&type18); // Phase 2, operations static float scores1_init[] = {0.9f, 0.1f}; model->setOperandValue(scores1, scores1_init, sizeof(float) * 2); @@ -5952,46 +5952,46 @@ inline bool is_ignored_zero_sized_nhwc_2(int i) { void CreateModel_zero_sized_nhwc_relaxed_2(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type10(Type::TENSOR_FLOAT32, {1, 8}); - OperandType type11(Type::TENSOR_FLOAT32, {0}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type13(Type::TENSOR_FLOAT32, {0, 4}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); - OperandType type16(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); - OperandType type17(Type::TENSOR_FLOAT32, {0, 2, 2, 1}); + OperandType type10(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type11(Type::TENSOR_FLOAT32, {1, 8}); + OperandType type12(Type::TENSOR_FLOAT32, {0}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type14(Type::TENSOR_FLOAT32, {0, 4}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); + OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); + OperandType type18(Type::TENSOR_FLOAT32, {0, 2, 2, 1}); OperandType type2(Type::INT32, {}); - OperandType type9(Type::TENSOR_FLOAT32, {1, 2}); // Phase 1, operands - auto scores1 = model->addOperand(&type9); - auto roi1 = model->addOperand(&type10); - auto param64 = model->addOperand(&type14); - auto param65 = model->addOperand(&type15); + auto scores1 = model->addOperand(&type10); + auto roi1 = model->addOperand(&type11); + auto param64 = model->addOperand(&type15); + auto param65 = model->addOperand(&type16); auto param66 = model->addOperand(&type2); auto param67 = model->addOperand(&type2); - auto param68 = model->addOperand(&type15); - auto param69 = model->addOperand(&type15); - auto param70 = model->addOperand(&type15); - auto scoresOut1 = model->addOperand(&type11); - auto roiOut1 = model->addOperand(&type13); - auto classesOut1 = model->addOperand(&type12); - auto batchSplitOut1 = model->addOperand(&type12); - auto in1 = model->addOperand(&type16); + auto param68 = model->addOperand(&type16); + auto param69 = model->addOperand(&type16); + auto param70 = model->addOperand(&type16); + auto scoresOut1 = model->addOperand(&type12); + auto roiOut1 = model->addOperand(&type14); + auto classesOut1 = model->addOperand(&type13); + auto batchSplitOut1 = model->addOperand(&type13); + auto in1 = model->addOperand(&type17); auto param71 = model->addOperand(&type2); auto param72 = model->addOperand(&type2); - auto param73 = model->addOperand(&type15); - auto param74 = model->addOperand(&type15); + auto param73 = model->addOperand(&type16); + auto param74 = model->addOperand(&type16); auto param75 = model->addOperand(&type2); auto param76 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap1 = model->addOperand(&type17); + auto featureMap1 = model->addOperand(&type18); auto param77 = model->addOperand(&type2); auto param78 = model->addOperand(&type2); auto param79 = model->addOperand(&type2); auto param80 = model->addOperand(&type2); auto param81 = model->addOperand(&type2); auto param82 = model->addOperand(&type2); - auto out1 = model->addOperand(&type17); + auto out1 = model->addOperand(&type18); // Phase 2, operations static float scores1_init[] = {0.9f, 0.1f}; model->setOperandValue(scores1, scores1_init, sizeof(float) * 2); @@ -6056,46 +6056,46 @@ inline bool is_ignored_zero_sized_nhwc_relaxed_2(int i) { void CreateModel_zero_sized_nhwc_quant8_2(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); OperandType type2(Type::INT32, {}); - OperandType type58(Type::TENSOR_QUANT8_ASYMM, {0, 2, 2, 1}, 0.1f, 128); - OperandType type59(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1}, 0.1f, 128); - OperandType type61(Type::TENSOR_QUANT16_ASYMM, {1, 8}, 0.125f, 0); - OperandType type62(Type::TENSOR_QUANT16_ASYMM, {0, 4}, 0.125f, 0); - OperandType type63(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 0.1f, 128); - OperandType type64(Type::TENSOR_QUANT8_ASYMM, {0}, 0.1f, 128); + OperandType type64(Type::TENSOR_QUANT8_ASYMM, {0, 2, 2, 1}, 0.1f, 128); + OperandType type65(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1}, 0.1f, 128); + OperandType type67(Type::TENSOR_QUANT16_ASYMM, {1, 8}, 0.125f, 0); + OperandType type68(Type::TENSOR_QUANT16_ASYMM, {0, 4}, 0.125f, 0); + OperandType type69(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 0.1f, 128); + OperandType type70(Type::TENSOR_QUANT8_ASYMM, {0}, 0.1f, 128); // Phase 1, operands - auto scores1 = model->addOperand(&type63); - auto roi1 = model->addOperand(&type61); - auto param64 = model->addOperand(&type14); - auto param65 = model->addOperand(&type15); + auto scores1 = model->addOperand(&type69); + auto roi1 = model->addOperand(&type67); + auto param64 = model->addOperand(&type15); + auto param65 = model->addOperand(&type16); auto param66 = model->addOperand(&type2); auto param67 = model->addOperand(&type2); - auto param68 = model->addOperand(&type15); - auto param69 = model->addOperand(&type15); - auto param70 = model->addOperand(&type15); - auto scoresOut1 = model->addOperand(&type64); - auto roiOut1 = model->addOperand(&type62); - auto classesOut1 = model->addOperand(&type12); - auto batchSplitOut1 = model->addOperand(&type12); - auto in1 = model->addOperand(&type59); + auto param68 = model->addOperand(&type16); + auto param69 = model->addOperand(&type16); + auto param70 = model->addOperand(&type16); + auto scoresOut1 = model->addOperand(&type70); + auto roiOut1 = model->addOperand(&type68); + auto classesOut1 = model->addOperand(&type13); + auto batchSplitOut1 = model->addOperand(&type13); + auto in1 = model->addOperand(&type65); auto param71 = model->addOperand(&type2); auto param72 = model->addOperand(&type2); - auto param73 = model->addOperand(&type15); - auto param74 = model->addOperand(&type15); + auto param73 = model->addOperand(&type16); + auto param74 = model->addOperand(&type16); auto param75 = model->addOperand(&type2); auto param76 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap1 = model->addOperand(&type58); + auto featureMap1 = model->addOperand(&type64); auto param77 = model->addOperand(&type2); auto param78 = model->addOperand(&type2); auto param79 = model->addOperand(&type2); auto param80 = model->addOperand(&type2); auto param81 = model->addOperand(&type2); auto param82 = model->addOperand(&type2); - auto out1 = model->addOperand(&type58); + auto out1 = model->addOperand(&type64); // Phase 2, operations static uint8_t scores1_init[] = {137, 129}; model->setOperandValue(scores1, scores1_init, sizeof(uint8_t) * 2); @@ -6158,46 +6158,46 @@ inline bool is_ignored_zero_sized_nhwc_quant8_2(int i) { void CreateModel_zero_sized_nhwc_float16_2(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type14(Type::TENSOR_INT32, {1}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type15(Type::TENSOR_INT32, {1}); OperandType type2(Type::INT32, {}); - OperandType type65(Type::TENSOR_FLOAT16, {0, 2, 2, 1}); - OperandType type66(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); - OperandType type68(Type::FLOAT16, {}); - OperandType type69(Type::TENSOR_FLOAT16, {1, 8}); - OperandType type70(Type::TENSOR_FLOAT16, {0, 4}); - OperandType type71(Type::TENSOR_FLOAT16, {1, 2}); - OperandType type72(Type::TENSOR_FLOAT16, {0}); + OperandType type71(Type::TENSOR_FLOAT16, {0, 2, 2, 1}); + OperandType type72(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); + OperandType type74(Type::FLOAT16, {}); + OperandType type75(Type::TENSOR_FLOAT16, {1, 8}); + OperandType type76(Type::TENSOR_FLOAT16, {0, 4}); + OperandType type77(Type::TENSOR_FLOAT16, {1, 2}); + OperandType type78(Type::TENSOR_FLOAT16, {0}); // Phase 1, operands - auto scores1 = model->addOperand(&type71); - auto roi1 = model->addOperand(&type69); - auto param64 = model->addOperand(&type14); - auto param65 = model->addOperand(&type68); + auto scores1 = model->addOperand(&type77); + auto roi1 = model->addOperand(&type75); + auto param64 = model->addOperand(&type15); + auto param65 = model->addOperand(&type74); auto param66 = model->addOperand(&type2); auto param67 = model->addOperand(&type2); - auto param68 = model->addOperand(&type68); - auto param69 = model->addOperand(&type68); - auto param70 = model->addOperand(&type68); - auto scoresOut1 = model->addOperand(&type72); - auto roiOut1 = model->addOperand(&type70); - auto classesOut1 = model->addOperand(&type12); - auto batchSplitOut1 = model->addOperand(&type12); - auto in1 = model->addOperand(&type66); + auto param68 = model->addOperand(&type74); + auto param69 = model->addOperand(&type74); + auto param70 = model->addOperand(&type74); + auto scoresOut1 = model->addOperand(&type78); + auto roiOut1 = model->addOperand(&type76); + auto classesOut1 = model->addOperand(&type13); + auto batchSplitOut1 = model->addOperand(&type13); + auto in1 = model->addOperand(&type72); auto param71 = model->addOperand(&type2); auto param72 = model->addOperand(&type2); - auto param73 = model->addOperand(&type68); - auto param74 = model->addOperand(&type68); + auto param73 = model->addOperand(&type74); + auto param74 = model->addOperand(&type74); auto param75 = model->addOperand(&type2); auto param76 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap1 = model->addOperand(&type65); + auto featureMap1 = model->addOperand(&type71); auto param77 = model->addOperand(&type2); auto param78 = model->addOperand(&type2); auto param79 = model->addOperand(&type2); auto param80 = model->addOperand(&type2); auto param81 = model->addOperand(&type2); auto param82 = model->addOperand(&type2); - auto out1 = model->addOperand(&type65); + auto out1 = model->addOperand(&type71); // Phase 2, operations static _Float16 scores1_init[] = {0.8999999761581421f, 0.10000000149011612f}; model->setOperandValue(scores1, scores1_init, sizeof(_Float16) * 2); @@ -6260,46 +6260,46 @@ inline bool is_ignored_zero_sized_nhwc_float16_2(int i) { void CreateModel_zero_sized_nchw_2(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type10(Type::TENSOR_FLOAT32, {1, 8}); - OperandType type11(Type::TENSOR_FLOAT32, {0}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type13(Type::TENSOR_FLOAT32, {0, 4}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); - OperandType type16(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); + OperandType type10(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type11(Type::TENSOR_FLOAT32, {1, 8}); + OperandType type12(Type::TENSOR_FLOAT32, {0}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type14(Type::TENSOR_FLOAT32, {0, 4}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); + OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); OperandType type2(Type::INT32, {}); - OperandType type73(Type::TENSOR_FLOAT32, {0, 1, 2, 2}); - OperandType type9(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type79(Type::TENSOR_FLOAT32, {0, 1, 2, 2}); // Phase 1, operands - auto scores1 = model->addOperand(&type9); - auto roi1 = model->addOperand(&type10); - auto param64 = model->addOperand(&type14); - auto param65 = model->addOperand(&type15); + auto scores1 = model->addOperand(&type10); + auto roi1 = model->addOperand(&type11); + auto param64 = model->addOperand(&type15); + auto param65 = model->addOperand(&type16); auto param66 = model->addOperand(&type2); auto param67 = model->addOperand(&type2); - auto param68 = model->addOperand(&type15); - auto param69 = model->addOperand(&type15); - auto param70 = model->addOperand(&type15); - auto scoresOut1 = model->addOperand(&type11); - auto roiOut1 = model->addOperand(&type13); - auto classesOut1 = model->addOperand(&type12); - auto batchSplitOut1 = model->addOperand(&type12); - auto in1 = model->addOperand(&type16); + auto param68 = model->addOperand(&type16); + auto param69 = model->addOperand(&type16); + auto param70 = model->addOperand(&type16); + auto scoresOut1 = model->addOperand(&type12); + auto roiOut1 = model->addOperand(&type14); + auto classesOut1 = model->addOperand(&type13); + auto batchSplitOut1 = model->addOperand(&type13); + auto in1 = model->addOperand(&type17); auto param71 = model->addOperand(&type2); auto param72 = model->addOperand(&type2); - auto param73 = model->addOperand(&type15); - auto param74 = model->addOperand(&type15); + auto param73 = model->addOperand(&type16); + auto param74 = model->addOperand(&type16); auto param75 = model->addOperand(&type2); auto param76 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap1 = model->addOperand(&type73); + auto featureMap1 = model->addOperand(&type79); auto param77 = model->addOperand(&type2); auto param78 = model->addOperand(&type2); auto param79 = model->addOperand(&type2); auto param80 = model->addOperand(&type2); auto param81 = model->addOperand(&type2); auto param82 = model->addOperand(&type2); - auto out1 = model->addOperand(&type73); + auto out1 = model->addOperand(&type79); // Phase 2, operations static float scores1_init[] = {0.9f, 0.1f}; model->setOperandValue(scores1, scores1_init, sizeof(float) * 2); @@ -6362,46 +6362,46 @@ inline bool is_ignored_zero_sized_nchw_2(int i) { void CreateModel_zero_sized_nchw_relaxed_2(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type10(Type::TENSOR_FLOAT32, {1, 8}); - OperandType type11(Type::TENSOR_FLOAT32, {0}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type13(Type::TENSOR_FLOAT32, {0, 4}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); - OperandType type16(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); + OperandType type10(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type11(Type::TENSOR_FLOAT32, {1, 8}); + OperandType type12(Type::TENSOR_FLOAT32, {0}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type14(Type::TENSOR_FLOAT32, {0, 4}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); + OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); OperandType type2(Type::INT32, {}); - OperandType type73(Type::TENSOR_FLOAT32, {0, 1, 2, 2}); - OperandType type9(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type79(Type::TENSOR_FLOAT32, {0, 1, 2, 2}); // Phase 1, operands - auto scores1 = model->addOperand(&type9); - auto roi1 = model->addOperand(&type10); - auto param64 = model->addOperand(&type14); - auto param65 = model->addOperand(&type15); + auto scores1 = model->addOperand(&type10); + auto roi1 = model->addOperand(&type11); + auto param64 = model->addOperand(&type15); + auto param65 = model->addOperand(&type16); auto param66 = model->addOperand(&type2); auto param67 = model->addOperand(&type2); - auto param68 = model->addOperand(&type15); - auto param69 = model->addOperand(&type15); - auto param70 = model->addOperand(&type15); - auto scoresOut1 = model->addOperand(&type11); - auto roiOut1 = model->addOperand(&type13); - auto classesOut1 = model->addOperand(&type12); - auto batchSplitOut1 = model->addOperand(&type12); - auto in1 = model->addOperand(&type16); + auto param68 = model->addOperand(&type16); + auto param69 = model->addOperand(&type16); + auto param70 = model->addOperand(&type16); + auto scoresOut1 = model->addOperand(&type12); + auto roiOut1 = model->addOperand(&type14); + auto classesOut1 = model->addOperand(&type13); + auto batchSplitOut1 = model->addOperand(&type13); + auto in1 = model->addOperand(&type17); auto param71 = model->addOperand(&type2); auto param72 = model->addOperand(&type2); - auto param73 = model->addOperand(&type15); - auto param74 = model->addOperand(&type15); + auto param73 = model->addOperand(&type16); + auto param74 = model->addOperand(&type16); auto param75 = model->addOperand(&type2); auto param76 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap1 = model->addOperand(&type73); + auto featureMap1 = model->addOperand(&type79); auto param77 = model->addOperand(&type2); auto param78 = model->addOperand(&type2); auto param79 = model->addOperand(&type2); auto param80 = model->addOperand(&type2); auto param81 = model->addOperand(&type2); auto param82 = model->addOperand(&type2); - auto out1 = model->addOperand(&type73); + auto out1 = model->addOperand(&type79); // Phase 2, operations static float scores1_init[] = {0.9f, 0.1f}; model->setOperandValue(scores1, scores1_init, sizeof(float) * 2); @@ -6466,46 +6466,46 @@ inline bool is_ignored_zero_sized_nchw_relaxed_2(int i) { void CreateModel_zero_sized_nchw_quant8_2(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); OperandType type2(Type::INT32, {}); - OperandType type59(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1}, 0.1f, 128); - OperandType type61(Type::TENSOR_QUANT16_ASYMM, {1, 8}, 0.125f, 0); - OperandType type62(Type::TENSOR_QUANT16_ASYMM, {0, 4}, 0.125f, 0); - OperandType type63(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 0.1f, 128); - OperandType type64(Type::TENSOR_QUANT8_ASYMM, {0}, 0.1f, 128); - OperandType type74(Type::TENSOR_QUANT8_ASYMM, {0, 1, 2, 2}, 0.1f, 128); + OperandType type65(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1}, 0.1f, 128); + OperandType type67(Type::TENSOR_QUANT16_ASYMM, {1, 8}, 0.125f, 0); + OperandType type68(Type::TENSOR_QUANT16_ASYMM, {0, 4}, 0.125f, 0); + OperandType type69(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 0.1f, 128); + OperandType type70(Type::TENSOR_QUANT8_ASYMM, {0}, 0.1f, 128); + OperandType type80(Type::TENSOR_QUANT8_ASYMM, {0, 1, 2, 2}, 0.1f, 128); // Phase 1, operands - auto scores1 = model->addOperand(&type63); - auto roi1 = model->addOperand(&type61); - auto param64 = model->addOperand(&type14); - auto param65 = model->addOperand(&type15); + auto scores1 = model->addOperand(&type69); + auto roi1 = model->addOperand(&type67); + auto param64 = model->addOperand(&type15); + auto param65 = model->addOperand(&type16); auto param66 = model->addOperand(&type2); auto param67 = model->addOperand(&type2); - auto param68 = model->addOperand(&type15); - auto param69 = model->addOperand(&type15); - auto param70 = model->addOperand(&type15); - auto scoresOut1 = model->addOperand(&type64); - auto roiOut1 = model->addOperand(&type62); - auto classesOut1 = model->addOperand(&type12); - auto batchSplitOut1 = model->addOperand(&type12); - auto in1 = model->addOperand(&type59); + auto param68 = model->addOperand(&type16); + auto param69 = model->addOperand(&type16); + auto param70 = model->addOperand(&type16); + auto scoresOut1 = model->addOperand(&type70); + auto roiOut1 = model->addOperand(&type68); + auto classesOut1 = model->addOperand(&type13); + auto batchSplitOut1 = model->addOperand(&type13); + auto in1 = model->addOperand(&type65); auto param71 = model->addOperand(&type2); auto param72 = model->addOperand(&type2); - auto param73 = model->addOperand(&type15); - auto param74 = model->addOperand(&type15); + auto param73 = model->addOperand(&type16); + auto param74 = model->addOperand(&type16); auto param75 = model->addOperand(&type2); auto param76 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap1 = model->addOperand(&type74); + auto featureMap1 = model->addOperand(&type80); auto param77 = model->addOperand(&type2); auto param78 = model->addOperand(&type2); auto param79 = model->addOperand(&type2); auto param80 = model->addOperand(&type2); auto param81 = model->addOperand(&type2); auto param82 = model->addOperand(&type2); - auto out1 = model->addOperand(&type74); + auto out1 = model->addOperand(&type80); // Phase 2, operations static uint8_t scores1_init[] = {137, 129}; model->setOperandValue(scores1, scores1_init, sizeof(uint8_t) * 2); @@ -6568,46 +6568,46 @@ inline bool is_ignored_zero_sized_nchw_quant8_2(int i) { void CreateModel_zero_sized_nchw_float16_2(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type14(Type::TENSOR_INT32, {1}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type15(Type::TENSOR_INT32, {1}); OperandType type2(Type::INT32, {}); - OperandType type66(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); - OperandType type68(Type::FLOAT16, {}); - OperandType type69(Type::TENSOR_FLOAT16, {1, 8}); - OperandType type70(Type::TENSOR_FLOAT16, {0, 4}); - OperandType type71(Type::TENSOR_FLOAT16, {1, 2}); - OperandType type72(Type::TENSOR_FLOAT16, {0}); - OperandType type75(Type::TENSOR_FLOAT16, {0, 1, 2, 2}); + OperandType type72(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); + OperandType type74(Type::FLOAT16, {}); + OperandType type75(Type::TENSOR_FLOAT16, {1, 8}); + OperandType type76(Type::TENSOR_FLOAT16, {0, 4}); + OperandType type77(Type::TENSOR_FLOAT16, {1, 2}); + OperandType type78(Type::TENSOR_FLOAT16, {0}); + OperandType type81(Type::TENSOR_FLOAT16, {0, 1, 2, 2}); // Phase 1, operands - auto scores1 = model->addOperand(&type71); - auto roi1 = model->addOperand(&type69); - auto param64 = model->addOperand(&type14); - auto param65 = model->addOperand(&type68); + auto scores1 = model->addOperand(&type77); + auto roi1 = model->addOperand(&type75); + auto param64 = model->addOperand(&type15); + auto param65 = model->addOperand(&type74); auto param66 = model->addOperand(&type2); auto param67 = model->addOperand(&type2); - auto param68 = model->addOperand(&type68); - auto param69 = model->addOperand(&type68); - auto param70 = model->addOperand(&type68); - auto scoresOut1 = model->addOperand(&type72); - auto roiOut1 = model->addOperand(&type70); - auto classesOut1 = model->addOperand(&type12); - auto batchSplitOut1 = model->addOperand(&type12); - auto in1 = model->addOperand(&type66); + auto param68 = model->addOperand(&type74); + auto param69 = model->addOperand(&type74); + auto param70 = model->addOperand(&type74); + auto scoresOut1 = model->addOperand(&type78); + auto roiOut1 = model->addOperand(&type76); + auto classesOut1 = model->addOperand(&type13); + auto batchSplitOut1 = model->addOperand(&type13); + auto in1 = model->addOperand(&type72); auto param71 = model->addOperand(&type2); auto param72 = model->addOperand(&type2); - auto param73 = model->addOperand(&type68); - auto param74 = model->addOperand(&type68); + auto param73 = model->addOperand(&type74); + auto param74 = model->addOperand(&type74); auto param75 = model->addOperand(&type2); auto param76 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap1 = model->addOperand(&type75); + auto featureMap1 = model->addOperand(&type81); auto param77 = model->addOperand(&type2); auto param78 = model->addOperand(&type2); auto param79 = model->addOperand(&type2); auto param80 = model->addOperand(&type2); auto param81 = model->addOperand(&type2); auto param82 = model->addOperand(&type2); - auto out1 = model->addOperand(&type75); + auto out1 = model->addOperand(&type81); // Phase 2, operations static _Float16 scores1_init[] = {0.8999999761581421f, 0.10000000149011612f}; model->setOperandValue(scores1, scores1_init, sizeof(_Float16) * 2); @@ -6670,47 +6670,47 @@ inline bool is_ignored_zero_sized_nchw_float16_2(int i) { void CreateModel_zero_sized_dynamic_output_shape_nhwc_2(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type10(Type::TENSOR_FLOAT32, {1, 8}); - OperandType type11(Type::TENSOR_FLOAT32, {0}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type13(Type::TENSOR_FLOAT32, {0, 4}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); - OperandType type16(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); - OperandType type17(Type::TENSOR_FLOAT32, {0, 2, 2, 1}); + OperandType type10(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type11(Type::TENSOR_FLOAT32, {1, 8}); + OperandType type12(Type::TENSOR_FLOAT32, {0}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type14(Type::TENSOR_FLOAT32, {0, 4}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); + OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); + OperandType type18(Type::TENSOR_FLOAT32, {0, 2, 2, 1}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type9(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); // Phase 1, operands - auto scores1 = model->addOperand(&type9); - auto roi1 = model->addOperand(&type10); - auto param64 = model->addOperand(&type14); - auto param65 = model->addOperand(&type15); + auto scores1 = model->addOperand(&type10); + auto roi1 = model->addOperand(&type11); + auto param64 = model->addOperand(&type15); + auto param65 = model->addOperand(&type16); auto param66 = model->addOperand(&type2); auto param67 = model->addOperand(&type2); - auto param68 = model->addOperand(&type15); - auto param69 = model->addOperand(&type15); - auto param70 = model->addOperand(&type15); - auto scoresOut1 = model->addOperand(&type11); - auto roiOut1 = model->addOperand(&type13); - auto classesOut1 = model->addOperand(&type12); - auto batchSplitOut1 = model->addOperand(&type12); - auto in1 = model->addOperand(&type16); + auto param68 = model->addOperand(&type16); + auto param69 = model->addOperand(&type16); + auto param70 = model->addOperand(&type16); + auto scoresOut1 = model->addOperand(&type12); + auto roiOut1 = model->addOperand(&type14); + auto classesOut1 = model->addOperand(&type13); + auto batchSplitOut1 = model->addOperand(&type13); + auto in1 = model->addOperand(&type17); auto param71 = model->addOperand(&type2); auto param72 = model->addOperand(&type2); - auto param73 = model->addOperand(&type15); - auto param74 = model->addOperand(&type15); + auto param73 = model->addOperand(&type16); + auto param74 = model->addOperand(&type16); auto param75 = model->addOperand(&type2); auto param76 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap1 = model->addOperand(&type17); + auto featureMap1 = model->addOperand(&type18); auto param77 = model->addOperand(&type2); auto param78 = model->addOperand(&type2); auto param79 = model->addOperand(&type2); auto param80 = model->addOperand(&type2); auto param81 = model->addOperand(&type2); auto param82 = model->addOperand(&type2); - auto out1 = model->addOperand(&type24); + auto out1 = model->addOperand(&type25); // Phase 2, operations static float scores1_init[] = {0.9f, 0.1f}; model->setOperandValue(scores1, scores1_init, sizeof(float) * 2); @@ -6773,47 +6773,47 @@ inline bool is_ignored_zero_sized_dynamic_output_shape_nhwc_2(int i) { void CreateModel_zero_sized_dynamic_output_shape_nhwc_relaxed_2(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type10(Type::TENSOR_FLOAT32, {1, 8}); - OperandType type11(Type::TENSOR_FLOAT32, {0}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type13(Type::TENSOR_FLOAT32, {0, 4}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); - OperandType type16(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); - OperandType type17(Type::TENSOR_FLOAT32, {0, 2, 2, 1}); + OperandType type10(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type11(Type::TENSOR_FLOAT32, {1, 8}); + OperandType type12(Type::TENSOR_FLOAT32, {0}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type14(Type::TENSOR_FLOAT32, {0, 4}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); + OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); + OperandType type18(Type::TENSOR_FLOAT32, {0, 2, 2, 1}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type9(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); // Phase 1, operands - auto scores1 = model->addOperand(&type9); - auto roi1 = model->addOperand(&type10); - auto param64 = model->addOperand(&type14); - auto param65 = model->addOperand(&type15); + auto scores1 = model->addOperand(&type10); + auto roi1 = model->addOperand(&type11); + auto param64 = model->addOperand(&type15); + auto param65 = model->addOperand(&type16); auto param66 = model->addOperand(&type2); auto param67 = model->addOperand(&type2); - auto param68 = model->addOperand(&type15); - auto param69 = model->addOperand(&type15); - auto param70 = model->addOperand(&type15); - auto scoresOut1 = model->addOperand(&type11); - auto roiOut1 = model->addOperand(&type13); - auto classesOut1 = model->addOperand(&type12); - auto batchSplitOut1 = model->addOperand(&type12); - auto in1 = model->addOperand(&type16); + auto param68 = model->addOperand(&type16); + auto param69 = model->addOperand(&type16); + auto param70 = model->addOperand(&type16); + auto scoresOut1 = model->addOperand(&type12); + auto roiOut1 = model->addOperand(&type14); + auto classesOut1 = model->addOperand(&type13); + auto batchSplitOut1 = model->addOperand(&type13); + auto in1 = model->addOperand(&type17); auto param71 = model->addOperand(&type2); auto param72 = model->addOperand(&type2); - auto param73 = model->addOperand(&type15); - auto param74 = model->addOperand(&type15); + auto param73 = model->addOperand(&type16); + auto param74 = model->addOperand(&type16); auto param75 = model->addOperand(&type2); auto param76 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap1 = model->addOperand(&type17); + auto featureMap1 = model->addOperand(&type18); auto param77 = model->addOperand(&type2); auto param78 = model->addOperand(&type2); auto param79 = model->addOperand(&type2); auto param80 = model->addOperand(&type2); auto param81 = model->addOperand(&type2); auto param82 = model->addOperand(&type2); - auto out1 = model->addOperand(&type24); + auto out1 = model->addOperand(&type25); // Phase 2, operations static float scores1_init[] = {0.9f, 0.1f}; model->setOperandValue(scores1, scores1_init, sizeof(float) * 2); @@ -6878,47 +6878,47 @@ inline bool is_ignored_zero_sized_dynamic_output_shape_nhwc_relaxed_2(int i) { void CreateModel_zero_sized_dynamic_output_shape_nhwc_quant8_2(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); OperandType type2(Type::INT32, {}); - OperandType type58(Type::TENSOR_QUANT8_ASYMM, {0, 2, 2, 1}, 0.1f, 128); - OperandType type59(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1}, 0.1f, 128); - OperandType type61(Type::TENSOR_QUANT16_ASYMM, {1, 8}, 0.125f, 0); - OperandType type62(Type::TENSOR_QUANT16_ASYMM, {0, 4}, 0.125f, 0); - OperandType type63(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 0.1f, 128); - OperandType type64(Type::TENSOR_QUANT8_ASYMM, {0}, 0.1f, 128); - OperandType type76(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.1f, 128); + OperandType type64(Type::TENSOR_QUANT8_ASYMM, {0, 2, 2, 1}, 0.1f, 128); + OperandType type65(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1}, 0.1f, 128); + OperandType type67(Type::TENSOR_QUANT16_ASYMM, {1, 8}, 0.125f, 0); + OperandType type68(Type::TENSOR_QUANT16_ASYMM, {0, 4}, 0.125f, 0); + OperandType type69(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 0.1f, 128); + OperandType type70(Type::TENSOR_QUANT8_ASYMM, {0}, 0.1f, 128); + OperandType type82(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.1f, 128); // Phase 1, operands - auto scores1 = model->addOperand(&type63); - auto roi1 = model->addOperand(&type61); - auto param64 = model->addOperand(&type14); - auto param65 = model->addOperand(&type15); + auto scores1 = model->addOperand(&type69); + auto roi1 = model->addOperand(&type67); + auto param64 = model->addOperand(&type15); + auto param65 = model->addOperand(&type16); auto param66 = model->addOperand(&type2); auto param67 = model->addOperand(&type2); - auto param68 = model->addOperand(&type15); - auto param69 = model->addOperand(&type15); - auto param70 = model->addOperand(&type15); - auto scoresOut1 = model->addOperand(&type64); - auto roiOut1 = model->addOperand(&type62); - auto classesOut1 = model->addOperand(&type12); - auto batchSplitOut1 = model->addOperand(&type12); - auto in1 = model->addOperand(&type59); + auto param68 = model->addOperand(&type16); + auto param69 = model->addOperand(&type16); + auto param70 = model->addOperand(&type16); + auto scoresOut1 = model->addOperand(&type70); + auto roiOut1 = model->addOperand(&type68); + auto classesOut1 = model->addOperand(&type13); + auto batchSplitOut1 = model->addOperand(&type13); + auto in1 = model->addOperand(&type65); auto param71 = model->addOperand(&type2); auto param72 = model->addOperand(&type2); - auto param73 = model->addOperand(&type15); - auto param74 = model->addOperand(&type15); + auto param73 = model->addOperand(&type16); + auto param74 = model->addOperand(&type16); auto param75 = model->addOperand(&type2); auto param76 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap1 = model->addOperand(&type58); + auto featureMap1 = model->addOperand(&type64); auto param77 = model->addOperand(&type2); auto param78 = model->addOperand(&type2); auto param79 = model->addOperand(&type2); auto param80 = model->addOperand(&type2); auto param81 = model->addOperand(&type2); auto param82 = model->addOperand(&type2); - auto out1 = model->addOperand(&type76); + auto out1 = model->addOperand(&type82); // Phase 2, operations static uint8_t scores1_init[] = {137, 129}; model->setOperandValue(scores1, scores1_init, sizeof(uint8_t) * 2); @@ -6981,47 +6981,47 @@ inline bool is_ignored_zero_sized_dynamic_output_shape_nhwc_quant8_2(int i) { void CreateModel_zero_sized_dynamic_output_shape_nhwc_float16_2(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type14(Type::TENSOR_INT32, {1}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type15(Type::TENSOR_INT32, {1}); OperandType type2(Type::INT32, {}); - OperandType type25(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); - OperandType type65(Type::TENSOR_FLOAT16, {0, 2, 2, 1}); - OperandType type66(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); - OperandType type68(Type::FLOAT16, {}); - OperandType type69(Type::TENSOR_FLOAT16, {1, 8}); - OperandType type70(Type::TENSOR_FLOAT16, {0, 4}); - OperandType type71(Type::TENSOR_FLOAT16, {1, 2}); - OperandType type77(Type::TENSOR_FLOAT16, {0}); + OperandType type26(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); + OperandType type71(Type::TENSOR_FLOAT16, {0, 2, 2, 1}); + OperandType type72(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); + OperandType type74(Type::FLOAT16, {}); + OperandType type75(Type::TENSOR_FLOAT16, {1, 8}); + OperandType type76(Type::TENSOR_FLOAT16, {0, 4}); + OperandType type77(Type::TENSOR_FLOAT16, {1, 2}); + OperandType type83(Type::TENSOR_FLOAT16, {0}); // Phase 1, operands - auto scores1 = model->addOperand(&type71); - auto roi1 = model->addOperand(&type69); - auto param64 = model->addOperand(&type14); - auto param65 = model->addOperand(&type68); + auto scores1 = model->addOperand(&type77); + auto roi1 = model->addOperand(&type75); + auto param64 = model->addOperand(&type15); + auto param65 = model->addOperand(&type74); auto param66 = model->addOperand(&type2); auto param67 = model->addOperand(&type2); - auto param68 = model->addOperand(&type68); - auto param69 = model->addOperand(&type68); - auto param70 = model->addOperand(&type68); - auto scoresOut1 = model->addOperand(&type77); - auto roiOut1 = model->addOperand(&type70); - auto classesOut1 = model->addOperand(&type12); - auto batchSplitOut1 = model->addOperand(&type12); - auto in1 = model->addOperand(&type66); + auto param68 = model->addOperand(&type74); + auto param69 = model->addOperand(&type74); + auto param70 = model->addOperand(&type74); + auto scoresOut1 = model->addOperand(&type83); + auto roiOut1 = model->addOperand(&type76); + auto classesOut1 = model->addOperand(&type13); + auto batchSplitOut1 = model->addOperand(&type13); + auto in1 = model->addOperand(&type72); auto param71 = model->addOperand(&type2); auto param72 = model->addOperand(&type2); - auto param73 = model->addOperand(&type68); - auto param74 = model->addOperand(&type68); + auto param73 = model->addOperand(&type74); + auto param74 = model->addOperand(&type74); auto param75 = model->addOperand(&type2); auto param76 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap1 = model->addOperand(&type65); + auto featureMap1 = model->addOperand(&type71); auto param77 = model->addOperand(&type2); auto param78 = model->addOperand(&type2); auto param79 = model->addOperand(&type2); auto param80 = model->addOperand(&type2); auto param81 = model->addOperand(&type2); auto param82 = model->addOperand(&type2); - auto out1 = model->addOperand(&type25); + auto out1 = model->addOperand(&type26); // Phase 2, operations static _Float16 scores1_init[] = {0.8999999761581421f, 0.10000000149011612f}; model->setOperandValue(scores1, scores1_init, sizeof(_Float16) * 2); @@ -7084,47 +7084,47 @@ inline bool is_ignored_zero_sized_dynamic_output_shape_nhwc_float16_2(int i) { void CreateModel_zero_sized_dynamic_output_shape_nchw_2(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type10(Type::TENSOR_FLOAT32, {1, 8}); - OperandType type11(Type::TENSOR_FLOAT32, {0}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type13(Type::TENSOR_FLOAT32, {0, 4}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); - OperandType type16(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); + OperandType type10(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type11(Type::TENSOR_FLOAT32, {1, 8}); + OperandType type12(Type::TENSOR_FLOAT32, {0}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type14(Type::TENSOR_FLOAT32, {0, 4}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); + OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type73(Type::TENSOR_FLOAT32, {0, 1, 2, 2}); - OperandType type9(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type79(Type::TENSOR_FLOAT32, {0, 1, 2, 2}); // Phase 1, operands - auto scores1 = model->addOperand(&type9); - auto roi1 = model->addOperand(&type10); - auto param64 = model->addOperand(&type14); - auto param65 = model->addOperand(&type15); + auto scores1 = model->addOperand(&type10); + auto roi1 = model->addOperand(&type11); + auto param64 = model->addOperand(&type15); + auto param65 = model->addOperand(&type16); auto param66 = model->addOperand(&type2); auto param67 = model->addOperand(&type2); - auto param68 = model->addOperand(&type15); - auto param69 = model->addOperand(&type15); - auto param70 = model->addOperand(&type15); - auto scoresOut1 = model->addOperand(&type11); - auto roiOut1 = model->addOperand(&type13); - auto classesOut1 = model->addOperand(&type12); - auto batchSplitOut1 = model->addOperand(&type12); - auto in1 = model->addOperand(&type16); + auto param68 = model->addOperand(&type16); + auto param69 = model->addOperand(&type16); + auto param70 = model->addOperand(&type16); + auto scoresOut1 = model->addOperand(&type12); + auto roiOut1 = model->addOperand(&type14); + auto classesOut1 = model->addOperand(&type13); + auto batchSplitOut1 = model->addOperand(&type13); + auto in1 = model->addOperand(&type17); auto param71 = model->addOperand(&type2); auto param72 = model->addOperand(&type2); - auto param73 = model->addOperand(&type15); - auto param74 = model->addOperand(&type15); + auto param73 = model->addOperand(&type16); + auto param74 = model->addOperand(&type16); auto param75 = model->addOperand(&type2); auto param76 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap1 = model->addOperand(&type73); + auto featureMap1 = model->addOperand(&type79); auto param77 = model->addOperand(&type2); auto param78 = model->addOperand(&type2); auto param79 = model->addOperand(&type2); auto param80 = model->addOperand(&type2); auto param81 = model->addOperand(&type2); auto param82 = model->addOperand(&type2); - auto out1 = model->addOperand(&type24); + auto out1 = model->addOperand(&type25); // Phase 2, operations static float scores1_init[] = {0.9f, 0.1f}; model->setOperandValue(scores1, scores1_init, sizeof(float) * 2); @@ -7187,47 +7187,47 @@ inline bool is_ignored_zero_sized_dynamic_output_shape_nchw_2(int i) { void CreateModel_zero_sized_dynamic_output_shape_nchw_relaxed_2(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type10(Type::TENSOR_FLOAT32, {1, 8}); - OperandType type11(Type::TENSOR_FLOAT32, {0}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type13(Type::TENSOR_FLOAT32, {0, 4}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); - OperandType type16(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); + OperandType type10(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type11(Type::TENSOR_FLOAT32, {1, 8}); + OperandType type12(Type::TENSOR_FLOAT32, {0}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type14(Type::TENSOR_FLOAT32, {0, 4}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); + OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 1, 1}); OperandType type2(Type::INT32, {}); - OperandType type24(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); - OperandType type73(Type::TENSOR_FLOAT32, {0, 1, 2, 2}); - OperandType type9(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type25(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); + OperandType type79(Type::TENSOR_FLOAT32, {0, 1, 2, 2}); // Phase 1, operands - auto scores1 = model->addOperand(&type9); - auto roi1 = model->addOperand(&type10); - auto param64 = model->addOperand(&type14); - auto param65 = model->addOperand(&type15); + auto scores1 = model->addOperand(&type10); + auto roi1 = model->addOperand(&type11); + auto param64 = model->addOperand(&type15); + auto param65 = model->addOperand(&type16); auto param66 = model->addOperand(&type2); auto param67 = model->addOperand(&type2); - auto param68 = model->addOperand(&type15); - auto param69 = model->addOperand(&type15); - auto param70 = model->addOperand(&type15); - auto scoresOut1 = model->addOperand(&type11); - auto roiOut1 = model->addOperand(&type13); - auto classesOut1 = model->addOperand(&type12); - auto batchSplitOut1 = model->addOperand(&type12); - auto in1 = model->addOperand(&type16); + auto param68 = model->addOperand(&type16); + auto param69 = model->addOperand(&type16); + auto param70 = model->addOperand(&type16); + auto scoresOut1 = model->addOperand(&type12); + auto roiOut1 = model->addOperand(&type14); + auto classesOut1 = model->addOperand(&type13); + auto batchSplitOut1 = model->addOperand(&type13); + auto in1 = model->addOperand(&type17); auto param71 = model->addOperand(&type2); auto param72 = model->addOperand(&type2); - auto param73 = model->addOperand(&type15); - auto param74 = model->addOperand(&type15); + auto param73 = model->addOperand(&type16); + auto param74 = model->addOperand(&type16); auto param75 = model->addOperand(&type2); auto param76 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap1 = model->addOperand(&type73); + auto featureMap1 = model->addOperand(&type79); auto param77 = model->addOperand(&type2); auto param78 = model->addOperand(&type2); auto param79 = model->addOperand(&type2); auto param80 = model->addOperand(&type2); auto param81 = model->addOperand(&type2); auto param82 = model->addOperand(&type2); - auto out1 = model->addOperand(&type24); + auto out1 = model->addOperand(&type25); // Phase 2, operations static float scores1_init[] = {0.9f, 0.1f}; model->setOperandValue(scores1, scores1_init, sizeof(float) * 2); @@ -7292,47 +7292,47 @@ inline bool is_ignored_zero_sized_dynamic_output_shape_nchw_relaxed_2(int i) { void CreateModel_zero_sized_dynamic_output_shape_nchw_quant8_2(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type14(Type::TENSOR_INT32, {1}); - OperandType type15(Type::FLOAT32, {}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type15(Type::TENSOR_INT32, {1}); + OperandType type16(Type::FLOAT32, {}); OperandType type2(Type::INT32, {}); - OperandType type59(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1}, 0.1f, 128); - OperandType type61(Type::TENSOR_QUANT16_ASYMM, {1, 8}, 0.125f, 0); - OperandType type62(Type::TENSOR_QUANT16_ASYMM, {0, 4}, 0.125f, 0); - OperandType type63(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 0.1f, 128); - OperandType type64(Type::TENSOR_QUANT8_ASYMM, {0}, 0.1f, 128); - OperandType type74(Type::TENSOR_QUANT8_ASYMM, {0, 1, 2, 2}, 0.1f, 128); - OperandType type76(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.1f, 128); + OperandType type65(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1}, 0.1f, 128); + OperandType type67(Type::TENSOR_QUANT16_ASYMM, {1, 8}, 0.125f, 0); + OperandType type68(Type::TENSOR_QUANT16_ASYMM, {0, 4}, 0.125f, 0); + OperandType type69(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 0.1f, 128); + OperandType type70(Type::TENSOR_QUANT8_ASYMM, {0}, 0.1f, 128); + OperandType type80(Type::TENSOR_QUANT8_ASYMM, {0, 1, 2, 2}, 0.1f, 128); + OperandType type82(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 0.1f, 128); // Phase 1, operands - auto scores1 = model->addOperand(&type63); - auto roi1 = model->addOperand(&type61); - auto param64 = model->addOperand(&type14); - auto param65 = model->addOperand(&type15); + auto scores1 = model->addOperand(&type69); + auto roi1 = model->addOperand(&type67); + auto param64 = model->addOperand(&type15); + auto param65 = model->addOperand(&type16); auto param66 = model->addOperand(&type2); auto param67 = model->addOperand(&type2); - auto param68 = model->addOperand(&type15); - auto param69 = model->addOperand(&type15); - auto param70 = model->addOperand(&type15); - auto scoresOut1 = model->addOperand(&type64); - auto roiOut1 = model->addOperand(&type62); - auto classesOut1 = model->addOperand(&type12); - auto batchSplitOut1 = model->addOperand(&type12); - auto in1 = model->addOperand(&type59); + auto param68 = model->addOperand(&type16); + auto param69 = model->addOperand(&type16); + auto param70 = model->addOperand(&type16); + auto scoresOut1 = model->addOperand(&type70); + auto roiOut1 = model->addOperand(&type68); + auto classesOut1 = model->addOperand(&type13); + auto batchSplitOut1 = model->addOperand(&type13); + auto in1 = model->addOperand(&type65); auto param71 = model->addOperand(&type2); auto param72 = model->addOperand(&type2); - auto param73 = model->addOperand(&type15); - auto param74 = model->addOperand(&type15); + auto param73 = model->addOperand(&type16); + auto param74 = model->addOperand(&type16); auto param75 = model->addOperand(&type2); auto param76 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap1 = model->addOperand(&type74); + auto featureMap1 = model->addOperand(&type80); auto param77 = model->addOperand(&type2); auto param78 = model->addOperand(&type2); auto param79 = model->addOperand(&type2); auto param80 = model->addOperand(&type2); auto param81 = model->addOperand(&type2); auto param82 = model->addOperand(&type2); - auto out1 = model->addOperand(&type76); + auto out1 = model->addOperand(&type82); // Phase 2, operations static uint8_t scores1_init[] = {137, 129}; model->setOperandValue(scores1, scores1_init, sizeof(uint8_t) * 2); @@ -7395,47 +7395,47 @@ inline bool is_ignored_zero_sized_dynamic_output_shape_nchw_quant8_2(int i) { void CreateModel_zero_sized_dynamic_output_shape_nchw_float16_2(Model *model) { OperandType type0(Type::BOOL, {}); - OperandType type12(Type::TENSOR_INT32, {0}); - OperandType type14(Type::TENSOR_INT32, {1}); + OperandType type13(Type::TENSOR_INT32, {0}); + OperandType type15(Type::TENSOR_INT32, {1}); OperandType type2(Type::INT32, {}); - OperandType type25(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); - OperandType type66(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); - OperandType type68(Type::FLOAT16, {}); - OperandType type69(Type::TENSOR_FLOAT16, {1, 8}); - OperandType type70(Type::TENSOR_FLOAT16, {0, 4}); - OperandType type71(Type::TENSOR_FLOAT16, {1, 2}); - OperandType type75(Type::TENSOR_FLOAT16, {0, 1, 2, 2}); - OperandType type77(Type::TENSOR_FLOAT16, {0}); + OperandType type26(Type::TENSOR_FLOAT16, {0, 0, 0, 0}); + OperandType type72(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); + OperandType type74(Type::FLOAT16, {}); + OperandType type75(Type::TENSOR_FLOAT16, {1, 8}); + OperandType type76(Type::TENSOR_FLOAT16, {0, 4}); + OperandType type77(Type::TENSOR_FLOAT16, {1, 2}); + OperandType type81(Type::TENSOR_FLOAT16, {0, 1, 2, 2}); + OperandType type83(Type::TENSOR_FLOAT16, {0}); // Phase 1, operands - auto scores1 = model->addOperand(&type71); - auto roi1 = model->addOperand(&type69); - auto param64 = model->addOperand(&type14); - auto param65 = model->addOperand(&type68); + auto scores1 = model->addOperand(&type77); + auto roi1 = model->addOperand(&type75); + auto param64 = model->addOperand(&type15); + auto param65 = model->addOperand(&type74); auto param66 = model->addOperand(&type2); auto param67 = model->addOperand(&type2); - auto param68 = model->addOperand(&type68); - auto param69 = model->addOperand(&type68); - auto param70 = model->addOperand(&type68); - auto scoresOut1 = model->addOperand(&type77); - auto roiOut1 = model->addOperand(&type70); - auto classesOut1 = model->addOperand(&type12); - auto batchSplitOut1 = model->addOperand(&type12); - auto in1 = model->addOperand(&type66); + auto param68 = model->addOperand(&type74); + auto param69 = model->addOperand(&type74); + auto param70 = model->addOperand(&type74); + auto scoresOut1 = model->addOperand(&type83); + auto roiOut1 = model->addOperand(&type76); + auto classesOut1 = model->addOperand(&type13); + auto batchSplitOut1 = model->addOperand(&type13); + auto in1 = model->addOperand(&type72); auto param71 = model->addOperand(&type2); auto param72 = model->addOperand(&type2); - auto param73 = model->addOperand(&type68); - auto param74 = model->addOperand(&type68); + auto param73 = model->addOperand(&type74); + auto param74 = model->addOperand(&type74); auto param75 = model->addOperand(&type2); auto param76 = model->addOperand(&type2); auto layout = model->addOperand(&type0); - auto featureMap1 = model->addOperand(&type75); + auto featureMap1 = model->addOperand(&type81); auto param77 = model->addOperand(&type2); auto param78 = model->addOperand(&type2); auto param79 = model->addOperand(&type2); auto param80 = model->addOperand(&type2); auto param81 = model->addOperand(&type2); auto param82 = model->addOperand(&type2); - auto out1 = model->addOperand(&type25); + auto out1 = model->addOperand(&type26); // Phase 2, operations static _Float16 scores1_init[] = {0.8999999761581421f, 0.10000000149011612f}; model->setOperandValue(scores1, scores1_init, sizeof(_Float16) * 2); diff --git a/nn/runtime/test/generated/vts_models/avg_pool_v1_2.model.cpp b/nn/runtime/test/generated/vts_models/avg_pool_v1_2.model.cpp index f5253f801..ac383ea83 100644 --- a/nn/runtime/test/generated/vts_models/avg_pool_v1_2.model.cpp +++ b/nn/runtime/test/generated/vts_models/avg_pool_v1_2.model.cpp @@ -2396,7 +2396,7 @@ Model createTestModel_nhwc_2() { }, { .type = OperandType::TENSOR_FLOAT32, - .dimensions = {5, 11, 13, 3}, + .dimensions = {5, 16, 18, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, @@ -2416,7 +2416,7 @@ Model createTestModel_nhwc_2() { const std::vector<uint32_t> inputIndexes = {0}; const std::vector<uint32_t> outputIndexes = {11}; std::vector<uint8_t> operandValues = { - 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 100, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0 + 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 35, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 0 }; const std::vector<hidl_memory> pools = {}; @@ -2539,7 +2539,7 @@ Model createTestModel_nhwc_relaxed_2() { }, { .type = OperandType::TENSOR_FLOAT32, - .dimensions = {5, 11, 13, 3}, + .dimensions = {5, 16, 18, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, @@ -2559,7 +2559,7 @@ Model createTestModel_nhwc_relaxed_2() { const std::vector<uint32_t> inputIndexes = {0}; const std::vector<uint32_t> outputIndexes = {11}; std::vector<uint8_t> operandValues = { - 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 100, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0 + 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 35, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 0 }; const std::vector<hidl_memory> pools = {}; @@ -2683,7 +2683,7 @@ Model createTestModel_nhwc_float16_2() { }, { .type = OperandType::TENSOR_FLOAT16, - .dimensions = {5, 11, 13, 3}, + .dimensions = {5, 16, 18, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, @@ -2703,7 +2703,7 @@ Model createTestModel_nhwc_float16_2() { const std::vector<uint32_t> inputIndexes = {0}; const std::vector<uint32_t> outputIndexes = {11}; std::vector<uint8_t> operandValues = { - 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 100, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0 + 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 35, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 0 }; const std::vector<hidl_memory> pools = {}; @@ -2826,7 +2826,7 @@ Model createTestModel_nhwc_quant8_2() { }, { .type = OperandType::TENSOR_QUANT8_ASYMM, - .dimensions = {5, 11, 13, 3}, + .dimensions = {5, 16, 18, 3}, .numberOfConsumers = 0, .scale = 0.5f, .zeroPoint = 0, @@ -2846,7 +2846,7 @@ Model createTestModel_nhwc_quant8_2() { const std::vector<uint32_t> inputIndexes = {0}; const std::vector<uint32_t> outputIndexes = {11}; std::vector<uint8_t> operandValues = { - 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 100, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0 + 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 35, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 0 }; const std::vector<hidl_memory> pools = {}; @@ -2969,7 +2969,7 @@ Model createTestModel_nchw_2() { }, { .type = OperandType::TENSOR_FLOAT32, - .dimensions = {5, 3, 11, 13}, + .dimensions = {5, 3, 16, 18}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, @@ -2989,7 +2989,7 @@ Model createTestModel_nchw_2() { const std::vector<uint32_t> inputIndexes = {0}; const std::vector<uint32_t> outputIndexes = {11}; std::vector<uint8_t> operandValues = { - 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 100, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 1 + 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 35, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 1 }; const std::vector<hidl_memory> pools = {}; @@ -3112,7 +3112,7 @@ Model createTestModel_nchw_relaxed_2() { }, { .type = OperandType::TENSOR_FLOAT32, - .dimensions = {5, 3, 11, 13}, + .dimensions = {5, 3, 16, 18}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, @@ -3132,7 +3132,7 @@ Model createTestModel_nchw_relaxed_2() { const std::vector<uint32_t> inputIndexes = {0}; const std::vector<uint32_t> outputIndexes = {11}; std::vector<uint8_t> operandValues = { - 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 100, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 1 + 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 35, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 1 }; const std::vector<hidl_memory> pools = {}; @@ -3256,7 +3256,7 @@ Model createTestModel_nchw_float16_2() { }, { .type = OperandType::TENSOR_FLOAT16, - .dimensions = {5, 3, 11, 13}, + .dimensions = {5, 3, 16, 18}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, @@ -3276,7 +3276,7 @@ Model createTestModel_nchw_float16_2() { const std::vector<uint32_t> inputIndexes = {0}; const std::vector<uint32_t> outputIndexes = {11}; std::vector<uint8_t> operandValues = { - 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 100, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 1 + 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 35, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 1 }; const std::vector<hidl_memory> pools = {}; @@ -3399,7 +3399,7 @@ Model createTestModel_nchw_quant8_2() { }, { .type = OperandType::TENSOR_QUANT8_ASYMM, - .dimensions = {5, 3, 11, 13}, + .dimensions = {5, 3, 16, 18}, .numberOfConsumers = 0, .scale = 0.5f, .zeroPoint = 0, @@ -3419,7 +3419,7 @@ Model createTestModel_nchw_quant8_2() { const std::vector<uint32_t> inputIndexes = {0}; const std::vector<uint32_t> outputIndexes = {11}; std::vector<uint8_t> operandValues = { - 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 100, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 1 + 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 35, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 1 }; const std::vector<hidl_memory> pools = {}; @@ -3562,7 +3562,7 @@ Model createTestModel_dynamic_output_shape_nhwc_2() { const std::vector<uint32_t> inputIndexes = {0}; const std::vector<uint32_t> outputIndexes = {11}; std::vector<uint8_t> operandValues = { - 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 100, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0 + 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 35, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 0 }; const std::vector<hidl_memory> pools = {}; @@ -3705,7 +3705,7 @@ Model createTestModel_dynamic_output_shape_nhwc_relaxed_2() { const std::vector<uint32_t> inputIndexes = {0}; const std::vector<uint32_t> outputIndexes = {11}; std::vector<uint8_t> operandValues = { - 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 100, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0 + 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 35, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 0 }; const std::vector<hidl_memory> pools = {}; @@ -3849,7 +3849,7 @@ Model createTestModel_dynamic_output_shape_nhwc_float16_2() { const std::vector<uint32_t> inputIndexes = {0}; const std::vector<uint32_t> outputIndexes = {11}; std::vector<uint8_t> operandValues = { - 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 100, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0 + 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 35, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 0 }; const std::vector<hidl_memory> pools = {}; @@ -3992,7 +3992,7 @@ Model createTestModel_dynamic_output_shape_nhwc_quant8_2() { const std::vector<uint32_t> inputIndexes = {0}; const std::vector<uint32_t> outputIndexes = {11}; std::vector<uint8_t> operandValues = { - 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 100, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0 + 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 35, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 0 }; const std::vector<hidl_memory> pools = {}; @@ -4135,7 +4135,7 @@ Model createTestModel_dynamic_output_shape_nchw_2() { const std::vector<uint32_t> inputIndexes = {0}; const std::vector<uint32_t> outputIndexes = {11}; std::vector<uint8_t> operandValues = { - 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 100, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 1 + 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 35, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 1 }; const std::vector<hidl_memory> pools = {}; @@ -4278,7 +4278,7 @@ Model createTestModel_dynamic_output_shape_nchw_relaxed_2() { const std::vector<uint32_t> inputIndexes = {0}; const std::vector<uint32_t> outputIndexes = {11}; std::vector<uint8_t> operandValues = { - 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 100, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 1 + 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 35, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 1 }; const std::vector<hidl_memory> pools = {}; @@ -4422,7 +4422,7 @@ Model createTestModel_dynamic_output_shape_nchw_float16_2() { const std::vector<uint32_t> inputIndexes = {0}; const std::vector<uint32_t> outputIndexes = {11}; std::vector<uint8_t> operandValues = { - 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 100, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 1 + 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 35, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 1 }; const std::vector<hidl_memory> pools = {}; @@ -4565,7 +4565,7 @@ Model createTestModel_dynamic_output_shape_nchw_quant8_2() { const std::vector<uint32_t> inputIndexes = {0}; const std::vector<uint32_t> outputIndexes = {11}; std::vector<uint8_t> operandValues = { - 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 50, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 100, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 1 + 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 30, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 35, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 1 }; const std::vector<hidl_memory> pools = {}; diff --git a/nn/runtime/test/specs/V1_2/avg_pool_v1_2.mod.py b/nn/runtime/test/specs/V1_2/avg_pool_v1_2.mod.py index 43083f91d..b37a0dd79 100644 --- a/nn/runtime/test/specs/V1_2/avg_pool_v1_2.mod.py +++ b/nn/runtime/test/specs/V1_2/avg_pool_v1_2.mod.py @@ -40,8 +40,10 @@ row = 52 col = 60 chn = 3 std = 5 -flt = 100 -pad = 50 +# This was lowered from values in avg_pool_float_2, as it wasn't possible +# to evaluate it with expected accuracy requirements with fp16 accumulator. +flt = 35 +pad = 30 output_row = (row + 2 * pad - flt + std) // std output_col = (col + 2 * pad - flt + std) // std |