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//
// Copyright (c) 2021 The Khronos Group Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
#include "procs.h"
#include "subhelpers.h"
#include "subgroup_common_templates.h"
#include "harness/typeWrappers.h"
namespace {
std::string sub_group_clustered_reduce_source = R"(
__kernel void test_%s(const __global Type *in, __global int4 *xy, __global Type *out,
uint cluster_size) {
Type r;
int gid = get_global_id(0);
XY(xy,gid);
xy[gid].w = 0;
Type v = in[gid];
if (sizeof(in[gid]) == sizeof(%s(v, 1))) {
xy[gid].w = sizeof(in[gid]);
}
switch (cluster_size) {
case 1: r = %s(v, 1); break;
case 2: r = %s(v, 2); break;
case 4: r = %s(v, 4); break;
case 8: r = %s(v, 8); break;
case 16: r = %s(v, 16); break;
case 32: r = %s(v, 32); break;
case 64: r = %s(v, 64); break;
case 128: r = %s(v, 128); break;
}
out[gid] = r;
}
)";
// DESCRIPTION:
// Test for reduce cluster functions
template <typename Ty, ArithmeticOp operation> struct RED_CLU
{
static void log_test(const WorkGroupParams &test_params,
const char *extra_text)
{
log_info(" sub_group_clustered_reduce_%s(%s, %d bytes) ...%s\n",
operation_names(operation), TypeManager<Ty>::name(),
sizeof(Ty), extra_text);
}
static void gen(Ty *x, Ty *t, cl_int *m, const WorkGroupParams &test_params)
{
int nw = test_params.local_workgroup_size;
int ns = test_params.subgroup_size;
int ng = test_params.global_workgroup_size;
ng = ng / nw;
generate_inputs<Ty, operation>(x, t, m, ns, nw, ng);
}
static test_status chk(Ty *x, Ty *y, Ty *mx, Ty *my, cl_int *m,
const WorkGroupParams &test_params)
{
int nw = test_params.local_workgroup_size;
int ns = test_params.subgroup_size;
int ng = test_params.global_workgroup_size;
int nj = (nw + ns - 1) / ns;
ng = ng / nw;
for (int k = 0; k < ng; ++k)
{
std::vector<cl_int> data_type_sizes;
// Map to array indexed to array indexed by local ID and sub group
for (int j = 0; j < nw; ++j)
{
mx[j] = x[j];
my[j] = y[j];
data_type_sizes.push_back(m[4 * j + 3]);
}
for (cl_int dts : data_type_sizes)
{
if (dts != sizeof(Ty))
{
log_error("ERROR: sub_group_clustered_reduce_%s(%s) "
"wrong data type size detected, expected: %d, "
"used by device %d, in group %d\n",
operation_names(operation),
TypeManager<Ty>::name(), sizeof(Ty), dts, k);
return TEST_FAIL;
}
}
for (int j = 0; j < nj; ++j)
{
int ii = j * ns;
int n = ii + ns > nw ? nw - ii : ns;
std::vector<Ty> clusters_results;
int clusters_counter = ns / test_params.cluster_size;
clusters_results.resize(clusters_counter);
// Compute target
Ty tr = mx[ii];
for (int i = 0; i < n; ++i)
{
if (i % test_params.cluster_size == 0)
tr = mx[ii + i];
else
tr = calculate<Ty>(tr, mx[ii + i], operation);
clusters_results[i / test_params.cluster_size] = tr;
}
// Check result
for (int i = 0; i < n; ++i)
{
Ty rr = my[ii + i];
tr = clusters_results[i / test_params.cluster_size];
if (!compare(rr, tr))
{
log_error(
"ERROR: sub_group_clustered_reduce_%s(%s, %u) "
"mismatch for local id %d in sub group %d in group "
"%d\n",
operation_names(operation), TypeManager<Ty>::name(),
test_params.cluster_size, i, j, k);
return TEST_FAIL;
}
}
}
x += nw;
y += nw;
m += 4 * nw;
}
return TEST_PASS;
}
};
template <typename T>
int run_cluster_red_add_max_min_mul_for_type(RunTestForType rft)
{
int error = rft.run_impl<T, RED_CLU<T, ArithmeticOp::add_>>(
"sub_group_clustered_reduce_add");
error |= rft.run_impl<T, RED_CLU<T, ArithmeticOp::max_>>(
"sub_group_clustered_reduce_max");
error |= rft.run_impl<T, RED_CLU<T, ArithmeticOp::min_>>(
"sub_group_clustered_reduce_min");
error |= rft.run_impl<T, RED_CLU<T, ArithmeticOp::mul_>>(
"sub_group_clustered_reduce_mul");
return error;
}
template <typename T> int run_cluster_and_or_xor_for_type(RunTestForType rft)
{
int error = rft.run_impl<T, RED_CLU<T, ArithmeticOp::and_>>(
"sub_group_clustered_reduce_and");
error |= rft.run_impl<T, RED_CLU<T, ArithmeticOp::or_>>(
"sub_group_clustered_reduce_or");
error |= rft.run_impl<T, RED_CLU<T, ArithmeticOp::xor_>>(
"sub_group_clustered_reduce_xor");
return error;
}
template <typename T>
int run_cluster_logical_and_or_xor_for_type(RunTestForType rft)
{
int error = rft.run_impl<T, RED_CLU<T, ArithmeticOp::logical_and>>(
"sub_group_clustered_reduce_logical_and");
error |= rft.run_impl<T, RED_CLU<T, ArithmeticOp::logical_or>>(
"sub_group_clustered_reduce_logical_or");
error |= rft.run_impl<T, RED_CLU<T, ArithmeticOp::logical_xor>>(
"sub_group_clustered_reduce_logical_xor");
return error;
}
}
int test_subgroup_functions_clustered_reduce(cl_device_id device,
cl_context context,
cl_command_queue queue,
int num_elements)
{
if (!is_extension_available(device, "cl_khr_subgroup_clustered_reduce"))
{
log_info("cl_khr_subgroup_clustered_reduce is not supported on this "
"device, skipping test.\n");
return TEST_SKIPPED_ITSELF;
}
constexpr size_t global_work_size = 2000;
constexpr size_t local_work_size = 200;
WorkGroupParams test_params(global_work_size, local_work_size, -1, 3);
test_params.save_kernel_source(sub_group_clustered_reduce_source);
RunTestForType rft(device, context, queue, num_elements, test_params);
int error = run_cluster_red_add_max_min_mul_for_type<cl_int>(rft);
error |= run_cluster_red_add_max_min_mul_for_type<cl_uint>(rft);
error |= run_cluster_red_add_max_min_mul_for_type<cl_long>(rft);
error |= run_cluster_red_add_max_min_mul_for_type<cl_ulong>(rft);
error |= run_cluster_red_add_max_min_mul_for_type<cl_short>(rft);
error |= run_cluster_red_add_max_min_mul_for_type<cl_ushort>(rft);
error |= run_cluster_red_add_max_min_mul_for_type<cl_char>(rft);
error |= run_cluster_red_add_max_min_mul_for_type<cl_uchar>(rft);
error |= run_cluster_red_add_max_min_mul_for_type<cl_float>(rft);
error |= run_cluster_red_add_max_min_mul_for_type<cl_double>(rft);
error |= run_cluster_red_add_max_min_mul_for_type<subgroups::cl_half>(rft);
error |= run_cluster_and_or_xor_for_type<cl_int>(rft);
error |= run_cluster_and_or_xor_for_type<cl_uint>(rft);
error |= run_cluster_and_or_xor_for_type<cl_long>(rft);
error |= run_cluster_and_or_xor_for_type<cl_ulong>(rft);
error |= run_cluster_and_or_xor_for_type<cl_short>(rft);
error |= run_cluster_and_or_xor_for_type<cl_ushort>(rft);
error |= run_cluster_and_or_xor_for_type<cl_char>(rft);
error |= run_cluster_and_or_xor_for_type<cl_uchar>(rft);
error |= run_cluster_logical_and_or_xor_for_type<cl_int>(rft);
return error;
}
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