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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

106 lines
4.5 KiB
C++

// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT
#include "gtest/gtest.h"
#include "profiler/profile_pool3d_fwd_impl.hpp"
#include "test_pool_fwd_common.hpp"
static ck::index_t param_mask = 0xffff;
static ck::index_t instance_index = -1;
template <typename Tuple>
class TestMaxPool3dFwd : public ::testing::Test
{
protected:
using InDataType = std::tuple_element_t<0, Tuple>;
using OutDataType = std::tuple_element_t<1, Tuple>;
using ComputeDataType = std::tuple_element_t<2, Tuple>;
using IndexDataType = std::tuple_element_t<3, Tuple>;
std::vector<PoolingParam> params;
ck::profiler::PoolFwdInputParams in_params_max_pool{true, 2, false, false, false, 0};
ck::profiler::PoolFwdInputParams in_params_max_pool_indexed{true, 2, false, false, true, 0};
void Run()
{
for(size_t i = 0; i < this->params.size(); i++)
{
if((param_mask & (1 << i)) == 0)
{
continue;
}
auto& param = this->params[i];
ck::profiler::PoolFwdKernelParams kernel_params{param.length_,
param.window_spatial_lengths_,
param.window_strides_,
param.window_dilations_,
param.input_left_pads_,
param.input_right_pads_};
// max pool
bool success =
ck::profiler::profile_pool3d_fwd_impl<InDataType,
OutDataType,
ComputeDataType,
IndexDataType,
ck::tensor_layout::convolution::NDHWC,
ck::tensor_layout::convolution::NDHWC,
ck::ReduceTensorOp::MAX,
false,
false>(
in_params_max_pool, kernel_params, instance_index);
EXPECT_TRUE(success);
// max pool + index
success = ck::profiler::profile_pool3d_fwd_impl<InDataType,
OutDataType,
ComputeDataType,
IndexDataType,
ck::tensor_layout::convolution::NDHWC,
ck::tensor_layout::convolution::NDHWC,
ck::ReduceTensorOp::MAX,
false,
true>(
in_params_max_pool_indexed, kernel_params, instance_index);
EXPECT_TRUE(success);
}
}
};
using KernelTypes = ::testing::Types<std::tuple<I8, I8, I8, I32>,
std::tuple<F8, F8, F8, I32>,
std::tuple<F16, F16, F16, I32>,
std::tuple<BF16, BF16, BF16, I32>,
std::tuple<F32, F32, F32, I32>>;
TYPED_TEST_SUITE(TestMaxPool3dFwd, KernelTypes);
TYPED_TEST(TestMaxPool3dFwd, Test_Pool)
{
// length, window_length, window_stride, window_dilation, left_pad, right_pad
this->params = {{{1, 1, 1, 1, 1}, {1, 1, 1}, {1, 1, 1}, {1, 1, 1}, {0, 0, 0}, {0, 0, 0}},
{{2, 16, 64, 64, 64}, {64, 64, 64}, {1, 1, 1}, {1, 1, 1}, {0, 0, 0}, {0, 0, 0}},
{{2, 16, 64, 64, 64}, {4, 4, 4}, {4, 4, 4}, {2, 2, 2}, {0, 0, 0}, {0, 0, 0}},
{{2, 32, 30, 30, 30}, {2, 2, 2}, {2, 2, 2}, {1, 1, 1}, {1, 1, 1}, {1, 1, 1}}};
this->Run();
}
int main(int argc, char** argv)
{
testing::InitGoogleTest(&argc, argv);
if(argc == 1) {}
else if(argc == 3)
{
param_mask = strtol(argv[1], nullptr, 0);
instance_index = atoi(argv[2]);
}
else
{
std::cout << "Usage of " << argv[0] << std::endl;
std::cout << "Arg1,2: param_mask instance_index(-1 means all)" << std::endl;
}
return RUN_ALL_TESTS();
}