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https://github.com/ROCm/composable_kernel.git
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93c99f3d87
* use 'sweep once' softmax kernel where applicable * threadwise copy's dst buffer can specify invalid element value * add int8 in/out float compute softmax support give a bit of leeway for int absolute tolerance as there's a single data point of all test cases showing off-by-1 error * format * softmax inherits DeviceNormalization * softmax profiler stub * tighten up reference softmax interface * example prints tensor dimension * add fp32 to softmax profiler * rename header * hook with ckProfiler * format * resolve merge conflict * resolve merge conflicts * update normalization profiler help string * resolve conflict * typo * remove residual * softmax profiler: address feedback * test for mixed precision input/output * fully qualify ck::math::isnan * add comment for device normalization interface * revise wording * constness for alpha/beta scaler pointer
31 lines
1.8 KiB
C++
31 lines
1.8 KiB
C++
#include "gtest/gtest.h"
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#include "test_softmax_util.hpp"
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template <ck::index_t N>
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using I = ck::Number<N>;
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template <typename Tuple>
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class TestSoftmaxINT8 : public ck::TestSoftmax<Tuple>
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{
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};
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// clang-format off
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using KernelTypes = ::testing::Types<
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// InDataType, AccDataType, OutDataType, Rank, NumReduceDim, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, InSrcVectorDim, InSrcVectorSize, OutDstVectorSize>
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std::tuple<int8_t, float, int8_t, I<3>, I<1>, I<256>, I<8>, I<32>, I<1>, I<16>, I<1>, I<16>, I<16>>,
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std::tuple<int8_t, float, int8_t, I<3>, I<1>, I<256>, I<4>, I<64>, I<1>, I<16>, I<1>, I<16>, I<16>>,
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std::tuple<int8_t, float, int8_t, I<3>, I<1>, I<256>, I<2>, I<128>, I<1>, I<16>, I<1>, I<16>, I<16>>,
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std::tuple<int8_t, float, int8_t, I<3>, I<1>, I<256>, I<1>, I<256>, I<1>, I<16>, I<1>, I<16>, I<16>>,
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std::tuple<int8_t, float, int8_t, I<3>, I<1>, I<256>, I<1>, I<256>, I<1>, I<32>, I<1>, I<16>, I<16>>,
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std::tuple<int8_t, float, int8_t, I<3>, I<1>, I<256>, I<1>, I<256>, I<1>, I<64>, I<1>, I<16>, I<16>>,
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std::tuple<int8_t, float, int8_t, I<3>, I<2>, I<256>, I<8>, I<32>, I<1>, I<16>, I<1>, I<16>, I<16>>,
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std::tuple<int8_t, float, int8_t, I<3>, I<2>, I<256>, I<4>, I<64>, I<1>, I<16>, I<1>, I<16>, I<16>>,
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std::tuple<int8_t, float, int8_t, I<3>, I<2>, I<256>, I<2>, I<128>, I<1>, I<16>, I<1>, I<16>, I<16>>,
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std::tuple<int8_t, float, int8_t, I<3>, I<2>, I<256>, I<1>, I<256>, I<1>, I<16>, I<1>, I<16>, I<16>>,
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std::tuple<int8_t, float, int8_t, I<3>, I<2>, I<256>, I<1>, I<256>, I<1>, I<32>, I<1>, I<16>, I<16>>,
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std::tuple<int8_t, float, int8_t, I<3>, I<2>, I<256>, I<1>, I<256>, I<1>, I<64>, I<1>, I<16>, I<16>>
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>;
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// clang-format on
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TYPED_TEST_SUITE(TestSoftmaxINT8, KernelTypes);
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TYPED_TEST(TestSoftmaxINT8, Test_INT8) { this->Run(); }
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