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https://github.com/ROCm/composable_kernel.git
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d41b1a7c2c
* 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
[ROCm/composable_kernel commit: 93c99f3d87]
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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