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144 lines
6.0 KiB
C++
144 lines
6.0 KiB
C++
/*******************************************************************************
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*
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* MIT License
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*
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* Copyright (c) 2024 Advanced Micro Devices, Inc.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*
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*******************************************************************************/
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#include <gtest/gtest.h>
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#include <miopen/tensor.hpp>
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#include <miopen/tensor_ops.hpp>
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#include "get_handle.hpp"
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#include "tensor_holder.hpp"
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#include "tensor_util.hpp"
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#include "verify.hpp"
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namespace {
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using UnaryTensorOpsCase = std::tuple<std::vector<size_t>, int>;
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template <typename T>
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class GPU_unaryTensorOps : public ::testing::TestWithParam<UnaryTensorOpsCase>
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{
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public:
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static tensor<T> superTensor;
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static void SetUpTestSuite()
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{
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uint64_t max_value = miopen_type<T>{} == miopenHalf ? 5 : 17;
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superTensor = tensor<T>{std::vector<size_t>{32, 32, 16, 16, 16}}.generate(
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tensor_elem_gen_integer{max_value});
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}
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protected:
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const T alpha = static_cast<T>(2.048);
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size_t dataSize;
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miopen::TensorDescriptor subDesc;
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void SetUp() override
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{
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const auto& [lens, offset] = GetParam();
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ASSERT_GE(superTensor.desc.GetNumDims(), lens.size());
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const std::vector<size_t>& superStrides = superTensor.desc.GetStrides();
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std::vector<size_t> strides(superStrides.begin() +
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(superTensor.desc.GetNumDims() - lens.size()),
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superStrides.end());
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subDesc = miopen::TensorDescriptor(miopen_type<T>{}, lens, strides);
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dataSize = subDesc.GetElementSpace() + offset;
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ASSERT_GE(superTensor.desc.GetElementSpace(), dataSize);
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}
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template <typename DataOp, typename GpuOp>
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void Run(DataOp&& dataOp, GpuOp&& gpuOp)
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{
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std::vector<T> superCpu(superTensor.begin(), superTensor.begin() + dataSize);
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auto offset = std::get<int>(GetParam());
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auto&& handle = get_handle();
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auto super_dev = handle.Write(superCpu);
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gpuOp(handle, subDesc, super_dev.get(), &alpha, offset);
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auto result = handle.Read<T>(super_dev, dataSize);
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operate_over_subtensor(dataOp, superCpu, subDesc, offset);
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auto mismatch_index = miopen::mismatch_idx(superCpu, result, miopen::float_equal);
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ASSERT_EQ(result.size(), mismatch_index)
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<< "The first mismatched elements are:" //
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<< " GPU[" << mismatch_index << "] " << result[mismatch_index] //
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<< " Ref[" << mismatch_index << "] " << superCpu[mismatch_index]; //
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}
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void RunScale()
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{
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Run([a = alpha](auto& val) { val *= a; },
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[](auto&&... params) { miopen::ScaleTensor(params...); });
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}
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void RunSet()
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{
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Run([a = alpha](auto& val) { val = a; },
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[](auto&&... params) { miopen::SetTensor(params...); });
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}
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void TearDown() override {}
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};
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template <typename T>
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tensor<T> GPU_unaryTensorOps<T>::superTensor;
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} // namespace
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using float16 = half_float::half;
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#define X_CONCAT_FIRST_SECOND_(first, second) first##second
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#define X_INSTANTIATE(TEST_TYPE, REAL_TYPE, ...) \
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using GPU_unaryTensorOps_##TEST_TYPE = GPU_unaryTensorOps<REAL_TYPE>; \
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TEST_P(GPU_unaryTensorOps_##TEST_TYPE, X_CONCAT_FIRST_SECOND_(__VA_ARGS__, TestTensorScale)) \
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{ \
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RunScale(); \
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}; \
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TEST_P(GPU_unaryTensorOps_##TEST_TYPE, TestTensorSet) { RunSet(); }; \
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\
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INSTANTIATE_TEST_SUITE_P( \
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Smoke, \
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GPU_unaryTensorOps_##TEST_TYPE, \
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testing::Combine(testing::Values(std::vector<size_t>{32, 8, 10}), testing::Values(7))); \
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\
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INSTANTIATE_TEST_SUITE_P(Full, \
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GPU_unaryTensorOps_##TEST_TYPE, \
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testing::Combine(testing::ValuesIn(get_sub_tensor<size_t>()), \
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testing::ValuesIn(get_tensor_offset())));
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X_INSTANTIATE(FP32, float);
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X_INSTANTIATE(FP16, float16);
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X_INSTANTIATE(I32, int);
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X_INSTANTIATE(I8, int8_t, DISABLED_); // disable Scale for int8
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X_INSTANTIATE(BFP16, bfloat16, DISABLED_); // disable Scale for bfloat16
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#undef X_INSTANTIATE
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#undef X_CONCAT_FIRST_SECOND_
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