mirror of
https://github.com/ROCm/composable_kernel.git
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aa3e2d7967
* added working example for 5D input using 1D kernel * example with 5D input tensor and 2d kernel - not working: issues with arguments * added updated version of 3d device op - changed descriptors/dims * added example file to check kernel * fixed descriptor and isSupportedArgument stride problem * added and modified kernel for 3d - updated tids/loop * adding some more 5d example files * fixed some issues * changes made for testing * working version: fixed error in stride for A, still a bit inefficient * cleaned up formatting/comments * updating formatting * more formatting fixes * fixing cmake, adding back gpu targets in cmake script * adding client example * added instances for client example * fixed errors in client example * implemented client ex with device_elementwise.hpp and device_elementwise_3d_impl.hpp * removed extra files * minor formatting and naming fixes * adding test files and profiler * fixing minor error * minor fix * removed unneccesary comments, renamed files * updated instance list for client example, added different layout example * removing instances * fixed error in instance generation * remove comments * update profiler and client example tensor layouts * fixed errors in test/profiler * updated vector dim access to enable vector load * updated test/profiler files * updated example with 1d kernel * updating profiler * renamed files * disabled device op for MI300 * skip elementwise_permute_2d on gfx94x * Update CMakeLists.txt * fixing CMake - disabling some GPU targets * added transpose profiler to CMake * fixed transpose profiler errors * fixed instances for tests/profiler * cleaned up code in transpose profiler source code * added some comments, updated copyright * made function arguments const where possible --------- Co-authored-by: Jing Zhang <jizha@amd.com> Co-authored-by: Jing Zhang <jizhan@amd.com> Co-authored-by: zjing14 <zhangjing14@gmail.com>
36 lines
1.1 KiB
C++
36 lines
1.1 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
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#include "gtest/gtest.h"
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#include "profiler/profile_transpose_impl.hpp"
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using F16 = ck::half_t;
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using F32 = float;
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using ck::index_t;
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template <typename Tuple>
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class TestTranspose : public ::testing::Test
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{
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protected:
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using ADataType = std::tuple_element_t<0, Tuple>;
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using BDataType = std::tuple_element_t<1, Tuple>;
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void Run()
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{
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std::vector<std::vector<ck::index_t>> lengths = {
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{4, 16, 16, 32, 5}, {8, 16, 16, 32, 8} /**{32, 16, 16, 32, 8},**/};
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for(auto length : lengths)
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{
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bool success = ck::profiler::profile_transpose_impl<ADataType, BDataType, 5>(
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true, 2, false, false, length);
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EXPECT_TRUE(success);
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}
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}
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};
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using KernelTypes = ::testing::Types<std::tuple<F16, F16>, std::tuple<F32, F32>>;
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TYPED_TEST_SUITE(TestTranspose, KernelTypes);
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TYPED_TEST(TestTranspose, Test_FP16) { this->Run(); }
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TYPED_TEST(TestTranspose, Test_FP32) { this->Run(); }
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