/******************************************************************************* * * MIT License * * Copyright (c) 2024 Advanced Micro Devices, Inc. * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. * *******************************************************************************/ #include #include #include "unit_TensorDescriptor.hpp" #include namespace { struct TensorOpProblemDescriptionTestCase { miopenTensorOp_t tensorOp; float beta; miopen::unit_tests::TensorDescriptorParams aTensorDesc; miopen::unit_tests::TensorDescriptorParams bTensorDesc; miopen::unit_tests::TensorDescriptorParams cTensorDesc; bool nonStandardSquash; bool isOk; friend std::ostream& operator<<(std::ostream& os, const TensorOpProblemDescriptionTestCase& tc) { std::string op; switch(tc.tensorOp) { case miopenTensorOpAdd: op.append("miopenTensorOpAdd"); break; case miopenTensorOpMul: op.append("miopenTensorOpMul"); break; case miopenTensorOpMin: op.append("miopenTensorOpMin"); break; case miopenTensorOpMax: op.append("miopenTensorOpMax"); break; } os << "(" << tc.aTensorDesc << "), "; os << "(" << tc.bTensorDesc << "), "; os << "(" << tc.cTensorDesc << "), \n"; os << "(" << op << ") - beta "; os << std::to_string(tc.beta) << ")\n"; return os; } }; class TestTensorOpPD : public ::testing::TestWithParam { public: static auto GetTestCases() { using TestCase = TensorOpProblemDescriptionTestCase; return std::vector{ // clang-format off // 4D TestCase{ miopenTensorOpAdd, // tensorOp 0.0f, // beta {miopenHalf, {1, 4, 4, 4}}, // A {miopenHalf, {1, 4, 4, 4}}, // B {miopenHalf, {1, 4, 4, 4}}, // C false, // nonStandardSquash true // isOk }, TestCase{ miopenTensorOpAdd, // tensorOp 0.0f, // beta {miopenHalf, {4, 4, 4}}, // A {miopenHalf, {1, 1, 4}}, // B {miopenHalf, {4, 4, 4}}, // C false, // nonStandardSquash false // isOk }, TestCase{ miopenTensorOpAdd, // tensorOp 1.0f, // beta {miopenHalf, {4, 1, 4}}, // A {miopenHalf, {1, 1, 4}}, // B {miopenHalf, {4, 4, 4}}, // C false, // nonStandardSquash false // isOk }, TestCase{ miopenTensorOpAdd, // tensorOp 1.0f, // beta {miopenHalf, {4, 4, 4}}, // A {miopenHalf, {1, 1, 4}}, // B {miopenFloat, {4, 4, 4}}, // C false, // nonStandardSquash false // isOk }, TestCase{ miopenTensorOpAdd, // tensorOp 1.0f, // beta {miopenHalf, {4, 4, 4, 4, 4, 4}},// A {miopenHalf, {1, 1, 4}}, // B {miopenHalf, {4, 4, 4, 4, 4, 4}},// C false, // nonStandardSquash false // isOk }, TestCase{ miopenTensorOpAdd, // tensorOp 1.0f, // beta {miopenHalf, {4, 4, 4}}, // A {miopenHalf, {1, 4}}, // B {miopenHalf, {4, 4, 4}}, // C false, // nonStandardSquash false // isOk }, TestCase{ miopenTensorOpAdd, // tensorOp 1.0f, // beta {miopenHalf, {4, 4, 4}}, // A {miopenHalf, {1, 1, 5}}, // B {miopenHalf, {4, 4, 4}}, // C false, // nonStandardSquash false // isOk }, TestCase{ miopenTensorOpAdd, // tensorOp 1.0f, // beta {miopenHalf, {4, 4, 4, 4}}, // A {miopenHalf, {1, 1, 4, 4}}, // B {miopenHalf, {4, 4, 4, 4}}, // C true, // nonStandardSquash false // isOk }, TestCase{ miopenTensorOpAdd, // tensorOp 1.0f, // beta {miopenHalf, {1, 4, 2}}, // A {miopenHalf, {1, 1, 4}}, // B {miopenHalf, {1, 4, 2}}, // C true, // nonStandardSquash false // isOk } // clang-format on }; } void RunTest() { const auto p = GetParam(); if(p.isOk) { const auto pd = miopen::tensorOp::ProblemDescription{p.tensorOp, static_cast(&p.beta), p.aTensorDesc.GetTensorDescriptor(), p.bTensorDesc.GetTensorDescriptor(), p.cTensorDesc.GetTensorDescriptor(), p.nonStandardSquash}; ASSERT_EQ(pd.GetBeta(), p.beta); } else { ASSERT_ANY_THROW({ const auto pd = miopen::tensorOp::ProblemDescription( p.tensorOp, miopen::float_equal(p.beta, 0.0) ? nullptr : static_cast(&p.beta), p.aTensorDesc.GetTensorDescriptor(), p.bTensorDesc.GetTensorDescriptor(), p.cTensorDesc.GetTensorDescriptor(), p.nonStandardSquash); }); } } }; } // namespace using CPU_TensorOpProblemDescription_NONE = TestTensorOpPD; TEST_P(CPU_TensorOpProblemDescription_NONE, TensorOpProblemDescription) { this->RunTest(); }; INSTANTIATE_TEST_SUITE_P(Full, CPU_TensorOpProblemDescription_NONE, testing::ValuesIn(TestTensorOpPD::GetTestCases()));