diff options
Diffstat (limited to 'tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp')
| -rw-r--r-- | tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp | 435 |
1 files changed, 386 insertions, 49 deletions
diff --git a/tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp b/tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp index b8b586053b..dafc8dc5ec 100644 --- a/tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp +++ b/tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019-2020 ARM Limited. + * Copyright (c) 2019-2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -21,13 +21,13 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ -#include "arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h" -#include "arm_compute/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.h" #include "arm_compute/core/KernelDescriptors.h" #include "arm_compute/core/Types.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/runtime/CL/CLTensor.h" #include "arm_compute/runtime/CL/CLTensorAllocator.h" +#include "src/gpu/cl/kernels/ClGemmMatrixMultiplyReshapedOnlyRhsKernel.h" +#include "src/gpu/cl/kernels/ClGemmReshapeRhsMatrixKernel.h" #include "tests/CL/CLAccessor.h" #include "tests/CL/Helper.h" #include "tests/PaddingCalculator.h" @@ -45,12 +45,13 @@ namespace test namespace validation { using namespace arm_compute::misc::shape_calculator; +using namespace arm_compute::opencl::kernels; -// Create function for CLGEMMReshapeRHSMatrixKernel -using CLGEMMReshapeRHSMatrix = CLSynthetizeFunction<CLGEMMReshapeRHSMatrixKernel>; +// Create function for ClGemmReshapeRhsMatrixKernel +using CLGEMMReshapeRHSMatrix = CLSynthetizeOperator<ClGemmReshapeRhsMatrixKernel>; -// Create function for CLGEMMMatrixMultiplyReshapedOnlyRHSKernel -using CLGEMMMatrixMultiplyReshapedOnlyRHS = CLSynthetizeFunction<CLGEMMMatrixMultiplyReshapedOnlyRHSKernel>; +// Create function for ClGemmMatrixMultiplyReshapedOnlyRhsKernel +using CLGEMMMatrixMultiplyReshapedOnlyRHS = CLSynthetizeOperator<ClGemmMatrixMultiplyReshapedOnlyRhsKernel>; // Fixture for CLGEMMMatrixMultiplyReshapedOnlyRHS template <typename T> @@ -67,11 +68,14 @@ namespace RelativeTolerance<float> rel_tolerance_f32(0.001f); constexpr float abs_tolerance_f32(0.0001f); +RelativeTolerance<float> rel_tolerance_f16(0.001f); +constexpr float abs_tolerance_f16(0.01f); + /** Alpha values to test */ const auto a_values = framework::dataset::make("alpha", {-0.75f} ); /** Beta values to test */ -const auto beta_values = framework::dataset::make("beta", {-0.35f, 0.0f} ); +const auto beta_values = framework::dataset::make("beta", {-0.35f} ); /** M values to test */ const auto m_values = framework::dataset::make("M", 37); @@ -89,23 +93,32 @@ const auto n_values = framework::dataset::make("N", 51); const auto k_values = framework::dataset::make("K", 23); /** Batch size values to test */ -const auto b_values = framework::dataset::make("batch_size", 1, 3); +const auto b_values = framework::dataset::make("batch_size", 2); /** Activation values to test */ const auto act_values = framework::dataset::make("Activation", { - ActivationLayerInfo(), - ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 8.f, 2.f), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 10.f), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ELU), }); -/** M0 values to test */ -const auto m0_values = framework::dataset::make("M0", { 8 }); +/** M0 values to test - precommit */ +const auto m0_values_precommit = framework::dataset::make("M0", { 4 }); + +/** N0 values to test - precommit*/ +const auto n0_values_precommit = framework::dataset::make("N0", { 4 }); + +/** K0 values to test - precommit*/ +const auto k0_values_precommit = framework::dataset::make("K0", { 4 }); + +/** M0 values to test - nightly */ +const auto m0_values_nightly = framework::dataset::make("M0", { 8 }); -/** N0 values to test */ -const auto n0_values = framework::dataset::make("N0", { 16 }); +/** N0 values to test - nightly */ +const auto n0_values_nightly = framework::dataset::make("N0", { 16 }); -/** K0 values to test */ -const auto k0_values = framework::dataset::make("K0", { 16 }); +/** K0 values to test - nightly */ +const auto k0_values_nightly = framework::dataset::make("K0", { 16 }); /** H0 values to test */ const auto h0_values = framework::dataset::make("H0", 1, 3); @@ -119,10 +132,36 @@ const auto t_values_rhs = framework::dataset::make("transpose_rhs", { true, fals /** Broadcast bias from vector to matrix */ const auto broadcast_bias_values = framework::dataset::make("broadcast_bias", { false, true } ); +/** Boundary handling cases for testing partial/non-partial (full) block dimensions, resulting from different combinations + * of M, M0, N and N0 values. + * M0 and N0 are kept constant, while the different test cases need to vary M and N. + * + * Eg. M = 64 and N = 33 result in a block dimension that has no partial blocks (all full blocks) in Y dimension and + * parital blocks in X dimension. + */ +const auto boundary_handling_cases = combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( + // Large k to force potential out-of-bound reads on input0 + framework::dataset::make("K", 315), + // Batch size == 1 to force potential out-of-bound reads on input0 + framework::dataset::make("batch_size", 1)), + framework::dataset::make("M0", 4)), + framework::dataset::make("N0", 4)), + framework::dataset::make("K0", 4)), + framework::dataset::make("H0", 3)), + i_values_rhs), + t_values_rhs), + framework::dataset::make("export_to_cl_image_rhs", {true, false})), + // Only need to test F32 as F16 shares identical boundary handling logics + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("alpha", -0.75f )), + framework::dataset::make("beta", -0.35f )), + broadcast_bias_values), + framework::dataset::make("Activation", ActivationLayerInfo())); + /** Configuration test */ bool validate_configuration(unsigned int m_value, unsigned int n_value, unsigned int k_value, unsigned int b_value, unsigned int m0_value, unsigned int n0_value, unsigned int k0_value, unsigned int h0_value, - bool i_value_rhs, bool t_value_rhs, bool broadcast_bias, bool input_as_3d, unsigned int depth_output_gemm3d, const ActivationLayerInfo &act_info, + bool i_value_rhs, bool t_value_rhs, bool export_to_cl_image, bool broadcast_bias, bool input_as_3d, unsigned int depth_output_gemm3d, const ActivationLayerInfo &act_info, DataType dt_input0, DataType dt_input1, DataType dt_input2, DataType dt_output, float alpha, float beta) { const unsigned int M = m_value; @@ -139,6 +178,7 @@ bool validate_configuration(unsigned int m_value, unsigned int n_value, unsigned rhs_info.h0 = h0_value; rhs_info.interleave = i_value_rhs; rhs_info.transpose = t_value_rhs; + rhs_info.export_to_cl_image = export_to_cl_image; GEMMKernelInfo kernel_info; kernel_info.m = M; @@ -172,6 +212,7 @@ bool validate_configuration(unsigned int m_value, unsigned int n_value, unsigned CLGEMMMatrixMultiplyReshapedOnlyRHS gemm; return bool(gemm.validate(&lhs, &rhs_reshaped, &bias, &dst, alpha, beta, lhs_info, rhs_info, kernel_info)); } + } // namespace TEST_SUITE(CL) @@ -190,75 +231,371 @@ TEST_SUITE(GEMMMatrixMultiplyReshapedOnlyRHS) * - Unsupported bias addition: bias broadcast mode is 0 if the input or output has to be reinterpreted as 3D * - Incorrect bias diemension when bias broadcast mode is 1 and beta is not 0.0f, should be (n, 1), not (n, m) * - Incorrect input0 dimension when input is reinterpreted as 3D: input0->dimension(1) * input0->dimension(2) != m + * - Correct support for creating an OpenCL image object from buffer + * - Incorrect support for creating an OpenCL image object from buffer. N0 is 2 but it can only be 4,8 and 16 + * - Correct F16 support for creating an OpenCL image object from buffer. */ -DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip( -framework::dataset::make("batch_size", { 1, 1, 1, 1, 1, 1, 2 }), -framework::dataset::make("M0", { 4, 9, 4, 4, 4, 4, 4 })), -framework::dataset::make("N0", { 4, 4, 18, 4, 4, 4, 4 })), -framework::dataset::make("K0", { 4, 4, 4, 1, 4, 4, 4 })), -framework::dataset::make("broadcast_bias", { false, false, false, false, false, true, true })), -framework::dataset::make("input_as_3d", { 0, 0, 0, 0, 1, 0, 1 })), -framework::dataset::make("depth_output_gemm3d", { 0, 0, 0, 0, 0, 1, 0 })), -framework::dataset::make("data_type_input0", { DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32})), -framework::dataset::make("data_type_input1", { DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32})), -framework::dataset::make("data_type_input2", { DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32})), -framework::dataset::make("data_type_output", { DataType::F16, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32})), -framework::dataset::make("Beta", { 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f })), -framework::dataset::make("Expected", { false, false, false, false, false, false, false })), -b_value, m0_value, n0_value, k0_value, broadcast_bias, input_as_3d, depth_output_gemm3d, dt_input0, dt_intpu1, dt_input2, dt_output, beta, expected) +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip( +framework::dataset::make("batch_size", { 1, 1, 1, 1, 1, 1, 2, 1, 1, 1 }), +framework::dataset::make("M0", { 4, 9, 4, 4, 4, 4, 4, 4, 4, 4 })), +framework::dataset::make("N0", { 4, 4, 18, 4, 4, 4, 4, 8, 2, 8 })), +framework::dataset::make("K0", { 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 })), +framework::dataset::make("broadcast_bias", { false, false, false, false, false, true, true, false, false, false })), +framework::dataset::make("input_as_3d", { 0, 0, 0, 0, 1, 0, 1, 0, 0, 0 })), +framework::dataset::make("depth_output_gemm3d", { 0, 0, 0, 0, 0, 1, 0, 0, 0, 0 })), +framework::dataset::make("export_to_cl_image", { false, false, false, false, false, false, false, true, true, true })), +framework::dataset::make("data_type_input0", { DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F16})), +framework::dataset::make("data_type_input1", { DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F16})), +framework::dataset::make("data_type_input2", { DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F16})), +framework::dataset::make("data_type_output", { DataType::F16, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F32, DataType::F16})), +framework::dataset::make("Beta", { 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 1.0f, 0.0f , 1.0f})), +framework::dataset::make("Expected", { false, false, false, false, false, false, false, true, false, true })), +b_value, m0_value, n0_value, k0_value, broadcast_bias, input_as_3d, depth_output_gemm3d, export_to_cl_image, dt_input0, dt_intpu1, dt_input2, dt_output, beta, expected) { - bool status = validate_configuration(37, 51, 23, b_value, m0_value, n0_value, k0_value, 1, false, false, broadcast_bias, input_as_3d, depth_output_gemm3d, ActivationLayerInfo(), dt_input0, dt_intpu1, dt_input2, dt_output, 1.0f, beta); - ARM_COMPUTE_EXPECT(status == expected, framework::LogLevel::ERRORS); + bool expected_value = expected; + + // Change expected to false if the target platform does not support the OpenCL cl_khr_image2d_from_buffer extension + if(!image2d_from_buffer_supported(CLKernelLibrary::get().get_device()) && export_to_cl_image) + { + expected_value = false; + } + + bool status = validate_configuration(37, 51, 23, b_value, m0_value, n0_value, k0_value, 1, false, false, export_to_cl_image, broadcast_bias, input_as_3d, depth_output_gemm3d, ActivationLayerInfo(), dt_input0, dt_intpu1, dt_input2, dt_output, 1.0f, beta); + ARM_COMPUTE_EXPECT(status == expected_value, framework::LogLevel::ERRORS); } TEST_SUITE(Float) TEST_SUITE(FP32) -FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<float>, framework::DatasetMode::ALL, - combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( +FIXTURE_DATA_TEST_CASE(RunPrecommitBoundaryHandlingPartialInXPartialInY, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<float>, framework::DatasetMode::PRECOMMIT, + combine(combine( + framework::dataset::make("M", 3), + framework::dataset::make("N", 1)), + boundary_handling_cases)) +{ + // Validate output + if(validate_result) + { + validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); + } + else + { + ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped"); + framework::ARM_COMPUTE_PRINT_INFO(); + } +} + +FIXTURE_DATA_TEST_CASE(RunPrecommitBoundaryHandlingPartialInXFullInY, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<float>, framework::DatasetMode::PRECOMMIT, + combine(combine( + framework::dataset::make("M", 64), + framework::dataset::make("N", 43)), + boundary_handling_cases)) +{ + // Validate output + if(validate_result) + { + validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); + } + else + { + ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped"); + framework::ARM_COMPUTE_PRINT_INFO(); + } +} + +FIXTURE_DATA_TEST_CASE(RunPrecommitBoundaryHandlingFullInXFullInY, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<float>, framework::DatasetMode::PRECOMMIT, + combine(combine( + framework::dataset::make("M", 64), + framework::dataset::make("N", 32)), + boundary_handling_cases)) +{ + // Validate output + if(validate_result) + { + validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); + } + else + { + ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped"); + framework::ARM_COMPUTE_PRINT_INFO(); + } +} + +FIXTURE_DATA_TEST_CASE(RunPrecommitBoundaryHandlingFullInXPartialInY, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<float>, framework::DatasetMode::PRECOMMIT, + combine(combine( + framework::dataset::make("M", 37), + framework::dataset::make("N", 32)), + boundary_handling_cases)) +{ + // Validate output + if(validate_result) + { + validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); + } + else + { + ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped"); + framework::ARM_COMPUTE_PRINT_INFO(); + } +} + +FIXTURE_DATA_TEST_CASE(RunPrecommit, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<float>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( m_values, n_values), k_values), b_values), - m0_values), - n0_values), - k0_values), + m0_values_precommit), + n0_values_precommit), + k0_values_precommit), h0_values), i_values_rhs), t_values_rhs), + framework::dataset::make("export_to_cl_image_rhs", {false, true})), framework::dataset::make("DataType", DataType::F32)), a_values), beta_values), broadcast_bias_values), act_values)) { - // Validate output - validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); + // Validate output only if the target platform supports the OpenCL cl_khr_image2d_from_buffer extension + if(validate_result) + { + validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); + } + else + { + ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped"); + framework::ARM_COMPUTE_PRINT_INFO(); + } +} + +FIXTURE_DATA_TEST_CASE(RunNightly, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<float>, framework::DatasetMode::NIGHTLY, + combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( + m_values, + n_values), + k_values), + b_values), + m0_values_nightly), + n0_values_nightly), + k0_values_nightly), + h0_values), + i_values_rhs), + t_values_rhs), + framework::dataset::make("export_to_cl_image_rhs", {false, true})), + framework::dataset::make("DataType", DataType::F32)), + a_values), + beta_values), + broadcast_bias_values), + act_values)) +{ + // Validate output only if the target platform supports the OpenCL cl_khr_image2d_from_buffer extension + if(validate_result) + { + validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); + } + else + { + ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped"); + framework::ARM_COMPUTE_PRINT_INFO(); + } } -FIXTURE_DATA_TEST_CASE(RunSmall3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<float>, framework::DatasetMode::ALL, - combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( +FIXTURE_DATA_TEST_CASE(RunPrecommit3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<float>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( m_w_values, m_h_values), n_values), k_values), b_values), - m0_values), - n0_values), - k0_values), + m0_values_precommit), + n0_values_precommit), + k0_values_precommit), h0_values), i_values_rhs), t_values_rhs), + framework::dataset::make("export_to_cl_image_rhs", {false, true})), + framework::dataset::make("has_pad_y", {false, true})), framework::dataset::make("DataType", DataType::F32)), a_values), beta_values), act_values)) { - // Validate output - validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); + // Validate output only if the target platform supports the OpenCL cl_khr_image2d_from_buffer extension + if(validate_result) + { + validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); + } + else + { + ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped"); + framework::ARM_COMPUTE_PRINT_INFO(); + } +} + +FIXTURE_DATA_TEST_CASE(RunNightly3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<float>, framework::DatasetMode::NIGHTLY, + combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( + m_w_values, + m_h_values), + n_values), + k_values), + b_values), + m0_values_nightly), + n0_values_nightly), + k0_values_nightly), + h0_values), + i_values_rhs), + t_values_rhs), + framework::dataset::make("export_to_cl_image_rhs", {false, true})), + framework::dataset::make("has_pad_y", {false, true})), + framework::dataset::make("DataType", DataType::F32)), + a_values), + beta_values), + act_values)) +{ + // Validate output only if the target platform supports the OpenCL cl_khr_image2d_from_buffer extension + if(validate_result) + { + validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); + } + else + { + ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped"); + framework::ARM_COMPUTE_PRINT_INFO(); + } } TEST_SUITE_END() // FP32 + +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunPrecommit, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<half>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( + m_values, + n_values), + k_values), + b_values), + m0_values_precommit), + n0_values_precommit), + k0_values_precommit), + h0_values), + i_values_rhs), + t_values_rhs), + framework::dataset::make("export_to_cl_image_rhs", true)), + framework::dataset::make("DataType", DataType::F16)), + a_values), + beta_values), + broadcast_bias_values), + act_values)) +{ + // Validate output only if the target platform supports the OpenCL cl_khr_image2d_from_buffer extension + if(validate_result) + { + validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16); + } + else + { + ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped"); + framework::ARM_COMPUTE_PRINT_INFO(); + } +} + +FIXTURE_DATA_TEST_CASE(RunNightly, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<half>, framework::DatasetMode::NIGHTLY, + combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( + m_values, + n_values), + k_values), + b_values), + m0_values_nightly), + n0_values_nightly), + k0_values_nightly), + h0_values), + i_values_rhs), + t_values_rhs), + framework::dataset::make("export_to_cl_image_rhs", true)), + framework::dataset::make("DataType", DataType::F16)), + a_values), + beta_values), + broadcast_bias_values), + act_values)) +{ + // Validate output only if the target platform supports the OpenCL cl_khr_image2d_from_buffer extension + if(validate_result) + { + validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16); + } + else + { + ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped"); + framework::ARM_COMPUTE_PRINT_INFO(); + } +} + +FIXTURE_DATA_TEST_CASE(RunPrecommit3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<half>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( + m_w_values, + m_h_values), + n_values), + k_values), + b_values), + m0_values_precommit), + n0_values_precommit), + k0_values_precommit), + h0_values), + i_values_rhs), + t_values_rhs), + framework::dataset::make("export_to_cl_image_rhs", true)), + framework::dataset::make("has_pad_y", {false, true})), + framework::dataset::make("DataType", DataType::F16)), + a_values), + beta_values), + act_values)) +{ + // Validate output only if the target platform supports the OpenCL cl_khr_image2d_from_buffer extension + if(validate_result) + { + validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16); + } + else + { + ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped"); + framework::ARM_COMPUTE_PRINT_INFO(); + } +} + +FIXTURE_DATA_TEST_CASE(RunNightly3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<half>, framework::DatasetMode::NIGHTLY, + combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( + m_w_values, + m_h_values), + n_values), + k_values), + b_values), + m0_values_nightly), + n0_values_nightly), + k0_values_nightly), + h0_values), + i_values_rhs), + t_values_rhs), + framework::dataset::make("export_to_cl_image_rhs", true)), + framework::dataset::make("has_pad_y", {false, true})), + framework::dataset::make("DataType", DataType::F16)), + a_values), + beta_values), + act_values)) +{ + // Validate output only if the target platform supports the OpenCL cl_khr_image2d_from_buffer extension + if(validate_result) + { + validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16); + } + else + { + ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped"); + framework::ARM_COMPUTE_PRINT_INFO(); + } +} + +TEST_SUITE_END() // FP16 + TEST_SUITE_END() // Float TEST_SUITE_END() // GEMMMatrixMulipltyReshapedOnlyRHS TEST_SUITE_END() // CL |