From a8d80583c3b3faa338127ddb9019b6d1085a69ae Mon Sep 17 00:00:00 2001 From: SiCong Li Date: Fri, 19 May 2023 14:23:37 +0100 Subject: Implement FP32/FP16 MatMul NT/NT kernel using the MMUL extension Resolves COMPMID-6194 Signed-off-by: SiCong Li Change-Id: Ie45e2aa9533948b2e5235563cef1d3834494eccf Signed-off-by: SiCong Li Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9739 Reviewed-by: Gunes Bayir Comments-Addressed: Arm Jenkins Tested-by: Arm Jenkins Benchmark: Arm Jenkins --- tests/datasets/LargeMatMulMMULDataset.h | 64 +++++++++++++++++++++++++++++++++ 1 file changed, 64 insertions(+) create mode 100644 tests/datasets/LargeMatMulMMULDataset.h (limited to 'tests/datasets/LargeMatMulMMULDataset.h') diff --git a/tests/datasets/LargeMatMulMMULDataset.h b/tests/datasets/LargeMatMulMMULDataset.h new file mode 100644 index 0000000000..23e0b3e5c8 --- /dev/null +++ b/tests/datasets/LargeMatMulMMULDataset.h @@ -0,0 +1,64 @@ +/* + * Copyright (c) 2023 Arm Limited. + * + * SPDX-License-Identifier: MIT + * + * 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. + */ + +#ifndef ACL_TESTS_DATASETS_LARGEMATMULMMULDATASET +#define ACL_TESTS_DATASETS_LARGEMATMULMMULDATASET + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "tests/datasets/MatMulDataset.h" + +namespace arm_compute +{ +namespace test +{ +namespace datasets +{ +/** MatMul MMUL shapes are similar to MatMul shapes except that K has to be a multiple of MMUL_K0 which is 4 (e.g. see src/gpu/cl/kernels/ClMatMulNativeMMULKernel.cpp for the definition) + */ +class LargeMatMulMMULDataset final : public MatMulDataset +{ +public: + LargeMatMulMMULDataset() + { + add_config(TensorShape(24U, 13U, 3U, 2U), TensorShape(33U, 24U, 3U, 2U), TensorShape(33U, 13U, 3U, 2U)); + add_config(TensorShape(36U, 12U, 1U, 5U), TensorShape(21U, 36U, 1U, 5U), TensorShape(21U, 12U, 1U, 5U)); + add_config(TensorShape(44U, 38U, 3U, 2U), TensorShape(21U, 44U, 3U, 2U), TensorShape(21U, 38U, 3U, 2U)); + } +}; + +class HighDimensionalMatMulMMULDataset final : public MatMulDataset +{ +public: + HighDimensionalMatMulMMULDataset() + { + add_config(TensorShape(4U, 5U, 2U, 2U, 2U, 2U), TensorShape(5U, 4U, 2U, 2U, 2U, 2U), TensorShape(5U, 5U, 2U, 2U, 2U, 2U)); // 6D tensor + } +}; + +} // namespace datasets +} // namespace test +} // namespace arm_compute + +#endif /* ACL_TESTS_DATASETS_LARGEMATMULMMULDATASET */ -- cgit v1.2.1