/* * 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_MATMULLOWPMMULDATASET_H #define ACL_TESTS_DATASETS_MATMULLOWPMMULDATASET_H #include "arm_compute/core/TensorShape.h" #include "arm_compute/core/Types.h" #include "tests/datasets/MatMulDataset.h" namespace arm_compute { namespace test { namespace datasets { /** MatMulLowp MMUL shapes are similar to MatMul MMUL shapes except that K has to be a * multiple of MMUL_K0 which is 16 (e.g. see src/gpu/cl/kernels/ClMatMulLowpNativeMMULKernel.cpp for the definition) */ class SmallMatMulLowpMMULDataset final : public MatMulDataset { public: SmallMatMulLowpMMULDataset() { add_config(TensorShape(16U, 4U), TensorShape(4U, 16U), TensorShape(4U, 4U)); // same as mmul block add_config(TensorShape(96U, 1U), TensorShape(1U, 96U), TensorShape(1U, 1U)); // vector x vector add_config(TensorShape(32U, 4U, 2U), TensorShape(16U, 32U, 2U), TensorShape(16U, 4U, 2U)); add_config(TensorShape(48U, 2U), TensorShape(17U, 48U), TensorShape(17U, 2U)); add_config(TensorShape(32U, 6U), TensorShape(7U, 32U), TensorShape(7U, 6U)); } }; // This dataset is for smaller number of tests that will still use small shapes // e.g. not repeating everything for QASYMM8 while we're already testing for QASYMM8_SIGNED class SmallMatMulLowpMMULDatasetSubset final : public MatMulDataset { public: SmallMatMulLowpMMULDatasetSubset() { add_config(TensorShape(32U, 4U, 2U), TensorShape(16U, 32U, 2U), TensorShape(16U, 4U, 2U)); add_config(TensorShape(32U, 6U), TensorShape(7U, 32U), TensorShape(7U, 6U)); } }; class SmallMatMulLowpMMULWithBiasDataset final : public MatMulDataset { public: SmallMatMulLowpMMULWithBiasDataset() { add_config(TensorShape(32U, 4U, 2U, 2U), TensorShape(16U, 32U, 2U, 2U), TensorShape(16U, 4U, 2U, 2U)); } }; class LargeMatMulLowpMMULDataset final : public MatMulDataset { public: LargeMatMulLowpMMULDataset() { add_config(TensorShape(192U, 38U, 3U, 2U), TensorShape(21U, 192U, 3U, 2U), TensorShape(21U, 38U, 3U, 2U)); } }; class HighDimensionalMatMulLowpMMULDataset final : public MatMulDataset { public: HighDimensionalMatMulLowpMMULDataset() { add_config(TensorShape(16U, 5U, 2U, 2U, 2U, 2U), TensorShape(5U, 16U, 2U, 2U, 2U, 2U), TensorShape(5U, 5U, 2U, 2U, 2U, 2U)); // 6D tensor } }; } // namespace datasets } // namespace test } // namespace arm_compute #endif // ACL_TESTS_DATASETS_MATMULLOWPMMULDATASET_H