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+/*
+ * Copyright (c) 2021, 2023-2024 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_SRC_CPU_OPERATORS_CPUGEMMLOWPMATRIXMULTIPLYCORE_H
+#define ACL_SRC_CPU_OPERATORS_CPUGEMMLOWPMATRIXMULTIPLYCORE_H
+
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/function_info/GEMMInfo.h"
+
+#include "src/core/common/Macros.h"
+#include "src/cpu/ICpuOperator.h"
+
+#include <memory>
+
+namespace arm_compute
+{
+namespace cpu
+{
+namespace kernels
+{
+class CpuGemmInterleave4x4Kernel;
+class CpuGemmLowpMatrixMultiplyKernel;
+class CpuGemmLowpOffsetContributionKernel;
+class CpuGemmLowpOffsetContributionOutputStageKernel;
+class CpuGemmLowpMatrixAReductionKernel;
+class CpuGemmLowpMatrixBReductionKernel;
+class CpuGemmTranspose1xWKernel;
+class CpuConvertQuantizedSignednessKernel;
+} // namespace kernels
+class CpuGemmAssemblyDispatch;
+class CpuActivation;
+
+/** Basic function to execute GEMMLowpMatrixMultiplyCore. This function calls the following kernels if the DOT product instruction is not available:
+ *
+ * -# @ref kernels::CpuGemmInterleave4x4Kernel
+ * -# @ref kernels::CpuGemmTranspose1xWKernel
+ * -# @ref kernels::CpuGemmLowpMatrixMultiplyKernel
+ * -# @ref kernels::CpuGemmLowpOffsetContributionKernel
+ * -# @ref CpuActivation
+ *
+ * otherwise if the DOT product instruction is available:
+ *
+ * -# @ref kernels::CpuGemmLowpOffsetContributionKernel
+ *
+*/
+class CpuGemmLowpMatrixMultiplyCore : public ICpuOperator
+{
+public:
+ /** Constructor */
+ CpuGemmLowpMatrixMultiplyCore();
+ ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmLowpMatrixMultiplyCore);
+ /** Destructor */
+ ~CpuGemmLowpMatrixMultiplyCore();
+ /** Initialise the kernel's inputs, output
+ *
+ * Valid data layouts:
+ * - NHWC
+ * - NCHW
+ *
+ * Valid data type configurations:
+ * |src0 |src1 |src2 |dst |
+ * |:--------------|:------------------|:--------|:--------------|
+ * |QASYMM8 |QASYMM8 |S32 |QASYMM8 |
+ * |QASYMM8 |QSYMM8_PER_CHANNEL |S32 |QASYMM8 |
+ * |QASYMM8 |QSYMM8 |S32 |QASYMM8 |
+ * |QASYMM8 |QASYMM8 |S32 |S32 |
+ * |QASYMM8 |QSYMM8_PER_CHANNEL |S32 |S32 |
+ * |QASYMM8 |QSYMM8 |S32 |S32 |
+ * |QASYMM8_SIGNED |QASYMM8_SIGNED |S32 |QASYMM8_SIGNED |
+ * |QASYMM8_SIGNED |QSYMM8_PER_CHANNEL |S32 |QASYMM8_SIGNED |
+ * |QASYMM8_SIGNED |QSYMM8 |S32 |QASYMM8_SIGNED |
+ * |QASYMM8_SIGNED |QASYMM8_SIGNED |S32 |S32 |
+ * |QASYMM8_SIGNED |QSYMM8_PER_CHANNEL |S32 |S32 |
+ * |QASYMM8_SIGNED |QSYMM8 |S32 |S32 |
+ * |QASYMM8_SIGNED |QASYMM8_SIGNED |F32 |F32 |
+ *
+ * @note GEMM_LOWP: low precision GEMM kernel
+ * This kernel performs the following computations:
+ *
+ * -# Convert a values from QASYMM8 to int32 and add a_offset to each of them.
+ * -# Convert b values from QASYMM8 to int32 add b_offset to each of them.
+ * -# Compute the matrix product of the resulting a * b in int32.
+ *
+ * @note The @p output type is S32 if @p gemm_info.type == GEMMLowpOutputStageType::NONE. It is QASYMM8/QASYMM8_SIGNED/F32 otherwise
+ *
+ * @param[in] a First input tensor info (Matrix A). Data type supported: QASYMM8/QASYMM8_SIGNED.
+ * @param[in] b Second input tensor info (Matrix B). Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL.
+ * @param[in] c Third input tensor info (Matrix C). It can be a nullptr. Data type supported: S32/F32
+ * @param[out] dst Output tensor info. Data type supported: Data type supported: S32/QASYMM8/QASYMM8_SIGNED/F32
+ * @param[in] gemm_info (Optional) Specifies if the matrix A and/or matrix B have been reshaped and
+ * if the reshape of matrix B should be executed only for the first run
+ */
+ void configure(const ITensorInfo *a,
+ const ITensorInfo *b,
+ const ITensorInfo *c,
+ ITensorInfo *dst,
+ const GEMMInfo &gemm_info = GEMMInfo());
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to CpuGemmLowpMatrixMultiplyCore::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *a,
+ const ITensorInfo *b,
+ const ITensorInfo *c,
+ const ITensorInfo *dst,
+ const GEMMInfo &gemm_info = GEMMInfo());
+
+ // Inherited methods overridden:
+ void run(ITensorPack &tensors) override;
+ void prepare(ITensorPack &tensors) override;
+ experimental::MemoryRequirements workspace() const override;
+
+private:
+ enum AuxTensorIdx
+ {
+ /* Slots 0 - 2 reserved for CpuGemmAssemblyDispatch */
+ VectorSumCol = 3,
+ VectorSumRow,
+ TmpA,
+ TmpB,
+ MMResultS32,
+ SignedA,
+ SignedOutput,
+ Count
+ };
+
+ std::unique_ptr<CpuGemmAssemblyDispatch> _asm_glue;
+ std::unique_ptr<kernels::CpuGemmLowpMatrixMultiplyKernel> _mm_kernel;
+ std::unique_ptr<kernels::CpuGemmInterleave4x4Kernel> _mtx_a_reshape_kernel;
+ std::unique_ptr<kernels::CpuGemmTranspose1xWKernel> _mtx_b_reshape_kernel;
+ std::unique_ptr<kernels::CpuGemmLowpMatrixAReductionKernel> _mtx_a_reduction_kernel;
+ std::unique_ptr<kernels::CpuGemmLowpMatrixBReductionKernel> _mtx_b_reduction_kernel;
+ std::unique_ptr<kernels::CpuGemmLowpOffsetContributionKernel> _offset_contribution_kernel;
+ std::unique_ptr<kernels::CpuGemmLowpOffsetContributionOutputStageKernel> _offset_contribution_output_stage_kernel;
+ std::unique_ptr<CpuActivation> _activation_func;
+ std::unique_ptr<kernels::CpuConvertQuantizedSignednessKernel> _convert_to_signed_asymm;
+ std::unique_ptr<kernels::CpuConvertQuantizedSignednessKernel> _convert_from_signed_asymm;
+
+ TensorInfo _vector_sum_col;
+ TensorInfo _vector_sum_row;
+ TensorInfo _tmp_a;
+ TensorInfo _tmp_b;
+ TensorInfo _mm_result_s32;
+ TensorInfo _signed_a;
+ TensorInfo _signed_output;
+ int32_t _a_offset;
+ int32_t _b_offset;
+
+ bool _run_vector_matrix_multiplication;
+ bool _assembly_path;
+ bool _fused_assembly_path;
+ bool _reshape_b_only_on_first_run;
+ bool _is_prepared;
+ bool _fuse_output_stage;
+ bool _run_activation;
+ bool _flip_signedness;
+ GEMMInfo _gemm_info;
+ experimental::MemoryRequirements _aux_mem{};
+};
+} // namespace cpu
+} // namespace arm_compute
+#endif // ACL_SRC_CPU_OPERATORS_CPUGEMMLOWPMATRIXMULTIPLYCORE_H