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+/*
+ * Copyright (c) 2017-2019 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 __ARM_COMPUTE_NEGEMMLOWPMATRIXMULTIPLYCOREEX_H__
+#define __ARM_COMPUTE_NEGEMMLOWPMATRIXMULTIPLYCOREEX_H__
+
+#include "arm_compute/core/NEON/INEKernel.h"
+#include "arm_compute/core/NEON/kernels/NEGEMMLowpOffsetContributionKernel.h"
+#include "arm_compute/core/NEON/kernels/NEGEMMLowpOffsetContributionOutputStageKernel.h"
+#include "arm_compute/core/NEON/kernels/NEGEMMLowpReductionKernel.h"
+#include "arm_compute/runtime/IFunction.h"
+#include "arm_compute/runtime/IMemoryManager.h"
+#include "arm_compute/runtime/MemoryGroup.h"
+// #include "arm_compute/runtime/NEON/functions/NEActivationLayer.h"
+#include "arm_compute/runtime/NEON/functions/NEGEMMAssemblyDispatch.h"
+#include "arm_compute/runtime/Tensor.h"
+
+#include <memory>
+
+namespace arm_compute
+{
+class ITensor;
+
+/** Basic function to execute GEMMLowpMatrixMultiplyCore on NEON. This function calls the following
+ * NEON kernels if the DOT product instruction is not available:
+ *
+ * -# @ref NEGEMMInterleave4x4Kernel
+ * -# @ref NEGEMMTranspose1xWKernel
+ * -# @ref NEGEMMLowpMatrixMultiplyKernel
+ * -# @ref NEGEMMLowpOffsetContributionKernel
+ * -# @ref NEActivationLayer
+ *
+ * otherwise if the DOT product instruction is available:
+ *
+ * -# @ref NEGEMMLowpOffsetContributionKernel
+ *
+*/
+class NEGEMMLowpMatrixMultiplyCoreEx : public IFunction
+{
+public:
+ /** Constructor */
+ NEGEMMLowpMatrixMultiplyCoreEx(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEGEMMLowpMatrixMultiplyCoreEx(const NEGEMMLowpMatrixMultiplyCoreEx &) = delete;
+ /** Default move constructor */
+ NEGEMMLowpMatrixMultiplyCoreEx(NEGEMMLowpMatrixMultiplyCoreEx &&) = default;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEGEMMLowpMatrixMultiplyCoreEx &operator=(const NEGEMMLowpMatrixMultiplyCoreEx &) = delete;
+ /** Default move assignment operator */
+ NEGEMMLowpMatrixMultiplyCoreEx &operator=(NEGEMMLowpMatrixMultiplyCoreEx &&) = default;
+ /** Initialise the kernel's inputs, output
+ *
+ * @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 otherwise
+ *
+ * @param[in] a First input tensor (Matrix A). Data type supported:
+ * QASYMM8/QASYMM8_SIGNED.
+ * @param[in] b Second input tensor (Matrix B). Data type supported: same as @p a
+ * @param[in] c Third input tensor (Matrix C). It can be a nullptr. Data type supported:
+ * S32
+ * @param[out] output Output tensor. Data type supported: Data type supported:
+ * S32/QASYMM8/QASYMM8_SIGNED
+ * @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 ITensor *a, const ITensor *b, const ITensor *c, ITensor *output,
+ const GEMMInfo &gemm_info = GEMMInfo());
+ /** Static function to check if given info will lead to a valid configuration of @ref
+ * NEGEMMLowpMatrixMultiplyCoreEx
+ *
+ * @note The @p output type is S32 if @p gemm_info.type == GEMMLowpOutputStageType::NONE. It is
+ * QASYMM8/QASYMM8_SIGNED 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: same as @p a
+ * @param[in] c Third input tensor info (Matrix C). It can be a nullptr. Data type
+ * supported: S32
+ * @param[in] output Output tensor info. Data type supported: Data type supported:
+ * S32/QASYMM8/QASYMM8_SIGNED
+ * @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
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *c,
+ const ITensorInfo *output, const GEMMInfo &gemm_info = GEMMInfo());
+
+ // Inherited methods overridden
+ void run() override;
+ void prepare() override;
+
+private:
+ MemoryGroup _memory_group;
+ NEGEMMAssemblyDispatch _asm_glue;
+ std::unique_ptr<INEKernel> _mm_kernel;
+ std::unique_ptr<INEKernel> _mtx_a_reshape_kernel;
+ std::unique_ptr<INEKernel> _mtx_b_reshape_kernel;
+ NEGEMMLowpMatrixAReductionKernel _mtx_a_reduction_kernel;
+ NEGEMMLowpMatrixBReductionKernel _mtx_b_reduction_kernel;
+ NEGEMMLowpOffsetContributionKernel _offset_contribution_kernel;
+ NEGEMMLowpOffsetContributionOutputStageKernel _offset_contribution_output_stage_kernel;
+ // NEActivationLayer _activation_func;
+
+ Tensor _vector_sum_col;
+ Tensor _vector_sum_row;
+ Tensor _tmp_a;
+ Tensor _tmp_b;
+ Tensor _mm_result_s32;
+ Tensor _signed_a;
+ Tensor _signed_output;
+ const ITensor *_original_b;
+ 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;
+};
+} // namespace arm_compute
+#endif /*__ARM_COMPUTE_NEGEMMLOWPMATRIXMULTIPLYCOREEX_H__ */