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authorAnthony Barbier <anthony.barbier@arm.com>2018-07-23 16:42:59 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:54:54 +0000
commit3d677ccee046cd384abf2142f323f8e9e7a4834f (patch)
tree2e0d86a1b2438cb94386c55d1bc89b3e1061214c /arm_compute/runtime/NEON/functions/assembly/NEGEMMInterleavedWrapper.h
parent597a85666a84c9a9414264966651551564b79299 (diff)
downloadComputeLibrary-3d677ccee046cd384abf2142f323f8e9e7a4834f.tar.gz
COMPMID-1406: Refactor gemm_interleaved to use our own types and scheduler
- Ported PrepareB kernel from gemm_interleave - Ported TransformA feature from gemm_interleave - Allocate reshaped a and b buffers - Added memory_manager / memory_group - MatrixMultiply kernel - Interleave kernels execution. - Fixed a few bugs: all nightly Convolution tests passing for threads=1 and threads=4 - Added Doxygen documentations and comments in the code - Added support for all data types supported Change-Id: Iffa1c09fda0bb9c61213bb83524d5a48e7ecb03c Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/141281 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON/functions/assembly/NEGEMMInterleavedWrapper.h')
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+/*
+ * Copyright (c) 2018 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_NEGEMMINTERLEAVEDWRAPPER_H__
+#define __ARM_COMPUTE_NEGEMMINTERLEAVEDWRAPPER_H__
+
+#include "arm_compute/core/NEON/kernels/assembly/Helpers.h"
+#include "arm_compute/core/NEON/kernels/assembly/INEGEMMWrapperKernel.h"
+#include "arm_compute/runtime/IFunction.h"
+#include "arm_compute/runtime/IMemoryManager.h"
+#include "arm_compute/runtime/IScheduler.h"
+#include "arm_compute/runtime/MemoryGroup.h"
+#include "arm_compute/runtime/Tensor.h"
+
+#include <memory>
+
+namespace arm_compute
+{
+class ITensor;
+class NEGEMMInterleavedPrepareBWrapperKernel;
+class PrepareBWorkload;
+class TransformAWorkload;
+class MatrixMultiplyWorkload;
+class NEGEMMInterleavedTransformAWrapper;
+class NEGEMMInterleavedMatrixMultiplyWrapper;
+
+/** Equivalent to arm_gemm::GemmInterleaved but using Compute Library types.
+ */
+class NEGEMMInterleavedWrapper : public IFunction
+{
+public:
+ NEGEMMInterleavedWrapper(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
+
+ NEGEMMInterleavedWrapper(const NEGEMMInterleavedWrapper &) = delete;
+ NEGEMMInterleavedWrapper &operator=(const NEGEMMInterleavedWrapper &) = delete;
+
+ /** Initialise the kernel's input and output.
+ *
+ * @note The input and output tensor must have the same dimensions
+ *
+ * @param[in] a Input tensor (Matrix A)
+ * @param[in] b Input tensor (Matrix B)
+ * @param[out] c Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0.
+ * @param[in] alpha Scalar multiplier to apply to AB matrix product.
+ * @param[in] beta Scalar multiplier to apply to input C matrix before adding product.
+ * @param[in] pretranspose_b If true, pretranspose B once during the prepare() stage instead of on the fly every time.
+ * @param[in] use_dot (Optional) If the input's type is U8/S8/QASYMM8 then use the dot product flavour or the matrix multiply routine. (Must be supported by the hardware).
+ */
+ void configure(const ITensor *a, const ITensor *b, ITensor *c, float alpha, float beta, bool pretranspose_b, bool use_dot = false);
+
+ // Inherited methods overridden:
+ void run() override;
+ void prepare() override;
+
+private:
+ MemoryGroup _memory_group;
+ bool _is_prepared{ false };
+ bool _pretranspose_b{ false };
+ Window _block_walker{};
+ Window _batch_window{};
+ const ITensor *_a{ nullptr };
+ const ITensor *_b{ nullptr };
+ ITensor *_c{ nullptr };
+ Tensor _transformed_b{};
+ Tensor _transformed_a{};
+ Tensor _tmp_c{};
+ INEGEMMWrapperKernel::Params _params{};
+ BlockSizes _block_sizes{};
+ std::unique_ptr<NEGEMMInterleavedPrepareBWrapperKernel> _prepare_b{ nullptr };
+ std::unique_ptr<NEGEMMInterleavedTransformAWrapper> _transform_a{ nullptr };
+ std::unique_ptr<NEGEMMInterleavedMatrixMultiplyWrapper> _matrix_multiply{ nullptr };
+ std::vector<TransformAWorkload> _a_workloads{};
+ std::vector<PrepareBWorkload> _b_workloads{};
+ std::vector<MatrixMultiplyWorkload> _mm_workloads{};
+ std::vector<IScheduler::Workload> _workloads{};
+};
+
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_NEGEMMINTERLEAVEDWRAPPER_H__ */