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author | Anthony Barbier <anthony.barbier@arm.com> | 2018-07-23 16:42:59 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
commit | 3d677ccee046cd384abf2142f323f8e9e7a4834f (patch) | |
tree | 2e0d86a1b2438cb94386c55d1bc89b3e1061214c /arm_compute/core/NEON/kernels/assembly/NEGEMMInterleavedPrepareBWrapperKernel.h | |
parent | 597a85666a84c9a9414264966651551564b79299 (diff) | |
download | ComputeLibrary-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/core/NEON/kernels/assembly/NEGEMMInterleavedPrepareBWrapperKernel.h')
-rw-r--r-- | arm_compute/core/NEON/kernels/assembly/NEGEMMInterleavedPrepareBWrapperKernel.h | 129 |
1 files changed, 129 insertions, 0 deletions
diff --git a/arm_compute/core/NEON/kernels/assembly/NEGEMMInterleavedPrepareBWrapperKernel.h b/arm_compute/core/NEON/kernels/assembly/NEGEMMInterleavedPrepareBWrapperKernel.h new file mode 100644 index 0000000000..e46c33018b --- /dev/null +++ b/arm_compute/core/NEON/kernels/assembly/NEGEMMInterleavedPrepareBWrapperKernel.h @@ -0,0 +1,129 @@ +/* + * 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_NEGEMMINTERLEAVEDPREPAREBWRAPPERKERNEL_H__ +#define __ARM_COMPUTE_NEGEMMINTERLEAVEDPREPAREBWRAPPERKERNEL_H__ + +#include "arm_compute/core/NEON/INEKernel.h" +#include "arm_compute/core/NEON/kernels/assembly/Helpers.h" +#include "arm_compute/core/NEON/kernels/assembly/INEGEMMWrapperKernel.h" + +namespace arm_compute +{ +class ITensor; + +/** Unit of work for @ref NEGEMMInterleavedPrepareBWrapperKernel to process */ +struct PrepareBWorkload +{ + /** Constructor + * + * @param[in] offset_b Offset from the start of b's allocation + * @param[in] offset_transformed_b Offset from the start of transformed_b's allocation. + * @param[in] x0 First value to process along the X dimension (N). + * @param[in] xmax Last value to process along the X dimension (N). + * @param[in] k0 First value to process along the K dimension. + * @param[in] kmax Last value to process along the K dimension. + */ + PrepareBWorkload(unsigned int offset_b, unsigned int offset_transformed_b, unsigned int x0, unsigned int xmax, unsigned int k0, unsigned int kmax) + : _offset_b(offset_b), _offset_transformed_b(offset_transformed_b), _x0(x0), _xmax(xmax), _k0(k0), _kmax(kmax) + { + } + unsigned int _offset_b; /**< Offset from the start of b's allocation.*/ + unsigned int _offset_transformed_b; /**< Offset from the start of transformed_b's allocation.*/ + unsigned int _x0; /**< First value to process along the X dimension (N). */ + unsigned int _xmax; /**< Last value to process along the X dimension (N). */ + unsigned int _k0; /**< First value to process along the K dimension. */ + unsigned int _kmax; /**< Last value to process along the K dimension. */ +}; + +/** Common interface for the templated wrappers around the B reshape NEON assembly implementations */ +class NEGEMMInterleavedPrepareBWrapperKernel : public INEKernel +{ +public: + /** Transform the block at the given coordinates + * + * @param[in] wl Workload to process. + * @param[in] info Information about the current thread. + */ + virtual void transform(const PrepareBWorkload &wl, const ThreadInfo &info) = 0; + /** Generate an array of workloads + * + * @param[out] workloads Container to store the generated workloads. + */ + virtual void create_workloads(std::vector<PrepareBWorkload> &workloads) = 0; + /** Return the block_sizes used to resape B + * + * The same block sizes must be used to reshape A and for the matrix multiplication + * + * @return The block sizes used to reshape B. + */ + virtual BlockSizes block_sizes() const = 0; + + // Inherited methods overridden: + const char *name() const override + { + return "NEGEMMInterleavedPrepareBWrapperKernel"; + } + + bool is_parallelisable() const override + { + return false; // Can't run on arbitrary windows but can be parallelised using an array of workloads + } +}; + +/** Equivalent to arm_gemm::GemmInterleaved's strategy::transforms::PrepareB() but using Compute Library types. + */ +template <typename To, bool use_dot = false> +class NEGEMMInterleavedPrepareBWrapperKernelTemplate : public NEGEMMInterleavedPrepareBWrapperKernel +{ +public: + /** Configure the reshape B routine. + * + * @param[in] b Input matrix B. + * @param[out] transformed_b Reshaped matrix B. + * @param[in] transpose_b Also transpose B ? + * @param[in] ci CPU information + * @param[in] params M, N, K sizes. + */ + void configure(const ITensor *b, ITensor *transformed_b, bool transpose_b, const CPUInfo &ci, const INEGEMMWrapperKernel::Params ¶ms); + + // Inherited methods overridden: + void transform(const PrepareBWorkload &wl, const ThreadInfo &info) override; + void create_workloads(std::vector<PrepareBWorkload> &workloads) override; + void run(const Window &window, const ThreadInfo &info) override; + BlockSizes block_sizes() const override; + +private: + const ITensor *_b + { + nullptr + }; + ITensor *_transformed_b{ nullptr }; + unsigned int _Nsize{ 0 }; + unsigned int _Ksize{ 0 }; + bool _transpose_b{ false }; + BlockSizes _block_sizes{}; +}; + +} // namespace arm_compute +#endif /* __ARM_COMPUTE_NEGEMMINTERLEAVEDPREPAREBWRAPPERKERNEL_H__ */ |