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author | Gunes Bayir <gunes.bayir@arm.com> | 2022-11-09 09:26:27 +0000 |
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committer | Gunes Bayir <gunes.bayir@arm.com> | 2022-11-14 15:01:27 +0000 |
commit | ec0113dd7749991959ae351934eea0c0d8077dcb (patch) | |
tree | 792f38b3a05fa85436339d54abddab096e20cc77 /src/gpu/cl/operators/ClTransposedConvolution.h | |
parent | 46ede332c7064b85dc538891cad165b3bb427320 (diff) | |
download | ComputeLibrary-ec0113dd7749991959ae351934eea0c0d8077dcb.tar.gz |
Optimize Transposed Convolution for CL backend (FP32/16)
This patch optimizes transposed convolution for CL backend by rewriting it in a single kernel instead of three (flip_kernel + upsample + conv). The new kernel skips the upsampling step which reduces the input space of convolution by stride_x * stride_y, resulting in significant performance improvement. It also skips the kernel flipping by traversing the weights accordingly, thus reduces the memory footprint.
Resolves: COMPMID-5676
Signed-off-by: Gunes Bayir <gunes.bayir@arm.com>
Change-Id: I8a333212dc7c5f7f0597aa58b0d56d44814baa14
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8588
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/gpu/cl/operators/ClTransposedConvolution.h')
-rw-r--r-- | src/gpu/cl/operators/ClTransposedConvolution.h | 90 |
1 files changed, 90 insertions, 0 deletions
diff --git a/src/gpu/cl/operators/ClTransposedConvolution.h b/src/gpu/cl/operators/ClTransposedConvolution.h new file mode 100644 index 0000000000..bc04387df5 --- /dev/null +++ b/src/gpu/cl/operators/ClTransposedConvolution.h @@ -0,0 +1,90 @@ +/* + * Copyright (c) 2022 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_CL_TRANSPOSED_CONVOLUTION_H +#define ARM_COMPUTE_CL_TRANSPOSED_CONVOLUTION_H + +#include "src/gpu/cl/ClCompileContext.h" +#include "src/gpu/cl/IClKernel.h" +#include "src/gpu/cl/IClOperator.h" +namespace arm_compute +{ +namespace opencl +{ +/** Basic function to simulate a directly convolution layer. This function calls the following OpenCL kernels: + * + * -# @ref opencl::ClTransposedConvolution + */ +class ClTransposedConvolution : public IClOperator +{ +public: + /** Default constructor */ + ClTransposedConvolution() = default; + /** Default Destructor */ + ~ClTransposedConvolution() = default; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + ClTransposedConvolution(const ClTransposedConvolution &) = delete; + /** Default move constructor */ + ClTransposedConvolution(ClTransposedConvolution &&) = default; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + ClTransposedConvolution &operator=(const ClTransposedConvolution &) = delete; + /** Default move assignment operator */ + ClTransposedConvolution &operator=(ClTransposedConvolution &&) = default; + + /** Set the input, weights, biases and output tensors. + * + * @note: Only NHWC data layout is supported + * + * @param[in] compile_context The compile context to be used. + * @param[in] input Input tensor info with dimensions [IFM, width, height, batch] + * Data types supported: F16/F32. + * @param[in] weights Weight tensor info with dimensions [IFM, width, height, OFM]. + * Data type supported: Same as @p input + * @param[in] biases (Optional) Biases tensor info. Biases are 1D tensor with dimension [OFM]. + * Data type supported: Should match @p input data type + * @param[out] output Output tensor info with dimensions [OFM, width, height, batch] + * The 1st dimension must be equal to the 4th dimension of the @p weights tensor. + * Data types supported: Same as @p input. + * @param[in] deconv_info Contains padding and stride information described in @ref PadStrideInfo. + * + */ + void configure(const CLCompileContext &compile_context, const ITensorInfo *input, const ITensorInfo *weights, + const ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &deconv_info); + /** Static function to check if given info will lead to a valid configuration + * + * Similar to ClTransposedConvolution::configure() + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, + const ITensorInfo *output, const PadStrideInfo &deconv_info); + + // Inherited method overridden + void run(ITensorPack &tensors) override; + +private: + std::unique_ptr<IClKernel> _transposed_conv_kernel{ nullptr }; +}; +} // namespace opencl +} // namespace arm_compute +#endif /* ARM_COMPUTE_CL_TRANSPOSED_CONVOLUTION_H */
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