From e855c237a5b61c4ed5a5ab79dd4af27385cf72f5 Mon Sep 17 00:00:00 2001 From: Stephen Li Date: Thu, 4 Jan 2018 14:13:22 +0800 Subject: APPBROWSER-377: GCConvoutionLayer support for FP16 Change-Id: I801b5e393a16a9f92c062826e6fcfd5982ca7bb3 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/116584 Tested-by: Jenkins Reviewed-by: Anthony Barbier --- arm_compute/runtime/GLES_COMPUTE/GCFunctions.h | 3 +- .../GLES_COMPUTE/functions/GCConvolutionLayer.h | 138 +++++++++++++++++++++ .../GLES_COMPUTE/functions/GCFullyConnectedLayer.h | 2 +- .../GLES_COMPUTE/functions/GCGEMMInterleave4x4.h | 4 +- 4 files changed, 143 insertions(+), 4 deletions(-) create mode 100644 arm_compute/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.h (limited to 'arm_compute/runtime/GLES_COMPUTE') diff --git a/arm_compute/runtime/GLES_COMPUTE/GCFunctions.h b/arm_compute/runtime/GLES_COMPUTE/GCFunctions.h index fa688dbfb6..bbd8218722 100644 --- a/arm_compute/runtime/GLES_COMPUTE/GCFunctions.h +++ b/arm_compute/runtime/GLES_COMPUTE/GCFunctions.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -29,6 +29,7 @@ #include "arm_compute/runtime/GLES_COMPUTE/functions/GCActivationLayer.h" #include "arm_compute/runtime/GLES_COMPUTE/functions/GCArithmeticAddition.h" #include "arm_compute/runtime/GLES_COMPUTE/functions/GCBatchNormalizationLayer.h" +#include "arm_compute/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.h" #include "arm_compute/runtime/GLES_COMPUTE/functions/GCDepthConcatenateLayer.h" #include "arm_compute/runtime/GLES_COMPUTE/functions/GCDepthwiseConvolutionLayer.h" #include "arm_compute/runtime/GLES_COMPUTE/functions/GCDirectConvolutionLayer.h" diff --git a/arm_compute/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.h b/arm_compute/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.h new file mode 100644 index 0000000000..e3fa98e6e7 --- /dev/null +++ b/arm_compute/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.h @@ -0,0 +1,138 @@ +/* + * Copyright (c) 2017-2018 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_GCCONVOLUTIONLAYER_H__ +#define __ARM_COMPUTE_GCCONVOLUTIONLAYER_H__ + +#include "arm_compute/core/GLES_COMPUTE/kernels/GCCol2ImKernel.h" +#include "arm_compute/core/GLES_COMPUTE/kernels/GCFillBorderKernel.h" +#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMInterleave4x4Kernel.h" +#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.h" +#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMTranspose1xWKernel.h" +#include "arm_compute/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h" +#include "arm_compute/core/GLES_COMPUTE/kernels/GCWeightsReshapeKernel.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h" +#include "arm_compute/runtime/IFunction.h" + +#include + +namespace arm_compute +{ +class IGCTensor; + +/** Function to reshape and transpose the weights. This function calls the following kernels: + * -# @ref GCWeightsReshapeKernel + * -# @ref GCGEMMTranspose1xWKernel + */ +class GCConvolutionLayerReshapeWeights : public IFunction +{ +public: + /** Constructor */ + GCConvolutionLayerReshapeWeights(); + /** Set the input and output tensors. + * + * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. + * Data type supported: F16/F32. + * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights. + * @param[out] output Destination tensor. Data types supported: Same as @p weights. + * @param[in] transpose1xW True if the weights are to undergo a 1xW transposition after reshaping (in case of GEMM operation), false otherwise. + * Data types supported: Same as @p weights. + */ + void configure(const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, bool transpose1xW); + // Inherited methods overridden: + void run() override; + +private: + GCWeightsReshapeKernel _weights_reshape_kernel; + GCGEMMTranspose1xWKernel _weights_transposed_kernel; + GCTensor _weights_reshaped; + bool _transpose1xW; +}; + +/** Basic function to compute the convolution layer. This function calls the following GLES kernels: + * + * -# @ref GCWeightsReshapeKernel (executed only once for each configuration) + * -# @ref GCGEMMTranspose1xWKernel (executed only once for each configuration) + * -# @ref GCIm2ColKernel + * -# @ref GCGEMMInterleave4x4Kernel + * -# @ref GCCol2ImKernel + */ +class GCConvolutionLayer : public IFunction +{ +public: + /** Default constructor */ + GCConvolutionLayer(); + + /** Set the input and output tensors. + * + * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], + * while every optional dimension from 4 and above represent a batch of inputs. + * Data types supported: F16/F32. + * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: Same as @p input. + * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. + * Data type supported: Should match @p input data type, except for input of QASYMM8 type where biases should be of S32 type. + * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. + * Data types supported: Same as @p input. + * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. + * @param[in] weights_info Specifies if the weights tensor has been reshaped with GCWeightsReshapeKernel. If this is not part of the fully connected layer the weights + * tensor has also been transposed with GCGEMMTranspose1xWKernel. Data type supported: Same as @p input. + */ + void configure(const IGCTensor *input, const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info = WeightsInfo()); + + // Inherited methods overridden: + void run() override; + +private: + /** Configures the appropriate matrix multiply routine + * + * @param input Input tensor. Data types supported: F16/F32. + * @param weights Weights tensor. Data type supported: Same as @p input. + * @param output Output tensor. Data types supported: Same as @p input, + * @param is_interleaved_transposed Flag that signals if matrix is interleaved transposed + */ + void configure_mm(const IGCTensor *input, const IGCTensor *weights, IGCTensor *output, bool is_interleaved_transposed = true); + +private: + GCConvolutionLayerReshapeWeights _reshape_weights; + GCIm2ColKernel _input_im2col_kernel; + GCGEMMInterleave4x4Kernel _input_interleave_kernel; + GCGEMMMatrixMultiplyKernel _mm_kernel; + GCCol2ImKernel _output_col2im_kernel; + GCFillBorderKernel _fill_border; + + GCTensor _input_im2col_reshaped; + GCTensor _input_interleaved_reshaped; + GCTensor _weights_reshaped; + GCTensor _weights_transposed; + GCTensor _gemm_output; + GCTensor _tmp_output; + + bool _append_bias; + bool _is_fully_connected_convolution; + bool _are_weights_reshaped; +}; +} + +#endif /* __ARM_COMPUTE_GCCONVOLUTIONLAYER_H__ */ diff --git a/arm_compute/runtime/GLES_COMPUTE/functions/GCFullyConnectedLayer.h b/arm_compute/runtime/GLES_COMPUTE/functions/GCFullyConnectedLayer.h index 1ae5837de0..3ba44f59cb 100644 --- a/arm_compute/runtime/GLES_COMPUTE/functions/GCFullyConnectedLayer.h +++ b/arm_compute/runtime/GLES_COMPUTE/functions/GCFullyConnectedLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * diff --git a/arm_compute/runtime/GLES_COMPUTE/functions/GCGEMMInterleave4x4.h b/arm_compute/runtime/GLES_COMPUTE/functions/GCGEMMInterleave4x4.h index 48fa7ed504..2c83b13f84 100644 --- a/arm_compute/runtime/GLES_COMPUTE/functions/GCGEMMInterleave4x4.h +++ b/arm_compute/runtime/GLES_COMPUTE/functions/GCGEMMInterleave4x4.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -40,7 +40,7 @@ class GCGEMMInterleave4x4 : public IGCSimpleFunction public: /** Initialise the kernel's inputs, output * - * @param[in] input First input tensor. Data types supported: F32 + * @param[in] input First input tensor. Data types supported: F32, F16 * @param[out] output Output tensor. Data type supported: same as @p input */ void configure(const IGCTensor *input, IGCTensor *output); -- cgit v1.2.1