diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h | 51 |
1 files changed, 27 insertions, 24 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h index d031076ee7..c4c1664f20 100644 --- a/arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h +++ b/arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2019 ARM Limited. + * Copyright (c) 2017-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -27,8 +27,8 @@ #include "arm_compute/runtime/CPP/functions/CPPUpsample.h" #include "arm_compute/runtime/NEON/functions/NEConvolutionLayer.h" #include "arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h" +#include "arm_compute/runtime/NEON/functions/NEReverse.h" -#include "arm_compute/core/CPP/kernels/CPPFlipWeightsKernel.h" #include "arm_compute/core/Types.h" #include "arm_compute/runtime/IFunction.h" #include "arm_compute/runtime/IMemoryManager.h" @@ -62,12 +62,14 @@ namespace arm_compute * stride_x and stride_y is the input stride of the first and second dimension. * * The weights used by Deconvolution are supposed to be the same as the ones used for Convolution. Therefore, it will be necessary to use the weights in the - * reverse order to perform an actual convolution. This is achieved by using the @ref CPPFlipWeightsKernel. + * reverse order to perform an actual convolution. This is achieved by using @ref NEReverse. * * This function calls the following NEON kernels/functions: * * -# @ref CPPUpsample * -# @ref NEConvolutionLayer + * -# @ref NEPermute + * -# @ref NEReverse * */ class NEDeconvolutionLayer : public IFunction @@ -89,9 +91,9 @@ public: /** Set the input, weights, biases and output tensors. * - * @param[in,out] input Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: F32/F16/QASYMM8. + * @param[in,out] input Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: F32/F16/QASYMM8/QASYMM8_SIGNED. * @param[in] weights The 4d weights with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input. - * @param[in] bias Optional, ignored if NULL. The biases have one dimension. Data type supported: Data types supported: S32 for QASYMM8 input, F32 for F32 input, F16 for F16 input. + * @param[in] bias Optional, ignored if NULL. The biases have one dimension. Data type supported: Data types supported: S32 for QASYMM8 and QASYMM8_SIGNED input, F32 for F32 input, F16 for F16 input. * @param[out] output Output tensor. The output has the same number of dimensions as the @p input. * @param[in] info Contains padding and policies to be used in the deconvolution, this is decribed in @ref PadStrideInfo. * @@ -99,9 +101,9 @@ public: void configure(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &info); /** Static function to check if given info will lead to a valid configuration of @ref NEDeconvolutionLayer * - * @param[in] input Input tensor info. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: F32/F16/QASYMM8. + * @param[in] input Input tensor info. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: F32/F16/QASYMM8/QASYMM8_SIGNED. * @param[in] weights The 4d weights info with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input. - * @param[in] bias (Optional) The biases have one dimension. Data type supported: Data types supported: S32 for QASYMM8 input, F32 for F32 input, F16 for F16 input. + * @param[in] bias (Optional) The biases have one dimension. Data type supported: Data types supported: S32 for QASYMM8 and QASYMM8_SIGNED input, F32 for F32 input, F16 for F16 input. * @param[in] output Output tensor info. The output has the same number of dimensions as the @p input. * @param[in] info Contains padding and policies to be used in the deconvolution, this is decribed in @ref PadStrideInfo. * @@ -114,23 +116,24 @@ public: void prepare() override; private: - MemoryGroup _memory_group; - NEConvolutionLayer _conv_f; - CPPUpsample _upsample_f; - CPPFlipWeightsKernel _flip_weights; - NEPermute _permute_input; - NEPermute _permute_weights; - NEPermute _permute_output; - Tensor _scaled_output; - Tensor _weights_flipped; - Tensor _permuted_input; - Tensor _permuted_weights; - Tensor _permuted_output; - bool _is_nchw; - const ITensor *_original_weights; - ITensor *_input; - PadStrideInfo _info; - bool _is_prepared; + MemoryGroup _memory_group; + NEConvolutionLayer _conv_f; + CPPUpsample _upsample_f; + NEReverse _flip_weights; + NEPermute _permute_input; + NEPermute _permute_weights; + NEPermute _permute_output; + Tensor _scaled_output; + Tensor _weights_flipped; + Tensor _permuted_input; + Tensor _permuted_weights; + Tensor _permuted_output; + Tensor _flip_axis; + bool _is_nchw; + const ITensor *_original_weights; + ITensor *_input; + PadStrideInfo _info; + bool _is_prepared; }; } // arm_compute #endif /* ARM_COMPUTE_NEDECONVOLUTIONLAYER_H */ |