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Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEFFTConvolutionLayer.h')
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diff --git a/arm_compute/runtime/NEON/functions/NEFFTConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEFFTConvolutionLayer.h new file mode 100644 index 0000000000..32c6eaa569 --- /dev/null +++ b/arm_compute/runtime/NEON/functions/NEFFTConvolutionLayer.h @@ -0,0 +1,154 @@ +/* + * Copyright (c) 2019 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_NEFFTCONVOLUTIONLAYER_H__ +#define __ARM_COMPUTE_NEFFTCONVOLUTIONLAYER_H__ + +#include "arm_compute/runtime/IFunction.h" + +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/NEON/functions/NEActivationLayer.h" +#include "arm_compute/runtime/NEON/functions/NEArithmeticAddition.h" +#include "arm_compute/runtime/NEON/functions/NEFFT2D.h" +#include "arm_compute/runtime/NEON/functions/NEPadLayer.h" +#include "arm_compute/runtime/NEON/functions/NEPermute.h" +#include "arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h" +#include "arm_compute/runtime/NEON/functions/NEReductionOperation.h" +#include "arm_compute/runtime/NEON/functions/NEReshapeLayer.h" +#include "arm_compute/runtime/NEON/functions/NEReverse.h" +#include "arm_compute/runtime/NEON/functions/NESlice.h" + +namespace arm_compute +{ +// Forward declarations +class ITensor; + +/** Basic function to execute FFT-based convolution on NEON. This function calls the following NEON functions/kernels: + * + * -# @ref NEPermute Permute input if NHWC(only NCHW is supported). + * -# @ref NEPadLayer Pad input. + * -# @ref NEFFT2D Forward transform to the frequency domain. + * -# @ref NEComplexPixelWiseMultiplication Complex element-wise product of input and the weights. + * -# @ref NEReductionOperation Reduction across channels. + * -# @ref NEFFT2D Inverse transform back to the time domain. + * -# @ref NEStridedSlice Extract valid output. + * -# @ref NEArithmeticAddition Add bias. + * -# @ref NEActivationLayer Perform activation. + * -# @ref NEPermute Permute output if NHWC(only NCHW is supported). + */ +class NEFFTConvolutionLayer : public IFunction +{ +public: + /** Default constructor */ + NEFFTConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEFFTConvolutionLayer(const NEFFTConvolutionLayer &) = delete; + /** Default move constructor */ + NEFFTConvolutionLayer(NEFFTConvolutionLayer &&) = default; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEFFTConvolutionLayer &operator=(const NEFFTConvolutionLayer &) = delete; + /** Default move assignment operator */ + NEFFTConvolutionLayer &operator=(NEFFTConvolutionLayer &&) = default; + /** Set the input and output tensors. + * + * @note: This function only works with any square kernel size and unit strides for both NCHW and NHWC data layout + * + * @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: 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: Same as @p input + * @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] act_info (Optional) Activation layer information in case of a fused activation. + */ + void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, + const ActivationLayerInfo &act_info = ActivationLayerInfo()); + /** Static function to check if given info will lead to a valid configuration of @ref NEFFTConvolutionLayer + * + * @note: This function only works with any square kernel size and unit strides for both NCHW and NHWC data layout + * + * @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: 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: Same as @p input + * @param[in] 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] act_info (Optional) Activation layer information in case of a fused activation. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, + const ActivationLayerInfo &act_info = ActivationLayerInfo()); + + // Inherited methods overridden: + void run() override; + void prepare() override; + +private: + MemoryGroup _memory_group; + NEReverse _flip_weights_func; + NEPermute _permute_input_func; + NEPermute _permute_output_func; + NEPermute _permute_weights_func; + NEPermute _permute_bias_func; + NEPadLayer _pad_input_func; + NEPadLayer _pad_weights_func; + NEFFT2D _transform_input_func; + std::unique_ptr<NEFFT2D> _transform_weights_func; + NEFFT2D _itransform_output_func; + NEComplexPixelWiseMultiplication _prod_func; + NEReductionOperation _reduce_func; + NESlice _extract_output_func; + NEArithmeticAddition _bias_add_func; + NEActivationLayer _activation_layer_func; + + Tensor _permuted_input; + Tensor _permuted_weights; + Tensor _permuted_bias; + Tensor _permuted_output; + Tensor _padded_input; + Tensor _padded_weights; + Tensor _flip_axis; + Tensor _flipped_weights; + Tensor _transformed_input; + Tensor _transformed_weights; + Tensor _input_weights_product; + Tensor _output_product; + Tensor _output_reduced; + Tensor _itransformed_output; + Tensor _reshaped_output; + Tensor _bias_output; + + const ITensor *_original_weights; + const ITensor *_original_bias; + bool _is_activationlayer_enabled; + bool _needs_permute; + bool _has_bias; + bool _is_prepared; +}; +} // namespace arm_compute +#endif /* __ARM_COMPUTE_NEFFTCONVOLUTIONLAYER_H__ */ |