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Diffstat (limited to 'src/runtime/cpu/operators/CpuDepthwiseConvolution.h')
-rw-r--r-- | src/runtime/cpu/operators/CpuDepthwiseConvolution.h | 230 |
1 files changed, 230 insertions, 0 deletions
diff --git a/src/runtime/cpu/operators/CpuDepthwiseConvolution.h b/src/runtime/cpu/operators/CpuDepthwiseConvolution.h new file mode 100644 index 0000000000..e39cb7db4d --- /dev/null +++ b/src/runtime/cpu/operators/CpuDepthwiseConvolution.h @@ -0,0 +1,230 @@ +/* + * Copyright (c) 2021 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_CPU_DEQUANTIZATION_H +#define ARM_COMPUTE_CPU_DEQUANTIZATION_H + +#include "arm_compute/core/ITensorInfo.h" +#include "arm_compute/core/experimental/Types.h" +#include "src/core/cpu/ICpuKernel.h" +#include "src/core/cpu/kernels/CpuDepthwiseConvolutionNativeKernel.h" +#include "src/runtime/cpu/ICpuOperator.h" +#include "src/runtime/cpu/operators/CpuActivation.h" +#include "src/runtime/cpu/operators/CpuDepthwiseConvolutionAssemblyDispatch.h" +#include "src/runtime/cpu/operators/CpuPermute.h" + +#include <memory> + +namespace arm_compute +{ +namespace cpu +{ +/** Function to execute a depthwise convolution. + */ +class CpuDepthwiseConvolution : public ICpuOperator +{ +public: + /** Default constructor */ + CpuDepthwiseConvolution(); + /** Initialize the function's source, destination, weights and convolution information. + * + * @param[in, out] input Source tensor info. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32 + * @param[out] output Destination tensor info. Data type supported: same as @p input. + * @param[in] weights Weights tensor info. These are 3D tensor infos with shape [kernel_x, kernel_y, IFM]. + * Data type supported: Same as @p input or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8/QASYMM8_SIGNED. + * @param[in] biases Biases tensor info. A 1D tensor with shape [IFM]. Must be nullptr if not needed. + * Data type supported: Same as @p input, S32 when input is QASYMM8/QASYMM8_SIGNED. + * @param[in] info Depthwise convolution meta-data. + */ + void configure(ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *output, const ConvolutionInfo &info); + + /** Static function to check if given info will lead to a valid configuration of @ref CpuDepthwiseConvolution + * + * @param[in] input Source tensor info. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32 + * @param[in] output Destination tensor info. Data type supported: same as @p input. + * @param[in] weights Weights tensor info. These are 3D tensors info with shape [kernel_x, kernel_y, IFM]. + * Data type supported: Same as @p input or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8/QASYMM8_SIGNED. + * @param[in] biases Biases tensor info. A 1D tensor with shape [IFM]. Must be nullptr if not needed. + * Data type supported: Same as @p input, S32 when input is QASYMM8/QASYMM8_SIGNED. + * @param[in] info Depthwise convolution meta-data. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const ConvolutionInfo &info); + + /** Static function to choose the best depthwise convolution function for @ref CpuDepthwiseConvolution + * + * @param[in] input Source tensor info. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32 + * @param[in] weights Weights tensor info. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. + * Data type supported: Same as @p input or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8/QASYMM8_SIGNED. + * @param[in] biases Biases tensor info. A 1D tensor with shape [IFM]. Must be nullptr if not needed. + * Data type supported: Same as @p input, S32 when input is QASYMM8/QASYMM8_SIGNED. + * @param[in] output Destination tensor. Data type supported: same as @p input. + * @param[in] info Depthwise convolution meta-data. + * + * @return a Depthwise Convolution Function + */ + static DepthwiseConvolutionFunction get_depthwiseconvolution_function(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, + const ConvolutionInfo &info); + + // Inherited methods overriden: + void run(ITensorPack &tensors) override; + void prepare(ITensorPack &tensors) override; + +private: + /** Basic function to execute optimized depthwise convolution routines. This function calls the following kernels: + * + * @note At the moment 3x3 and 5x5 convolution of stride 1, 2 are supported + * + * -# @ref NEFillBorderKernel (if pad_x or pad_y > 0) and no assembly kernel implementation is present + * -# @ref CpuDepthwiseConvolution3x3Kernel if 3x3 and no assembly kernel implementation is present + * -# @ref NEDepthwiseConvolutionAssemblyDispatch if assembly kernel implementation is present + * -# @ref NEDirectConvolutionLayerOutputStageKernel if re-quantization of output is required + * -# @ref NEActivationLayer if fused activation is required + * + */ + class CpuDepthwiseConvolutionOptimizedInternal : public ICpuOperator + { + public: + /** Default constructor */ + CpuDepthwiseConvolutionOptimizedInternal(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + CpuDepthwiseConvolutionOptimizedInternal(const CpuDepthwiseConvolutionOptimizedInternal &) = delete; + /** Default move constructor */ + CpuDepthwiseConvolutionOptimizedInternal(CpuDepthwiseConvolutionOptimizedInternal &&) = default; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + CpuDepthwiseConvolutionOptimizedInternal &operator=(const CpuDepthwiseConvolutionOptimizedInternal &) = delete; + /** Default move assignment operator */ + CpuDepthwiseConvolutionOptimizedInternal &operator=(CpuDepthwiseConvolutionOptimizedInternal &&) = default; + /** Default destructor */ + ~CpuDepthwiseConvolutionOptimizedInternal() = default; + /** Initialize the function's source, destination, kernels and border_size. + * + * @param[in, out] input Source tensor info. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32. (Written to only for border filling). + * @param[in] weights Weights tensor info. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. + * @param[in] biases Biases tensor info. A 1D tensor with shape [IFM]. Must be nullptr if not needed. + * Data type supported: Same as @p input, S32 when input is QASYMM8/QASYMM8_SIGNED. + * @param[out] output Destination tensor info. Data type supported: same as @p input. + * @param[in] info Depthwise convolution meta-data. + */ + void configure(ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *output, const ConvolutionInfo &info); + + /** Static function to check if given info will lead to a valid configuration of @ref CpuDepthwiseConvolution3x3 + * + * @param[in] input Source tensor info. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32. (Written to only for border filling). + * @param[in] weights Weights tensor info. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. + * @param[in] biases Biases tensor info. A 1D tensor with shape [IFM]. Must be nullptr if not needed. + * Data type supported: Same as @p input, S32 when input is QASYMM8/QASYMM8_SIGNED. + * @param[in] output Destination tensor info. Data type supported: same as @p input. + * @param[in] info Depthwise convolution meta-data. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const ConvolutionInfo &info); + + // Inherited methods overriden: + void run(ITensorPack &tensors) override; + void prepare(ITensorPack &tensors) override; + + private: + std::unique_ptr<CpuDepthwiseConvolutionAssemblyDispatch> _dwc_optimized_func{ nullptr }; + std::unique_ptr<CpuPermute> _permute_input{ nullptr }; + std::unique_ptr<CpuPermute> _permute_weights{ nullptr }; + std::unique_ptr<CpuPermute> _permute_output{ nullptr }; + std::unique_ptr<CpuActivation> _activationlayer_function{ nullptr }; + bool _has_bias{ false }; + bool _is_quantized{ false }; + bool _is_nchw{ true }; + bool _permute{ false }; + bool _is_activationlayer_enabled{ false }; + bool _is_prepared{ false }; + }; + + /** Basic function to execute a generic depthwise convolution. This function calls the following kernel: + * + * -# @ref CpuDepthwiseConvolutionNativeKernel + * + */ + class CpuDepthwiseConvolutionGeneric : public ICpuOperator + { + public: + /** Default constructor */ + CpuDepthwiseConvolutionGeneric(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + CpuDepthwiseConvolutionGeneric(const CpuDepthwiseConvolutionGeneric &) = delete; + /** Default move constructor */ + CpuDepthwiseConvolutionGeneric(CpuDepthwiseConvolutionGeneric &&) = default; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + CpuDepthwiseConvolutionGeneric &operator=(const CpuDepthwiseConvolutionGeneric &) = delete; + /** Default move assignment operator */ + CpuDepthwiseConvolutionGeneric &operator=(CpuDepthwiseConvolutionGeneric &&) = default; + /** Default destructor */ + ~CpuDepthwiseConvolutionGeneric() = default; + /** Initialize the function's source, destination, weights and convolution information. + * + * @param[in, out] input Source tensor info. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32. (Written to only for border filling). + * @param[out] output Destination tensor info. Data type supported: same as @p input. + * @param[in] weights Weights tensor info. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. + * Data type supported: Same as @p input or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8/QASYMM8_SIGNED. + * @param[in] biases Biases tensor info. A 1D tensor with shape [IFM]. Must be nullptr if not needed. + * Data type supported: Same as @p input, S32 when input is QASYMM8/QASYMM8_SIGNED. + * @param[in] info Depthwise convolution meta-data. + */ + void configure(ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *output, const ConvolutionInfo &info); + + /** Static function to check if given info will lead to a valid configuration of @ref CpuDepthwiseConvolutionGeneric + * + * @param[in] input Source tensor info. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32. (Written to only for border filling). + * @param[in] output Destination tensor info. Data type supported: same as @p input. + * @param[in] weights Weights tensor info. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. + * Data type supported: Same as @p input or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8/QASYMM8_SIGNED. + * @param[in] biases Biases tensor info. A 1D tensor with shape [IFM]. Must be nullptr if not needed. + * Data type supported: Same as @p input, S32 when input is QASYMM8/QASYMM8_SIGNED. + * @param[in] info Depthwise convolution meta-data. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const ConvolutionInfo &info); + + // Inherited methods overridden: + void run(ITensorPack &tensors) override; + void prepare(ITensorPack &tensors) override; + + private: + std::unique_ptr<kernels::CpuDepthwiseConvolutionNativeKernel> _depthwise_conv_kernel{ nullptr }; + std::unique_ptr<CpuPermute> _permute_input{ nullptr }; + std::unique_ptr<CpuPermute> _permute_weights{ nullptr }; + std::unique_ptr<CpuPermute> _permute_output{ nullptr }; + std::unique_ptr<CpuActivation> _activationlayer_function{ nullptr }; + bool _is_nchw{ true }; + bool _is_prepared{ false }; + bool _is_activationlayer_enabled{ false }; + }; + + DepthwiseConvolutionFunction _depth_conv_func; + CpuDepthwiseConvolutionOptimizedInternal _func_optimized; + CpuDepthwiseConvolutionGeneric _func_generic; +}; +} // namespace cpu +} // namespace arm_compute +#endif /* ARM_COMPUTE_CPU_DEQUANTIZATION_H */ |