diff options
Diffstat (limited to 'src/core/CL/kernels/CLDepthwiseConvolutionLayerNativeKernel.h')
| -rw-r--r-- | src/core/CL/kernels/CLDepthwiseConvolutionLayerNativeKernel.h | 46 |
1 files changed, 21 insertions, 25 deletions
diff --git a/src/core/CL/kernels/CLDepthwiseConvolutionLayerNativeKernel.h b/src/core/CL/kernels/CLDepthwiseConvolutionLayerNativeKernel.h index 068131f434..eeed115832 100644 --- a/src/core/CL/kernels/CLDepthwiseConvolutionLayerNativeKernel.h +++ b/src/core/CL/kernels/CLDepthwiseConvolutionLayerNativeKernel.h @@ -47,23 +47,21 @@ public: CLDepthwiseConvolutionLayerNativeKernel(CLDepthwiseConvolutionLayerNativeKernel &&) = default; /** Allow instances of this class to be moved */ CLDepthwiseConvolutionLayerNativeKernel &operator=(CLDepthwiseConvolutionLayerNativeKernel &&) = default; + /** Initialize the function's source, destination and parameters * - * @param[in] compile_context The compile context to be used. - * @param[in,out] input Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/FP32/FP16. Data layout supported: NHWC - * @param[in] weights Weights tensor. A 3D tensor with dimensions [IFM, N, M]. - * Data type supported: Same as @p input or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8. - * @param[in] biases Biases tensor. A 1D tensor with dimensions [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. Pass in nullptr or @p input for in-place operation. Data type supported: Same as @p input. - * @param[in] dwc_weights_info Depthwise convolution layer weights info to retrieve the number of output elements processed by each thread - * @param[in] dwc_info Depthwise convolution layer info - * @param[in] conv_info Padding and stride information to use for the convolution. - * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. - * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). - * @param[in] output_multipliers (Optional) Output multipliers tensor for quantized computations. In case of per-channel quantization, - * the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 - * @param[in] output_shifts (Optional) Output shifts tensor for quantized computations. In case of per-channel quantization, + * @param[in] compile_context The compile context to be used. + * @param[in] input Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/FP32/FP16. Data layout supported: NHWC + * @param[in] weights Weights tensor. A 3D tensor with dimensions [IFM, N, M]. + * Data type supported: Same as @p input or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8. + * @param[in] biases Biases tensor. A 1D tensor with dimensions [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. Pass in nullptr or @p input for in-place operation. Data type supported: Same as @p input. + * @param[in] dwc_info Depthwise convolution layer info + * @param[in] conv_info Convolution info (padding, stride, dilation, ...) + * @param[in] output_multipliers (Optional) Output multipliers tensor for quantized computations. In case of per-channel quantization, + * the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 + * @param[in] output_shifts (Optional) Output shifts tensor for quantized computations. In case of per-channel quantization, * the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 * * @note: In-place is only supported when @@ -75,17 +73,15 @@ public: * * no padding * * no change of data layout after configure */ - void configure(const CLCompileContext &compile_context, ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const DWCWeightsKernelInfo &dwc_weights_info, - const DWCKernelInfo &dwc_info, const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1, const Size2D &dilation = Size2D(1U, 1U), - const ICLTensor *output_multipliers = nullptr, const ICLTensor *output_shifts = nullptr); + void configure(const CLCompileContext &compile_context, ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const DWCComputeKernelInfo &dwc_info, + const ConvolutionInfo &conv_info, const ICLTensor *output_multipliers = nullptr, const ICLTensor *output_shifts = nullptr); - /** Initialize the function's source, destination and parameters + /** Static function to check if given info will lead to a valid configuration of @ref CLDepthwiseConvolutionLayerNativeKernel * * Similar to @ref CLDepthwiseConvolutionLayerNativeKernel::configure() */ - void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const DWCWeightsKernelInfo &dwc_weights_info, - const DWCKernelInfo &dwc_info, const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1, const Size2D &dilation = Size2D(1U, 1U), - const ICLTensor *output_multipliers = nullptr, const ICLTensor *output_shifts = nullptr); + void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const DWCComputeKernelInfo &dwc_info, + const ConvolutionInfo &conv_info, const ICLTensor *output_multipliers = nullptr, const ICLTensor *output_shifts = nullptr); /** Static function to check if given info will lead to a valid configuration of @ref CLDepthwiseConvolutionLayerNativeKernel * @@ -93,9 +89,8 @@ public: * * @return a status */ - static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const DWCWeightsKernelInfo &dwc_weights_info, - const DWCKernelInfo &dwc_info, const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1, const Size2D &dilation = Size2D(1U, 1U), - const ITensorInfo *output_multipliers = nullptr, const ITensorInfo *output_shifts = nullptr); + static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const DWCComputeKernelInfo &dwc_info, + const ConvolutionInfo &conv_info, const ITensorInfo *output_multipliers = nullptr, const ITensorInfo *output_shifts = nullptr); // Inherited methods overridden: void run(const Window &window, cl::CommandQueue &queue) override; @@ -108,6 +103,7 @@ private: unsigned int _depth_multiplier{ 0 }; const ICLTensor *_output_multipliers{}; const ICLTensor *_output_shifts{}; + bool _export_to_cl_image { true }; bool _is_quantized{ false }; }; } // namespace arm_compute |