diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h | 36 |
1 files changed, 0 insertions, 36 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h index 116ac16ce7..3b75bb11a7 100644 --- a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h +++ b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h @@ -24,7 +24,6 @@ #ifndef ARM_COMPUTE_NEDEPTHWISECONVOLUTION_H #define ARM_COMPUTE_NEDEPTHWISECONVOLUTION_H -#include "arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayer3x3Kernel.h" #include "arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h" #include "arm_compute/core/NEON/kernels/NEDirectConvolutionLayerOutputStageKernel.h" #include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h" @@ -171,41 +170,7 @@ private: void prepare() override; private: - /** Configure the kernels/functions for the generic pipeline. - * - * @param[in, out] input Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32. (Written to only for border filling). - * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. - * @param[in] biases Biases tensor. 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. Data type supported: same as @p input. - * @param[in] conv_info Padding and stride information to use for the convolution. - * @param[in] depth_multiplier Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. - * @param[in] act_info Activation layer information in case of a fused activation. - * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). - * - */ - void configure_generic(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, - unsigned int depth_multiplier, const ActivationLayerInfo &act_info, const Size2D &dilation = Size2D(1U, 1U)); - /** Configure the kernels/functions for the optimized pipeline. - * - * @param[in] input Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32. (Written to only for border filling). - * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. - * @param[in] biases Biases tensor. 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. Data type supported: same as @p input. - * @param[in] conv_info Padding and stride information to use for the convolution. - * @param[in] depth_multiplier Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. - * @param[in] act_info Activation layer information in case of a fused activation. - */ - void configure_optimized(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, - unsigned int depth_multiplier, const ActivationLayerInfo &act_info, const Size2D &dilation = Size2D(1U, 1U)); - /** Run generic kernel */ - void run_generic(); - /** Run optimized function */ - void run_optimized(); - MemoryGroup _memory_group; - NEDepthwiseConvolutionLayer3x3Kernel _dwc_kernel; NEDepthwiseConvolutionAssemblyDispatch _dwc_optimized_func; NEDirectConvolutionLayerOutputStageKernel _output_stage_kernel; NEFillBorderKernel _border_handler; @@ -220,7 +185,6 @@ private: const ITensor *_original_weights; bool _has_bias; bool _is_quantized; - bool _is_optimized; bool _is_nchw; bool _permute; bool _is_activationlayer_enabled; |