From ad0c7388f6261989a268ffb2d042f2bd80736e3f Mon Sep 17 00:00:00 2001 From: Giorgio Arena Date: Mon, 23 Apr 2018 16:16:21 +0100 Subject: COMPMID-1068 Create validate method to CLDepthWiseConvolution Change-Id: I3301b66a8a072c6ecd0d7f2dabef350017b55ac4 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/128677 Tested-by: Jenkins Reviewed-by: Anthony Barbier --- .../CL/functions/CLDepthwiseConvolutionLayer.h | 30 ++++++++++++++++++++++ 1 file changed, 30 insertions(+) (limited to 'arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h') diff --git a/arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h index 6e5ce4cd48..b1eb4b9e04 100644 --- a/arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h +++ b/arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h @@ -67,6 +67,22 @@ public: void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1, ActivationLayerInfo act_info = ActivationLayerInfo()); + /** Static function to check if given info will lead to a valid configuration of @ref CLDepthwiseConvolutionLayer3x3 + * + * @param[in] input Source tensor. Data type supported: QASYMM8 for all layouts, F16/F32 for NCHW. + * @param[in] weights Weights tensor. A 3D tensor with shape [3, 3, 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. + * @param[in] 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 (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. + * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU for 3x3 QASYMM8 supported. + * @param[in] gpu_target (Optional) GPU target to validate the kernel for. Defaults to midgard. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1, + ActivationLayerInfo act_info = ActivationLayerInfo(), GPUTarget gpu_target = GPUTarget::MIDGARD); // Inherited methods overriden: void run() override; @@ -108,6 +124,20 @@ public: */ void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1); + /** Static function to check if given info will lead to a valid configuration of @ref CLDepthwiseConvolutionLayer + * + * @param[in] input Source tensor. Data type supported: QASYMM8/F32. + * @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. + * @param[in] 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 (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier); + // Inherited methods overriden: void run() override; -- cgit v1.2.1