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author | Abe Mbise <abe.mbise@arm.com> | 2018-05-31 16:48:41 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
commit | 7784c837afd5844fb6dc4d166ff253d983abfd2d (patch) | |
tree | 3bc770240de148d565aa828e8f3471c354ac3837 /arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayer3x3Kernel.h | |
parent | b03f7c5c780fe2df23eb8c5c1b4b1d65bd7f0339 (diff) | |
download | ComputeLibrary-7784c837afd5844fb6dc4d166ff253d983abfd2d.tar.gz |
COMPMID-1167: Validation for NEDepthwiseConvolutionLayer
Change-Id: I9689e1a0627dc015dd2ce98417e4c97bb55581bb
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/131327
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayer3x3Kernel.h')
-rw-r--r-- | arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayer3x3Kernel.h | 21 |
1 files changed, 19 insertions, 2 deletions
diff --git a/arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayer3x3Kernel.h b/arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayer3x3Kernel.h index bd9e7eb781..3ffafd858f 100644 --- a/arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayer3x3Kernel.h +++ b/arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayer3x3Kernel.h @@ -53,8 +53,10 @@ public: NEDepthwiseConvolutionLayer3x3Kernel &operator=(NEDepthwiseConvolutionLayer3x3Kernel &&) = default; /** Initialize the function's source, destination, conv and border_size. * + * @note Supported data layouts: NCHW and NHWC + * * @param[in] input Source tensor. DataType supported: QASYMM8, F32. - * @param[in] weights Weights tensor. This is a 3D tensor with dimensions [3, 3, IFM]. Data type supported: Same as @p input. + * @param[in] weights Weights tensor. This is a 3D tensor with dimensions [3, 3, IFM] for NCHW or [IFM, 3, 3] if NHWC data layout. Data type supported: Same as @p input. * @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 (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. @@ -66,8 +68,8 @@ public: * @param[in] input_shape Input shape * @param[in] conv_info Padding and stride information to use for the convolution. * @param[in] dt Data type of the input and weights - * @param[in] data_layout (Optional) Data layout of the input and weights tensor * @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] data_layout (Optional) Data layout of the input and weights tensor * * @return True if the optimized kernels can be executed else false */ @@ -75,6 +77,20 @@ public: /** Generates the convolver object */ void generate_convolver(); + /** Static function to check if given info will lead to a valid configuration of @ref NEDepthwiseConvolutionLayer3x3Kernel + * + * @note Supported data layouts: NCHW and NHWC + * + * @param[in] input Source tensor. DataType supported: QASYMM8, F32. + * @param[in] weights Weights tensor. This is a 3D tensor with dimensions [3, 3, IFM] for NCHW or [IFM, 3, 3] if NHWC data layout. Data type supported: Same as @p input. + * @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 *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1); + // Inherited methods overridden: void run(const Window &window, const ThreadInfo &info) override; BorderSize border_size() const override; @@ -82,6 +98,7 @@ public: private: void configure_generic(); void configure_optimized(); + void run_generic(const Window &window, const ThreadInfo &info); void run_optimized(const Window &window, const ThreadInfo &info); /** Creates an optimized backend convolver object |