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>

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