COMPMID-2048: Add support for dilation in NEDepthwiseConvolution.

Change-Id: If9941e770779fbf918ba5ff0573da9378078b969
Signed-off-by: Usama Arif <usama.arif@arm.com>
Reviewed-on: https://review.mlplatform.org/c/999
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Marquez <pablo.tello@arm.com>

1 files changed, 10 insertions, 5 deletions

diff --git a/arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h b/arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h
index de671361d6..3e123b4839 100644
--- a/arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h
+++ b/arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -62,23 +62,27 @@ public:
      * @param[in]  conv_info        Contains padding and stride information described in @ref PadStrideInfo.
      * @param[in]  has_bias         Boolean that specifies if the depthwise convolution has bias.
      * @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).
      */
-    void configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias = false, unsigned int depth_multiplier = 1);
+    void configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias = false, unsigned int depth_multiplier = 1,
+                   const Size2D &dilation = Size2D(1U, 1U));
 
     /** Static function to check if given info will lead to a valid configuration of @ref NEDepthwiseIm2ColKernel
      *
-     * @param[in] input            The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM],
+     * @param[in] input            The input tensor info to convert. 3 lower dimensions represent a single input [width, height, IFM],
      *                             while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F16/F32
-     * @param[in] output           The output tensor. First 3 lower dimensions represent a transform of each 3D input,
+     * @param[in] output           The output tensor info. First 3 lower dimensions represent a transform of each 3D input,
      *                             while every dimension above 3 represents a batch. Data types supported: Same as @p input
      * @param[in] kernel_dims      The kernel dimensions (width and height).
      * @param[in] conv_info        Contains padding and stride information described in @ref PadStrideInfo.
      * @param[in] has_bias         Boolean that specifies if the depthwise convolution has bias.
      * @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).
      *
      * @return a status
      */
-    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias = false, unsigned int depth_multiplier = 1);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias = false, unsigned int depth_multiplier = 1,
+                           const Size2D &dilation = Size2D(1U, 1U));
 
     // Inherited methods overridden:
     void run(const Window &window, const ThreadInfo &info) override;
@@ -104,6 +108,7 @@ private:
     PadStrideInfo              _conv_info;
     bool                       _has_bias;
     unsigned int               _depth_multiplier;
+    Size2D                     _dilation;
 };
 } // namespace arm_compute
 #endif /*__ARM_COMPUTE_NEDEPTHWISEIM2COLKERNEL_H__ */