COMPMID-1068 Create validate method to CLDepthWiseConvolution

Change-Id: I3301b66a8a072c6ecd0d7f2dabef350017b55ac4
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/128677
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

5 files changed, 59 insertions, 1 deletions

diff --git a/arm_compute/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NCHWKernel.h b/arm_compute/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NCHWKernel.h
index f80985a936..59cdf339bd 100644
--- a/arm_compute/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NCHWKernel.h
+++ b/arm_compute/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NCHWKernel.h
@@ -50,6 +50,22 @@ public:
      */
     void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier,
                    ActivationLayerInfo act_info) override;
+    /** Static function to check if given info will lead to a valid configuration of @ref CLDepthwiseConvolutionLayer3x3NCHWKernel
+     *
+     * @param[in] input            Source tensor. DataType supported: F16/F32/QASYMM8.
+     * @param[in] weights          Weights tensor. A 3D tensor with dimensions [3, 3, IFM]. Data type supported: Same as @p input.
+     * @param[in] biases           Biases tensor. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed.
+     *                             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.
+     * @param[in] act_info         (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU are 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,
+                           ActivationLayerInfo act_info = ActivationLayerInfo(), GPUTarget gpu_target = GPUTarget::MIDGARD);
 
     void run(const Window &window, cl::CommandQueue &queue) override;
     BorderSize border_size() const override;
diff --git a/arm_compute/core/CL/kernels/CLDepthwiseIm2ColKernel.h b/arm_compute/core/CL/kernels/CLDepthwiseIm2ColKernel.h
index 3f3e36100a..00d9cb64e1 100644
--- a/arm_compute/core/CL/kernels/CLDepthwiseIm2ColKernel.h
+++ b/arm_compute/core/CL/kernels/CLDepthwiseIm2ColKernel.h
@@ -60,6 +60,20 @@ public:
      * @param[in]  depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1.
      */
     void configure(const ICLTensor *input, ICLTensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias = false, unsigned int depth_multiplier = 1);
+    /** Static function to check if given info will lead to a valid configuration of @ref CLDepthwiseIm2ColKernel
+     *
+     * @param[in] input            The input tensor 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/F32
+     * @param[in] output           The output tensor. 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.
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, unsigned int depth_multiplier);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLDepthwiseVectorToTensorKernel.h b/arm_compute/core/CL/kernels/CLDepthwiseVectorToTensorKernel.h
index 36d7cadbec..c9ec8e13bf 100644
--- a/arm_compute/core/CL/kernels/CLDepthwiseVectorToTensorKernel.h
+++ b/arm_compute/core/CL/kernels/CLDepthwiseVectorToTensorKernel.h
@@ -58,7 +58,16 @@ public:
      * @param[in]  conv_h The converted tensor's height.
      */
     void configure(const ICLTensor *input, ICLTensor *output, size_t conv_w, size_t conv_h);
-
+    /** Static function to check if given info will lead to a valid configuration of @ref CLDepthwiseVectorToTensorKernel
+     *
+     * @param[in] input  The input vector to convert. Data type supported: QASYMM8/S32/F16/F32.
+     * @param[in] output The output tensor. 3 lower dimensions represent a single input [width, height, IFM]. Data type supported: same as @p input.
+     * @param[in] conv_w The converted tensor's width.
+     * @param[in] conv_h The converted tensor's height.
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output, size_t conv_w, size_t conv_h);
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
 
diff --git a/arm_compute/core/CL/kernels/CLDepthwiseWeightsReshapeKernel.h b/arm_compute/core/CL/kernels/CLDepthwiseWeightsReshapeKernel.h
index 1c1eaca474..34ffa17c2b 100644
--- a/arm_compute/core/CL/kernels/CLDepthwiseWeightsReshapeKernel.h
+++ b/arm_compute/core/CL/kernels/CLDepthwiseWeightsReshapeKernel.h
@@ -56,6 +56,16 @@ public:
      * @param[in]  biases (Optional) The input biases to add. Shape [IFM]. Data type supported: same as @p input.
      */
     void configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *biases = nullptr);
+    /** Static function to check if given info will lead to a valid configuration of @ref CLDepthwiseWeightsReshapeKernel
+     *
+     * @param[in] input  The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM].
+     *                   Data type supported: QASYMM8/F32.
+     * @param[in] output The output tensor. Data type supported: same as @p input.
+     * @param[in] biases (Optional) The input biases to add. Shape [IFM]. Data type supported: same as @p input.
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *biases = nullptr);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.h b/arm_compute/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.h
index c27307e63b..6390f86d2c 100644
--- a/arm_compute/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.h
@@ -51,6 +51,15 @@ public:
      * @param[out] output The output 2D tensor. Data types supported: Same as @p input
      */
     void configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output);
+    /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMMatrixVectorMultiplyKernel
+     *
+     * @param[in] input0 The reshaped input tensor. Data types supported: QASYMM8/F16/F32
+     * @param[in] input1 The 2D reshaped weights tensor. Data type supported: Same as @p input, S32 for QASYMM8 input.
+     * @param[in] output The output 2D tensor. Data types supported: Same as @p input
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;