COMPMID-3280: Make all ML primitives for CL use the new interface - Part 1

- Only CLKernels have been updated

Change-Id: Ife55b847c2e39e712a186eb6ca452503d5b66937
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3001
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 21 insertions, 0 deletions

diff --git a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h
index 5bf9a5d57f..f1409b6339 100644
--- a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h
@@ -68,6 +68,27 @@ public:
      * @param[in]  conv_info Contains padding and stride information described in @ref PadStrideInfo.
      */
     void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info);
+    /** Set the input, weights, biases and output tensors.
+     *
+     * @note: DirectConvolution only works in the following configurations:
+     *        1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3
+     *        3x3 convolution with stride_x = 1/2, stride_y = 1/2
+     *        5x5 convolution with stride_x = 1/2, stride_y = 1/2
+     *        9x9 convolution with stride_x = 1/2, stride_y = 1/2, data_layout=NHWC
+     *
+     * @param[in]  compile_context The compile context to be used.
+     * @param[in]  input           The input tensor to convolve. 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_SIGNED/QASYMM8/F16/F32.
+     * @param[in]  weights         Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
+     *                             The 3rd dimension must be the same as the input's volume 3rd dimension.
+     *                             Data type supported:Same as @p input.
+     * @param[in]  biases          Biases tensor. Biases are 1D tensor with dimension [OFM].
+     *                             Data type supported: Should match @p input data type, except for input of QASYMM8 and QASYMM8_SIGNED type where biases should be of S32 type
+     * @param[out] output          Output tensor.
+     *                             The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: Same as @p input.
+     * @param[in]  conv_info       Contains padding and stride information described in @ref PadStrideInfo.
+     */
+    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info);
     /** Static function to check if given info will lead to a valid configuration of @ref CLDirectConvolutionLayerKernel
      *
      * @param[in] input     The input tensor to convolve. 3 lower dimensions represent a single input [width, height, IFM],