COMPMID-3638: Move NEON kernels

Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Change-Id: Ieed3e4bc8be7fef80c90c5094599b477a56fc473
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4285
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 0 insertions, 108 deletions

diff --git a/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h b/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h
deleted file mode 100644
index c927aff1eb..0000000000
--- a/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h
+++ /dev/null
@@ -1,108 +0,0 @@
-/*
- * Copyright (c) 2017-2020 Arm Limited.
- *
- * SPDX-License-Identifier: MIT
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to
- * deal in the Software without restriction, including without limitation the
- * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
- * sell copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-#ifndef ARM_COMPUTE_NEDIRECTCONVOLUTIONLAYERKERNEL_H
-#define ARM_COMPUTE_NEDIRECTCONVOLUTIONLAYERKERNEL_H
-
-#include "arm_compute/core/NEON/INEKernel.h"
-
-namespace arm_compute
-{
-class ITensor;
-
-/** NEON interface for Direct Convolution Layer kernel */
-class NEDirectConvolutionLayerKernel : public INEKernel
-{
-public:
-    const char *name() const override
-    {
-        return "NEDirectConvolutionLayerKernel";
-    }
-    /** Default constructor */
-    NEDirectConvolutionLayerKernel();
-    /** Prevent instances of this class from being copied (As this class contains pointers) */
-    NEDirectConvolutionLayerKernel(const NEDirectConvolutionLayerKernel &) = delete;
-    /** Prevent instances of this class from being copied (As this class contains pointers) */
-    NEDirectConvolutionLayerKernel &operator=(const NEDirectConvolutionLayerKernel &) = delete;
-    /** Allow instances of this class to be moved */
-    NEDirectConvolutionLayerKernel(NEDirectConvolutionLayerKernel &&) = default;
-    /** Allow instances of this class to be moved */
-    NEDirectConvolutionLayerKernel &operator=(NEDirectConvolutionLayerKernel &&) = default;
-    /** Default destructor */
-    ~NEDirectConvolutionLayerKernel() = default;
-    /** Set the input, weights, 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 = 1/2/3, stride_y = 1/2/3
-     *
-     * @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: 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[out] output    Output tensor.
-     *                       The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: F16/F32
-     * @param[in]  conv_info Contains padding and stride information described in @ref PadStrideInfo.
-     */
-    void configure(const ITensor *input, const ITensor *weights, ITensor *output, const PadStrideInfo &conv_info);
-    /** Static function to check if given info will lead to a valid configuration of @ref NEDirectConvolutionLayerKernel
-     *
-     * @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: 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] output    Output tensor.
-     *                      The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: F16/F32
-     * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
-     *
-     * @return a status
-     */
-    static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *output, const PadStrideInfo &conv_info);
-
-    // Inherited methods overridden:
-    void run(const Window &window, const ThreadInfo &info) override;
-    BorderSize border_size() const override;
-
-private:
-    /* Template function for optimized convolution NHWC */
-    template <typename T>
-    void convolve_nhwc_optimized(const Window &window);
-
-    /* Template function for convolution NHWC */
-    template <typename T>
-    void convolve_nhwc(const Window &window);
-
-    const ITensor *_input;
-    const ITensor *_weights;
-    ITensor       *_output;
-    PadStrideInfo  _conv_info;
-    BorderSize     _border_size;
-    unsigned int   _kernel_size;
-    unsigned int   _num_weight_elems_read_per_row;
-    unsigned int   _num_elems_read_per_iteration;
-    unsigned int   _num_elems_written_per_iteration;
-};
-} // namespace arm_compute
-#endif /*ARM_COMPUTE_NEDIRECTCONVOLUTIONLAYERKERNEL_H */