Move CPU/GPU files from Core/Runtime to the respective backend folders

Legacy structure contained two libraries core/runtime with two backends
in each.
We reduce the core/runtime libraries to a single library thus merging
the backend files

Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I69545765fe7a730368105cdbd067d3135ec7a174
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6155
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 0 insertions, 185 deletions

diff --git a/src/runtime/gpu/cl/operators/ClGemmConv2d.h b/src/runtime/gpu/cl/operators/ClGemmConv2d.h
deleted file mode 100644
index e16d029e71..0000000000
--- a/src/runtime/gpu/cl/operators/ClGemmConv2d.h
+++ /dev/null
@@ -1,185 +0,0 @@
-/*
- * Copyright (c) 2021 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_CL_GEMM_CONV2D_H
-#define ARM_COMPUTE_CL_GEMM_CONV2D_H
-
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/FunctionDescriptors.h"
-#include "src/core/gpu/cl/ClCompileContext.h"
-#include "src/runtime/gpu/cl/IClOperator.h"
-
-#include <memory>
-
-namespace arm_compute
-{
-namespace opencl
-{
-class ClGemm;
-class ClGemmLowpMatrixMultiplyCore;
-namespace kernels
-{
-class ClIm2ColKernel;
-class ClCol2ImKernel;
-class ClWeightsReshapeKernel;
-class ClActivationKernel;
-} // namespace kernels
-
-/** Basic function to compute the convolution layer. This function calls the following OpenCL kernels/functions:
- *
- * -# @ref opencl::kernels::ClIm2ColKernel
- * -# @ref ClGemm (if the data type is FP32 or FP16)
- * -# @ref CLGEMMLowpMatrixMultiplyCore (if the data type is QASYMM8/QASYMM8_SIGNED)
- * -# @ref ClGemmLowpOutputStage with QUANTIZE_DOWN_FIXEDPOINT type of quantization (if the data type is QASYMM8/QASYMM8_SIGNED)
- * -# @ref opencl::kernels::ClCol2ImKernel (if NCHW data layout)
- * -# @ref opencl::kernels::ClActivationKernel
- */
-class ClGemmConv2d : public IClOperator
-{
-public:
-    /** Constructor */
-    ClGemmConv2d();
-    /** Prevent instances of this class from being copied (As this class contains pointers) */
-    ClGemmConv2d(const ClGemmConv2d &) = delete;
-    /** Default move constructor */
-    ClGemmConv2d(ClGemmConv2d &&) = default;
-    /** Prevent instances of this class from being copied (As this class contains pointers) */
-    ClGemmConv2d &operator=(const ClGemmConv2d &) = delete;
-    /** Default move assignment operator */
-    ClGemmConv2d &operator=(ClGemmConv2d &&) = default;
-    /**Default destructor */
-    ~ClGemmConv2d();
-    /** Set the input and output tensors.
-     *
-     * Valid data layouts:
-     * - NHWC
-     * - NCHW
-     *
-     * Valid data type configurations:
-     * |src0           |src1               |src2     |dst            |
-     * |:--------------|:------------------|:--------|:--------------|
-     * |F16            |F16                |F16      |F16            |
-     * |F32            |F32                |F32      |F32            |
-     * |QASYMM8        |QASYMM8            |S32      |QASYMM8        |
-     * |QASYMM8        |QSYMM8_PER_CHANNEL |S32      |QASYMM8        |
-     * |QASYMM8_SIGNED |QASYMM8_SIGNED     |S32      |QASYMM8_SIGNED |
-     * |QASYMM8_SIGNED |QSYMM8_PER_CHANNEL |S32      |QASYMM8_SIGNED |
-     *
-     * @param[in]  compile_context The compile context to be used.
-     * @param[in]  src             Source tensor info. 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/QASYMM8_SIGNED/F16/F32.
-     * @param[in]  weights         Weights tensor info. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
-     *                             Data type supported: Same as @p input or QASYMM8/QSYMM8_PER_CHANNEL when @p input is QASYMM8 or QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8_SIGNED.
-     * @param[in]  biases          Biases tensor info. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
-     *                             Data type supported: Should match @p input data type, except for input of quantized type where biases should be of S32 type.
-     * @param[out] dst             Destination tensor info. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.
-     *                             Data types supported: Same as @p input.
-     * @param[in]  conv2d_info     Contains convolution 2d info described in @ref Conv2dInfo.
-     * @param[in]  weights_info    Specifies if the weights tensor has been reshaped with CLWeightsReshapeKernel. If this is not part of the fully connected layer the weights
-     *                             tensor has also been transposed with CLGEMMReshapeRHSMatrixKernel. Data type supported: Same as @p input.
-     */
-    void configure(const ClCompileContext &compile_context, ITensorInfo *src, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *dst, const Conv2dInfo &conv2d_info,
-                   const WeightsInfo &weights_info = WeightsInfo());
-    /** Static function to check if given info will lead to a valid configuration
-     *
-     * Similar to ClGemmConvolution::configure()
-     *
-     * @return a status
-     */
-    static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const Conv2dInfo &conv2d_info,
-                           const WeightsInfo &weights_info = WeightsInfo());
-
-    // Inherited methods overridden:
-    void run(ITensorPack &tensors) override;
-    void prepare(ITensorPack &constants) override;
-    experimental::MemoryRequirements workspace() const override;
-
-private:
-    /** Configures the appropriate matrix multiply routine
-     *
-     * @param[in]      compile_context       The compile context to be used.
-     * @param[in]      src                   Input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
-     * @param[in]      weights               Weights tensor info. Data type supported: Same as @p input or QASYMM8/QSYMM8_PER_CHANNEL when @p input is QASYMM8 or
-     *                                       QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8_SIGNED.
-     * @param[in]      biases                Biases tensor info. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
-     *                                       Data type supported: Should match @p input data type, except for input of quantized type where biases should be of S32 type.
-     * @param[in, out] dst                   Output tensor info. Data types supported: same as @p input.
-     * @param[in]      gemmlowp_output_stage GEMMLowp output stage info
-     * @param[in]      gemm_3d_depth         Depth of GEMM 3D
-     * @param[in]      act_info              Activation to apply after the matrix multiplication
-     */
-    void configure_mm(const CLCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *dst,
-                      const GEMMLowpOutputStageInfo &gemmlowp_output_stage,
-                      int gemm_3d_depth, const ActivationLayerInfo &act_info);
-    /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMConvolutionLayer matrix multiply routines
-     *
-     * @param[in] src                   Input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
-     * @param[in] weights               Weights tensor info. Data type supported: Same as @p input or QASYMM8/QSYMM8_PER_CHANNEL when @p input is QASYMM8 or
-     *                                  QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8_SIGNED.
-     * @param[in] biases                Biases tensor info. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
-     *                                  Data type supported: Should match @p input data type, except for input of quantized type where biases should be of S32 type.
-     * @param[in] dst                   Output tensor info. Data types supported: same as @p input.
-     * @param[in] gemmlowp_output_stage GEMMLowp output stage info
-     * @param[in] gemm_3d_depth         Depth of GEMM 3D
-     * @param[in] skip_im2col           Flag which specifies if im2col has to be skipped. i.e. 1x1 convolution with NHWC data layout.
-     * @param[in] act_info              Activation to apply after the matrix multiplication
-     *
-     * @return a status
-     */
-    static Status validate_mm(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst, const GEMMLowpOutputStageInfo &gemmlowp_output_stage,
-                              int gemm_3d_depth, bool skip_im2col, const ActivationLayerInfo &act_info);
-
-    enum AuxTensorIdx
-    {
-        // ClGemmLowpMatrixMultiplyCore has up to 7 internal tensors
-        Im2ColOutput = 8,
-        WeightsReshaped,
-        GemmOutput,
-        Count
-    };
-
-    std::unique_ptr<kernels::ClWeightsReshapeKernel> _weights_reshape_kernel;
-    std::unique_ptr<kernels::ClIm2ColKernel>         _im2col_kernel;
-    std::unique_ptr<ClGemm>                          _mm_gemm;
-    std::unique_ptr<ClGemmLowpMatrixMultiplyCore>    _mm_gemmlowp;
-    std::unique_ptr<opencl::kernels::ClCol2ImKernel> _col2im_kernel;
-    std::unique_ptr<kernels::ClActivationKernel>     _activation_kernel;
-
-    TensorInfo _im2col_output;
-    TensorInfo _weights_reshaped;
-    TensorInfo _gemm_output;
-
-    bool _skip_im2col;
-    bool _skip_col2im;
-    bool _is_quantized;
-    bool _fuse_activation;
-    bool _append_bias;
-    bool _is_prepared;
-
-    experimental::MemoryRequirements _aux_mem;
-};
-} // namespace opencl
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_CL_GEMM_CONV2D_H */