Remove (NE/CL)YoloLayer support

YOLO layer is too specialized and specific to a single model type. Can
be decomposed using split, activation and concatenate layers

Partially Resolves: COMPMID-3996

Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I3cde88f8d4cc7d8c70ce1bb3b32b00f8d09bdca2
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4678
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>

1 files changed, 0 insertions, 98 deletions

diff --git a/src/core/CL/kernels/CLYOLOLayerKernel.h b/src/core/CL/kernels/CLYOLOLayerKernel.h
deleted file mode 100644
index 5b1d56e9e5..0000000000
--- a/src/core/CL/kernels/CLYOLOLayerKernel.h
+++ /dev/null
@@ -1,98 +0,0 @@
-/*
- * Copyright (c) 2018-2020 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_CLYOLOLAYERKERNEL_H
-#define ARM_COMPUTE_CLYOLOLAYERKERNEL_H
-
-#include "src/core/CL/ICLKernel.h"
-
-namespace arm_compute
-{
-class ICLTensor;
-
-/** Interface for the YOLO layer kernel that performs partial activation.
- *  For each box, activate only:
- *    - x and y position (channel 0 and 1 of each box)
- *    - objectiveness    (channel 4 of each box)
- *    - classes          (channel 5 to (classes - 5) of each box)
- */
-class CLYOLOLayerKernel : public ICLKernel
-{
-public:
-    /** Default constructor */
-    CLYOLOLayerKernel();
-    /** Prevent instances of this class from being copied (As this class contains pointers) */
-    CLYOLOLayerKernel(const CLYOLOLayerKernel &) = delete;
-    /** Prevent instances of this class from being copied (As this class contains pointers) */
-    CLYOLOLayerKernel &operator=(const CLYOLOLayerKernel &) = delete;
-    /** Allow instances of this class to be moved */
-    CLYOLOLayerKernel(CLYOLOLayerKernel &&) = default;
-    /** Allow instances of this class to be moved */
-    CLYOLOLayerKernel &operator=(CLYOLOLayerKernel &&) = default;
-    /** Default destructor */
-    ~CLYOLOLayerKernel() = default;
-    /** Set the input and output tensor.
-     *
-     * @note If the output tensor is a nullptr, the activation function will be performed in-place
-     *
-     * @param[in, out] input       Source tensor. In case of @p output tensor = nullptr, this tensor will store the result
-     *                             of the activation function. Data types supported: F16/F32.
-     * @param[out]     output      Destination tensor. Data type supported: same as @p input
-     * @param[in]      act_info    Activation layer information.
-     * @param[in]      num_classes Number of classes to activate (must be submultiple of @p input channels)
-     */
-    void configure(ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes);
-    /** Set the input and output tensor.
-     *
-     * @note If the output tensor is a nullptr, the activation function will be performed in-place
-     *
-     * @param[in]      compile_context The compile context to be used.
-     * @param[in, out] input           Source tensor. In case of @p output tensor = nullptr, this tensor will store the result
-     *                                 of the activation function. Data types supported: F16/F32.
-     * @param[out]     output          Destination tensor. Data type supported: same as @p input
-     * @param[in]      act_info        Activation layer information.
-     * @param[in]      num_classes     Number of classes to activate (must be submultiple of @p input channels)
-     */
-    void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes);
-    /** Static function to check if given info will lead to a valid configuration of @ref CLYOLOLayerKernel
-     *
-     * @param[in] input       Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result
-     *                        of the activation function. Data types supported: F16/F32.
-     * @param[in] output      Destination tensor info. Data type supported: same as @p input
-     * @param[in] act_info    Activation layer information.
-     * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels)
-     *
-     * @return a status
-     */
-    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes);
-
-    // Inherited methods overridden:
-    void run(const Window &window, cl::CommandQueue &queue) override;
-
-private:
-    ICLTensor *_input;
-    ICLTensor *_output;
-    bool       _run_in_place;
-};
-} // namespace arm_compute
-#endif /*ARM_COMPUTE_CLYOLOLAYERKERNEL_H */