COMPMID-2109: Remove CL/NE Width/Depth ConcatenateLayer functions.

Change-Id: Icbda771abffbb45d4ed0958933c60ff9ace01314
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1178
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 0 insertions, 143 deletions

diff --git a/src/runtime/CL/functions/CLWidthConcatenateLayer.cpp b/src/runtime/CL/functions/CLWidthConcatenateLayer.cpp
deleted file mode 100644
index a8667c3138..0000000000
--- a/src/runtime/CL/functions/CLWidthConcatenateLayer.cpp
+++ /dev/null
@@ -1,143 +0,0 @@
-/*
- * Copyright (c) 2018-2019 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.
- */
-#include "arm_compute/runtime/CL/functions/CLWidthConcatenateLayer.h"
-
-#include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-#include "arm_compute/runtime/CL/CLScheduler.h"
-#include "support/ToolchainSupport.h"
-
-using namespace arm_compute;
-
-CLWidthConcatenateLayer::CLWidthConcatenateLayer() // NOLINT
-    : _concat_kernels_vector(),
-      _concat_x2_kernel(),
-      _concat_x4_kernel(),
-      _num_inputs(0)
-{
-}
-
-Status CLWidthConcatenateLayer::validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output) // NOLINT
-{
-    const unsigned int num_inputs = inputs_vector.size();
-
-    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
-    ARM_COMPUTE_RETURN_ERROR_ON(num_inputs < 2);
-
-    // Output auto inizialitation if not yet initialized
-    TensorInfo        tmp_output_info = *output->clone();
-    const TensorShape output_shape    = arm_compute::misc::shape_calculator::calculate_concatenate_shape(inputs_vector, Window::DimX);
-    auto_init_if_empty(tmp_output_info, output_shape, 1, inputs_vector[0]->data_type());
-
-    switch(num_inputs)
-    {
-        case 2:
-            // Validate WidthConcatenate2Tensors kernels if there are 2 inputs
-            ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(inputs_vector[0], inputs_vector[1]);
-            ARM_COMPUTE_RETURN_ON_ERROR(CLWidthConcatenate2TensorsKernel::validate(inputs_vector[0], inputs_vector[1], &tmp_output_info));
-            break;
-        case 4:
-            // Validate WidthConcatenate4Tensors kernels if there are 4 inputs
-            ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(inputs_vector[0], inputs_vector[1], inputs_vector[2], inputs_vector[3]);
-            ARM_COMPUTE_RETURN_ON_ERROR(CLWidthConcatenate4TensorsKernel::validate(inputs_vector[0], inputs_vector[1], inputs_vector[2], inputs_vector[3], &tmp_output_info));
-            break;
-        default:
-            unsigned int width_offset = 0;
-            // Validate generic case of WidthConcatenate kernel
-            for(const auto &input : inputs_vector)
-            {
-                ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input);
-                ARM_COMPUTE_RETURN_ON_ERROR(CLWidthConcatenateLayerKernel::validate(input, width_offset, &tmp_output_info));
-                width_offset += input->dimension(0);
-            }
-            break;
-    }
-
-    return Status{};
-}
-
-void CLWidthConcatenateLayer::configure(std::vector<ICLTensor *> inputs_vector, ICLTensor *output) // NOLINT
-{
-    _num_inputs = inputs_vector.size();
-
-    std::vector<ITensorInfo *> inputs_vector_info;
-    for(unsigned int i = 0; i < _num_inputs; i++)
-    {
-        inputs_vector_info.emplace_back(inputs_vector.at(i)->info());
-    }
-    const TensorShape output_shape = arm_compute::misc::shape_calculator::calculate_concatenate_shape(inputs_vector, Window::DimX);
-
-    // Output auto inizialitation if not yet initialized
-    auto_init_if_empty(*output->info(), output_shape, 1, inputs_vector[0]->info()->data_type());
-
-    ARM_COMPUTE_ERROR_THROW_ON(CLWidthConcatenateLayer::validate(inputs_vector_info, output->info()));
-
-    switch(_num_inputs)
-    {
-        case 2:
-            // Configure WidthConcatenate2Tensors kernel
-            _concat_x2_kernel.configure(inputs_vector.at(0), inputs_vector.at(1), output);
-            break;
-        case 4:
-            // Configure WidthConcatenate4Tensors kernel
-            _concat_x4_kernel.configure(inputs_vector.at(0), inputs_vector.at(1), inputs_vector.at(2), inputs_vector.at(3), output);
-            break;
-        default:
-            // Configure generic case WidthConcatenate kernels
-            _concat_kernels_vector.resize(_num_inputs);
-
-            unsigned int width_offset = 0;
-            for(unsigned int i = 0; i < _num_inputs; ++i)
-            {
-                _concat_kernels_vector[i].configure(inputs_vector.at(i), width_offset, output);
-                width_offset += inputs_vector.at(i)->info()->dimension(0);
-            }
-            break;
-    }
-}
-
-void CLWidthConcatenateLayer::run()
-{
-    cl::CommandQueue q = CLScheduler::get().queue();
-
-    switch(_num_inputs)
-    {
-        case 2:
-            CLScheduler::get().enqueue(_concat_x2_kernel, true);
-            break;
-        case 4:
-            CLScheduler::get().enqueue(_concat_x4_kernel, true);
-            break;
-        default:
-            for(unsigned int i = 0; i < _num_inputs; ++i)
-            {
-                CLScheduler::get().enqueue(_concat_kernels_vector[i], true);
-            }
-            break;
-    }
-}