1 files changed, 0 insertions, 129 deletions
diff --git a/libs/ARMComputeEx/src/core/CL/kernels/CLGatherKernel.cpp b/libs/ARMComputeEx/src/core/CL/kernels/CLGatherKernel.cpp
deleted file mode 100644
index ae2801e2b..000000000
--- a/libs/ARMComputeEx/src/core/CL/kernels/CLGatherKernel.cpp
+++ /dev/null
@@ -1,129 +0,0 @@
-/*
- * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
- * Copyright (c) 2016-2018 ARM Limited.
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-#include "arm_compute/core/CL/kernels/CLGatherKernel.h"
-
-#include "arm_compute/core/CL/CLHelpers.h"
-#include "arm_compute/core/CL/CLKernelLibraryEx.h"
-#include "arm_compute/core/CL/ICLTensor.h"
-
-using namespace arm_compute;
-
-namespace
-{
-constexpr unsigned int num_elems_processed_per_iteration = 1;
-
-Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2,
-                          const ITensorInfo *output)
-{
-  ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::U8, DataType::S32,
-                                                       DataType::F32);
-  ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input2, 1, DataType::S32);
-  ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::S32,
-                                                       DataType::F32);
-  ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input1, output);
-
-  return Status{};
-}
-
-} // namespace
-
-CLGatherKernel::CLGatherKernel() : _input1(nullptr), _input2(nullptr), _output(nullptr) {}
-
-void CLGatherKernel::configure(const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output)
-{
-  ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output);
-  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input1->info(), input2->info(), output->info()));
-
-  _input1 = input1;
-  _input2 = input2;
-  _output = output;
-
-  // Construct kernel name
-  std::string kernel_name = "gather";
-  if (input1->info()->num_dimensions() == 1)
-  {
-    kernel_name = "gather_1d";
-  }
-  else if (input1->info()->num_dimensions() == 2)
-  {
-    if (_output->info()->num_dimensions() == 1)
-    {
-      kernel_name = "gather_1d_out";
-    }
-  }
-
-  // Set kernel build options
-  std::set<std::string> build_opts;
-  build_opts.emplace("-DDATA_TYPE_IN1=" + get_cl_type_from_data_type(input1->info()->data_type()));
-  build_opts.emplace("-DDATA_TYPE_IN2=" + get_cl_type_from_data_type(input2->info()->data_type()));
-  build_opts.emplace("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type()));
-
-  // Create kernel
-  _kernel =
-      static_cast<cl::Kernel>(CLKernelLibraryEx::get().create_kernel(kernel_name, build_opts));
-
-  // Configure kernel window
-  Window win = calculate_max_window(*input2->info(), Steps(num_elems_processed_per_iteration));
-  output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape()));
-
-  ICLKernel::configure_internal(win);
-}
-
-Status CLGatherKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2,
-                                const ITensorInfo *output)
-{
-  ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output);
-  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input1, input2, output));
-
-  return Status{};
-}
-
-void CLGatherKernel::run(const Window &window, cl::CommandQueue &queue)
-{
-  ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
-  ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
-
-  if (_input1->info()->num_dimensions() == 1)
-  {
-    Window slice = window.first_slice_window_1D();
-
-    unsigned int idx = 0;
-    add_1D_tensor_argument(idx, _input1, slice);
-    add_1D_tensor_argument(idx, _input2, slice);
-    add_1D_tensor_argument(idx, _output, slice);
-    enqueue(queue, *this, slice);
-  }
-  else if (_input1->info()->num_dimensions() == 2)
-  {
-    Window window_collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimY);
-    Window slice = window.collapse_if_possible(ICLKernel::window(), Window::DimX);
-
-    // Set inputs
-    unsigned int idx = 0;
-    add_2D_tensor_argument(idx, _input1, window_collapsed);
-    add_1D_tensor_argument(idx, _input2, slice);
-    if (_output->info()->num_dimensions() == 1)
-    {
-      add_1D_tensor_argument(idx, _output, slice);
-    }
-    else
-    {
-      add_2D_tensor_argument(idx, _output, window_collapsed);
-    }
-    enqueue(queue, *this, slice);
-  }
-}