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/*
* 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/CLGatherExKernel.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibraryEx.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/utils/misc/ShapeCalculatorEx.h"
#include "arm_compute/core/UtilsEx.h"
using namespace arm_compute;
namespace
{
inline Status validate_arguments(const ITensorInfo *input, const ITensorInfo *indices,
const ITensorInfo *output, int axis)
{
const uint32_t actual_axis = wrap_around(axis, static_cast<int>(input->num_dimensions()));
ARM_COMPUTE_RETURN_ERROR_ON(indices->num_dimensions() > 3);
ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4);
ARM_COMPUTE_ERROR_ON(input->num_dimensions() + indices->num_dimensions() - 1 > 4);
ARM_COMPUTE_RETURN_ERROR_ON(actual_axis >= input->num_dimensions());
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(
input, 1, DataType::U8, DataType::S8, DataType::QASYMM8, DataType::U16, DataType::S16,
DataType::U32, DataType::S32, DataType::F16, DataType::F32);
if (output->total_size() != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
TensorShape output_shape = arm_compute::misc::shape_calculator::compute_gather_shape_ex(
input->tensor_shape(), indices->tensor_shape(), actual_axis);
ARM_COMPUTE_RETURN_ERROR_ON(output_shape.total_size() != output->tensor_shape().total_size());
}
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(indices, 1, DataType::U32, DataType::S32);
return Status{};
}
std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *indices,
ITensorInfo *output, int axis)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, indices);
const uint32_t actual_axis = wrap_around(axis, static_cast<int>(input->num_dimensions()));
std::unique_ptr<ITensorInfo> output_info = input->clone();
output_info->set_tensor_shape(arm_compute::misc::shape_calculator::compute_gather_shape_ex(
input->tensor_shape(), indices->tensor_shape(), actual_axis));
// Output auto initialization if not yet initialized
auto_init_if_empty((*output), output_info->tensor_shape(), 1, input->data_type());
// Create window
Window win = calculate_max_window(*output, Steps());
output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape()));
return std::make_pair(Status{}, win);
}
} // namespace
CLGatherExKernel::CLGatherExKernel()
: _input(nullptr), _indices(nullptr), _output(nullptr), _axis(0)
{
}
void CLGatherExKernel::configure(const ICLTensor *input, const ICLTensor *indices,
ICLTensor *output, int axis)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, indices);
ARM_COMPUTE_ERROR_THROW_ON(
validate_arguments(input->info(), indices->info(), output->info(), axis));
// Configure kernel window
auto win_config =
validate_and_configure_window(input->info(), indices->info(), output->info(), axis);
ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
_input = input;
_output = output;
_indices = indices;
_axis = wrap_around(axis, static_cast<int>(input->info()->num_dimensions()));
// Set build options
CLBuildOptions build_opts;
build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
build_opts.add_option("-DOUTPUT_DIM_Z=" +
support::cpp11::to_string(output->info()->dimension(2)));
build_opts.add_option("-DINPUT_DIM_Z=" + support::cpp11::to_string(input->info()->dimension(2)));
build_opts.add_option("-DAXIS=" + support::cpp11::to_string(_axis));
build_opts.add_option("-DINDICES_DIM=" +
support::cpp11::to_string(indices->info()->num_dimensions()));
// Create kernel
_kernel = static_cast<cl::Kernel>(
CLKernelLibraryEx::get().create_kernel("gather_ex", build_opts.options()));
ICLKernel::configure_internal(win_config.second);
}
Status CLGatherExKernel::validate(const ITensorInfo *input, const ITensorInfo *indices,
const ITensorInfo *output, int axis)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, indices, output, axis));
ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(),
indices->clone().get(),
output->clone().get(), axis)
.first);
return Status{};
}
void CLGatherExKernel::run(const Window &window, cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
Window window_collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ, 4);
unsigned int idx = 0;
add_4D_tensor_argument(idx, _input, window_collapsed);
add_3D_tensor_argument(idx, _indices, window_collapsed);
add_4D_tensor_argument(idx, _output, window_collapsed);
enqueue(queue, *this, window_collapsed, lws_hint());
}
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