blob: 81e98f1ba2c5d43a8550658d417c197d940fa598 [file] [log] [blame]
/*
* Copyright (c) 2019-2020 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.
*/
#include "arm_compute/runtime/GLES_COMPUTE/functions/GCConcatenateLayer.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/GLES_COMPUTE/IGCTensor.h"
#include "arm_compute/core/PixelValue.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/GLES_COMPUTE/GCScheduler.h"
#include "support/MemorySupport.h"
namespace arm_compute
{
GCConcatenateLayer::GCConcatenateLayer()
: _concat_kernels(),
_num_inputs(0),
_axis(Window::DimZ)
{
}
void GCConcatenateLayer::configure(std::vector<IGCTensor *> inputs_vector, IGCTensor *output, size_t axis)
{
ARM_COMPUTE_ERROR_ON(inputs_vector.size() < 2);
_num_inputs = inputs_vector.size();
_axis = axis;
TensorShape output_shape = arm_compute::misc::shape_calculator::calculate_concatenate_shape(inputs_vector, axis);
// Output auto inizialitation if not yet initialized
auto_init_if_empty(*output->info(), output_shape, 1, inputs_vector[0]->info()->data_type());
unsigned int offset = 0;
switch(axis)
{
case Window::DimZ:
{
for(unsigned int i = 0; i < _num_inputs; ++i)
{
auto kernel = support::cpp14::make_unique<GCDepthConcatenateLayerKernel>();
kernel->configure(inputs_vector.at(i), offset, output);
offset += inputs_vector.at(i)->info()->dimension(axis);
_concat_kernels.emplace_back(std::move(kernel));
}
break;
}
default:
ARM_COMPUTE_ERROR("Axis not supported");
}
}
void GCConcatenateLayer::run()
{
for(auto &kernel : _concat_kernels)
{
GCScheduler::get().dispatch(*kernel, true);
}
}
} // namespace arm_compute