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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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/ITensorInfo.h"
#include "arm_compute/runtime/misc/functions/GenericReshapeLayer.h"
namespace arm_compute
{
namespace misc
{
namespace
{
bool shouldPermute(const arm_compute::ITensorInfo *input, arm_compute::ITensorInfo *output)
{
return (input->num_dimensions() == 4 || output->num_dimensions() == 4) &&
(input->num_dimensions() != output->num_dimensions() &&
input->data_layout() == DataLayout::NCHW);
}
} // namespace
void GenericReshapeLayer::configure(const arm_compute::ITensor *input, arm_compute::ITensor *output)
{
_input = input;
_output = output;
arm_compute::PermutationVector pv;
if (input->info()->data_layout() == DataLayout::NCHW && input->info()->num_dimensions() == 4 &&
output->info()->num_dimensions() != 4)
{
// NOTE This vector comes from CLPermuteKernel implementation
//
// This implementation permutes a tensor of shape W / H / C into another tensor of shape
// C / W / H
//
// Original | Permuted
// 0 | W | C (from 2)
// 1 | H | W (from 0)
// 2 | C | H (from 1)
//
pv = arm_compute::PermutationVector{2, 0, 1};
}
else if (input->info()->data_layout() == DataLayout::NCHW &&
input->info()->num_dimensions() != 4 && output->info()->num_dimensions() == 4)
{
// NOTE This vector comes from CLPermuteKernel implementation
//
// This implementation permutes a tensor of shape C / W / H into another tensor of shape
// W / H / C
//
// Original | Permuted
// 0 | C | W (from 1)
// 1 | W | H (from 2)
// 2 | H | C (from 0)
//
pv = arm_compute::PermutationVector{1, 2, 0};
}
if (utils::isGpuMode())
{
const auto const_input = CAST_CL(const_cast<arm_compute::ITensor *>(input));
if (shouldPermute(input->info(), output->info()))
{
_cl_permute.configure(const_input, &_cl_permuted, pv);
_cl_reshape.configure(&_cl_permuted, CAST_CL(output));
// NOTE _permuted is inaccessible from outside, and thus it is safe to invoke allocate here.
_cl_permuted.allocator()->allocate();
}
else
{
_cl_reshape.configure(const_input, CAST_CL(output));
}
}
else
{
if (shouldPermute(input->info(), output->info()))
{
_neon_permute.configure(input, &_neon_permuted, pv);
_neon_reshape.configure(&_neon_permuted, output);
// NOTE _permuted is inaccessible from outside, and thus it is safe to invoke allocate here.
_neon_permuted.allocator()->allocate();
}
else
{
_neon_reshape.configure(input, output);
}
}
}
void GenericReshapeLayer::run(void)
{
if (utils::isGpuMode())
{
if (shouldPermute(_input->info(), _output->info()))
{
_cl_permute.run();
}
_cl_reshape.run();
}
else
{
if (shouldPermute(_input->info(), _output->info()))
{
_neon_permute.run();
}
_neon_reshape.run();
}
}
} // namespace misc
} // namespace arm_compute
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