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/*
* Copyright (c) 2019 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.
*/
/*
* Copyright (c) 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/NEON/functions/NEInstanceNormalizationLayerEx.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
namespace arm_compute
{
NEInstanceNormalizationLayerEx::NEInstanceNormalizationLayerEx(
std::shared_ptr<IMemoryManager> memory_manager)
: _memory_group(std::move(memory_manager)), _normalization_kernel(), _is_nchw(false),
_permute_input(), _permute_output(), _permuted_input(), _permuted_output()
{
}
void NEInstanceNormalizationLayerEx::configure(ITensor *input, ITensor *output, ITensor *gamma,
ITensor *beta, float epsilon)
{
const DataLayout data_layout = input->info()->data_layout();
// Configure Kernels
_is_nchw = data_layout == DataLayout::NCHW;
if (!_is_nchw)
{
_memory_group.manage(&_permuted_input);
_memory_group.manage(&_permuted_output);
// Configure the function to transform the input tensor from NHWC -> NCHW
_permute_input.configure(input, &_permuted_input, PermutationVector(1U, 2U, 0U));
_permuted_input.info()->set_data_layout(DataLayout::NCHW);
_normalization_kernel.configure(&_permuted_input, &_permuted_output, gamma, beta, epsilon);
_permuted_output.info()->set_data_layout(DataLayout::NCHW);
_permute_output.configure(&_permuted_output, output != nullptr ? output : input,
PermutationVector(2U, 0U, 1U));
_permuted_input.allocator()->allocate();
_permuted_output.allocator()->allocate();
}
else
{
_normalization_kernel.configure(input, output, gamma, beta, epsilon);
}
}
Status NEInstanceNormalizationLayerEx::validate(const ITensorInfo *input, const ITensorInfo *output,
const ITensorInfo *gamma, const ITensorInfo *beta,
float epsilon)
{
return NEInstanceNormalizationLayerKernelEx::validate(
&input->clone()->set_data_layout(DataLayout::NCHW),
&output->clone()->set_data_layout(DataLayout::NCHW), gamma, beta, epsilon);
}
void NEInstanceNormalizationLayerEx::run()
{
MemoryGroupResourceScope scope_mg(_memory_group);
// Permute input
if (!_is_nchw)
{
_permute_input.run();
}
NEScheduler::get().schedule(&_normalization_kernel, Window::DimZ);
// Permute output
if (!_is_nchw)
{
_permute_output.run();
}
}
} // namespace arm_compute
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