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/*
* Copyright (c) 2017-2018 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/NESoftmaxLayer.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
#include <cfloat>
using namespace arm_compute;
NESoftmaxLayer::NESoftmaxLayer(std::shared_ptr<IMemoryManager> memory_manager)
: _memory_group(std::move(memory_manager)), _max_kernel(), _softmax_kernel(), _fill_border_kernel(), _max(), _tmp()
{
}
void NESoftmaxLayer::configure(ITensor *input, ITensor *output, float beta, size_t axis)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_UNUSED(axis);
// Configure Kernels
_max_kernel.configure(input, &_max);
_fill_border_kernel.configure(input, _max_kernel.border_size(), BorderMode::REPLICATE);
_softmax_kernel.configure(input, &_max, output, beta, &_tmp);
// Init intermediate tensors
_max.allocator()->init(*_max.info());
_tmp.allocator()->init(*_tmp.info());
// Manage intermediate buffers
_memory_group.manage(&_max);
_memory_group.manage(&_tmp);
// Allocate intermediate tensors
_max.allocator()->allocate();
_tmp.allocator()->allocate();
}
Status NESoftmaxLayer::validate(const ITensorInfo *input, const ITensorInfo *output, float beta, size_t axis)
{
ARM_COMPUTE_RETURN_ERROR_ON_MSG(axis != 1, "Axis must be 1 for NEON");
// Perform validation step
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->num_dimensions() > 2, "Only 2D inputs are supported");
const TensorShape max_shape = TensorShape(input->tensor_shape()).set(0, 1);
const TensorInfo tensor_info_max_sum = TensorInfo(*input).set_tensor_shape(max_shape).reset_padding();
const TensorInfo dont_care;
ARM_COMPUTE_RETURN_ON_ERROR(NELogits1DMaxKernel::validate(input, &tensor_info_max_sum));
ARM_COMPUTE_RETURN_ON_ERROR(NELogits1DSoftmaxKernel::validate(input, &tensor_info_max_sum, output, beta, &dont_care));
return Status{};
}
void NESoftmaxLayer::run()
{
_memory_group.acquire();
NEScheduler::get().schedule(&_fill_border_kernel, Window::DimY);
NEScheduler::get().schedule(&_max_kernel, Window::DimY);
NEScheduler::get().schedule(&_softmax_kernel, Window::DimY);
_memory_group.release();
}
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