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/*
* Copyright (c) 2017 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/graph/nodes/DequantizationLayer.h"
#include "arm_compute/graph/Error.h"
#include "arm_compute/graph/NodeContext.h"
#include "arm_compute/graph/OperationRegistry.h"
using namespace arm_compute::graph;
std::unique_ptr<arm_compute::IFunction> DequantizationLayer::instantiate_node(GraphContext &ctx, ITensorObject *input, ITensorObject *output)
{
ARM_COMPUTE_ERROR_ON_UNALLOCATED_TENSOR_OBJECT(input, output);
_target_hint = ctx.hints().target_hint();
arm_compute::ITensor *in = input->tensor();
arm_compute::ITensor *out = output->tensor();
if(_min_max.tensor() == nullptr)
{
TensorShape shape = in->info()->tensor_shape();
shape.set(Window::DimX, 2);
shape.remove_dimension(1);
shape.remove_dimension(1);
_min_max.set_info(TensorInfo(shape, in->info()->num_channels(), DataType::F32));
_min_max.set_target(_target_hint);
}
bool minmax_is_loaded = _min_max.tensor() != nullptr;
// Create node context
NodeContext node_ctx(OperationType::DequantizationLayer);
node_ctx.set_target(_target_hint);
node_ctx.add_input(in);
node_ctx.add_output(_min_max.tensor());
node_ctx.add_output(out);
// Fill min max
if(!minmax_is_loaded)
{
_min_max.allocate_and_fill_if_needed();
}
// Get function
return OperationRegistry::get().find_operation(OperationType::DequantizationLayer, _target_hint)->configure(node_ctx);
}
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