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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 "Input.h"
#include "Convert.h"
#include <nncc/core/ADT/tensor/LexicalLayout.h>
#include <cassert>
using namespace nncc::core::ADT;
using tensor::num_elements;
using tensor::LexicalLayout;
namespace caffeimport
{
void InputBuilder::build(const ::caffe::LayerParameter &layer, GraphBuilderContext *context) const
{
coco::Module *module = context->module();
std::map<std::string, tensor::Shape> &shape_ctx = context->shape_ctx();
std::map<std::string, coco::Bag *> &bag_ctx = context->bag_ctx();
assert(layer.has_input_param());
const auto ¶m = layer.input_param();
for (uint32_t n = 0; n < layer.top_size(); ++n)
{
const auto &name = layer.top(n);
const auto shape = as_tensor_shape(param.shape(n));
auto bag = module->entity()->bag()->create(num_elements(shape));
auto input = module->entity()->input()->create(shape);
input->bag(bag);
input->name(name);
input->reorder<LexicalLayout>();
module->input()->insert(input);
bag_ctx[name] = bag;
shape_ctx[name] = shape;
}
}
} // namespace caffeimport
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