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diff --git a/compiler/enco/frontend/caffe/src/Layer/Input.cpp b/compiler/enco/frontend/caffe/src/Layer/Input.cpp
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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 &param = 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