summaryrefslogtreecommitdiff
path: root/compiler/moco/import/src/Nodes/Reshape.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'compiler/moco/import/src/Nodes/Reshape.cpp')
-rw-r--r--compiler/moco/import/src/Nodes/Reshape.cpp102
1 files changed, 102 insertions, 0 deletions
diff --git a/compiler/moco/import/src/Nodes/Reshape.cpp b/compiler/moco/import/src/Nodes/Reshape.cpp
new file mode 100644
index 000000000..26e22513f
--- /dev/null
+++ b/compiler/moco/import/src/Nodes/Reshape.cpp
@@ -0,0 +1,102 @@
+/*
+ * 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.
+ */
+
+#include "moco/Import/Nodes/Reshape.h"
+
+#include <moco/IR/Nodes/TFReshape.h>
+
+#include <moco/Names.h>
+#include <plier/tf/Convert.h>
+#include <loco.h>
+#include <stdex/Memory.h>
+
+#include <cassert>
+#include <stdexcept>
+
+namespace
+{
+using namespace moco;
+
+class ReshapeGraphUpdate final : public GraphUpdate
+{
+public:
+ ReshapeGraphUpdate(TFReshape *node, std::vector<TensorName> names) : _node(node), _names(names) {}
+
+ void input(const SymbolTable *) const override;
+
+private:
+ TFReshape *_node;
+ std::vector<TensorName> _names;
+};
+
+void ReshapeGraphUpdate::input(const SymbolTable *node_table) const
+{
+ assert(_names.size() == 2);
+
+ auto tensor_node = node_table->node(_names[0]);
+ auto shape_node = node_table->node(_names[1]);
+
+ assert(tensor_node != nullptr);
+ assert(shape_node != nullptr);
+
+ _node->tensor(tensor_node);
+ _node->shape(shape_node);
+}
+
+} // namespace
+
+namespace moco
+{
+
+bool ReshapeGraphBuilder::validate(const tensorflow::NodeDef &node) const
+{
+ // Tensorflow Reshape has 2 inputs: tensor & shape
+ if (node.input_size() != 2)
+ return false;
+
+ // TODO Assert Tshape value is DT_INT32?
+ return plier::tf::has_attrs(node, {"T", "Tshape"});
+}
+
+void ReshapeGraphBuilder::build(const tensorflow::NodeDef &node, GraphBuilderContext *context) const
+{
+ assert(context != nullptr);
+
+ loco::Graph *graph = context->graph();
+ SymbolTable *tensor_names = context->tensor_names();
+ UpdateQueue *updates = context->updates();
+
+ // name of loco nodes
+ std::string reshape_name = node.name();
+
+ auto reshape = graph->nodes()->create<TFReshape>();
+ reshape->name(node.name());
+
+ // save the name for graph link updates
+ TensorName output_name(reshape_name, 0);
+ tensor_names->enroll(output_name, reshape);
+
+ std::vector<TensorName> input_names;
+ input_names.push_back(TensorName(node.input(0))); // tensor
+ input_names.push_back(TensorName(node.input(1))); // shape
+
+ // Queue node input update
+ auto update = stdex::make_unique<ReshapeGraphUpdate>(reshape, input_names);
+
+ updates->enroll(std::move(update));
+}
+
+} // namespace moco