1 files changed, 0 insertions, 50 deletions
diff --git a/runtimes/neurun/src/model/operation/ReshapeNode.cc b/runtimes/neurun/src/model/operation/ReshapeNode.cc
deleted file mode 100644
index 616b8cd65..000000000
--- a/runtimes/neurun/src/model/operation/ReshapeNode.cc
+++ /dev/null
@@ -1,50 +0,0 @@
-/*
- * 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 "ReshapeNode.h"
-
-#include <cassert>
-
-#include "NodeVisitor.h"
-
-namespace neurun
-{
-namespace model
-{
-namespace operation
-{
-
-void ReshapeNode::accept(NodeVisitor &&v) const { v.visit(*this); }
-
-ReshapeNode::ReshapeNode(const model::operation::Node::InitParam &init_param)
-    : model::operation::Node{OperandConstraint::createExact(1u)}
-{
-  assert(init_param.input_count == 2 && init_param.output_count == 1);
-
-  // Each input should be interpreted as follows:
-  //
-  //  0 -> A tensor, specifying the tensor to be reshaped.
-  //  1 -> A 1-D tensor of type ANEURALNETWORKS_TENSOR_INT32, defining the shape of the output
-  //  tensor
-
-  // TODO Second input should be shape tensor (init_param.inputs[1])
-  setInputs({init_param.inputs[0] /* , init_param.inputs[1] */});
-  setOutputs({init_param.outputs[0]});
-}
-
-} // namespace operation
-} // namespace model
-} // namespace neurun