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-rw-r--r--runtimes/neurun/src/model/operation/ConcatNode.cc59
1 files changed, 0 insertions, 59 deletions
diff --git a/runtimes/neurun/src/model/operation/ConcatNode.cc b/runtimes/neurun/src/model/operation/ConcatNode.cc
deleted file mode 100644
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--- a/runtimes/neurun/src/model/operation/ConcatNode.cc
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@@ -1,59 +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 "ConcatNode.h"
-
-#include <cassert>
-
-#include "NodeVisitor.h"
-
-namespace neurun
-{
-namespace model
-{
-namespace operation
-{
-
-void ConcatNode::accept(NodeVisitor &&v) const { v.visit(*this); }
-
-ConcatNode::ConcatNode(const model::operation::Node::InitParam &init_param)
- : model::operation::Node{OperandConstraint::createAtLeast(2u)}
-{
- assert(init_param.input_count >= 2); // At least one one input tensor and axis
- assert(init_param.output_count == 1);
-
- // When there are N + 1 inputs, each input should be interpreted as follows:
- //
- // [0, N) -> Input tensors
- // N -> Axis
- //
-
- {
- operand::IndexSet inds;
- for (uint32_t n = 0; n < init_param.input_count - 1; ++n)
- {
- inds.append(operand::Index{init_param.inputs[n]});
- }
- setInputs(inds);
- }
- setOutputs({init_param.outputs[0]});
-
- _param.axis_index = operand::Index{init_param.inputs[init_param.input_count - 1]};
-}
-
-} // namespace operation
-} // namespace model
-} // namespace neurun