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-rw-r--r--runtimes/neurun/src/graph/operation/Softmax.cc67
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diff --git a/runtimes/neurun/src/graph/operation/Softmax.cc b/runtimes/neurun/src/graph/operation/Softmax.cc
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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 "Softmax.h"
+
+#include <cassert>
+
+#include "NodeVisitor.h"
+#include "LowerInfo.h"
+
+namespace neurun
+{
+namespace graph
+{
+namespace operation
+{
+namespace Softmax
+{
+
+void Node::accept(NodeVisitor &&v) const { v.visit(*this); }
+
+Node::Node(const graph::operation::Node::InitParam &init_param)
+{
+ assert(init_param.input_count == 2 && init_param.output_count == 1);
+
+ // Each input should be interpreted as follows:
+ //
+ // 0 -> A 2-D or 4-D tensor, specifying the tensor to be reshaped.
+ // 1 -> FLOAT32 value, specifying the positive scaling factor for the exponent, beta.
+
+ setInputs({init_param.inputs[0]});
+ setOutputs({init_param.outputs[0]});
+
+ _param.scale_index = init_param.inputs[1];
+}
+
+void Node::setInputs(const operand::IndexSet &indexes)
+{
+ assert(indexes.size() == 1);
+
+ graph::operation::Node::setInputs(indexes);
+}
+
+void Node::setOutputs(const operand::IndexSet &indexes)
+{
+ assert(indexes.size() == 1);
+
+ graph::operation::Node::setOutputs(indexes);
+}
+
+} // namespace Softmax
+} // namespace operation
+} // namespace graph
+} // namespace neurun