#include "Op/MaxPool.h"
#include "Op/Mul.h"
#include "Op/Pad.h"
+#include "Op/Reciprocal.h"
#include "Op/ReduceMean.h"
#include "Op/Relu.h"
#include "Op/Reshape.h"
registry.registerConverter("MaxPool", stdex::make_unique<MaxPoolNodeConverter>());
registry.registerConverter("Mul", stdex::make_unique<MulNodeConverter>());
registry.registerConverter("Pad", stdex::make_unique<PadNodeConverter>());
+ registry.registerConverter("Reciprocal", stdex::make_unique<ReciprocalNodeConverter>());
registry.registerConverter("ReduceMean", stdex::make_unique<ReduceMeanNodeConverter>());
registry.registerConverter("Relu", stdex::make_unique<ReluNodeConverter>());
registry.registerConverter("Reshape", stdex::make_unique<ReshapeNodeConverter>());
--- /dev/null
+/*
+ * 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 "Reciprocal.h"
+
+#include "ONNXHelpers.h"
+
+#include "mir/ops/ConstantOp.h"
+#include "mir/ops/DivOp.h"
+
+namespace mir_onnx
+{
+
+void ReciprocalNodeConverter::convert(const onnx::NodeProto &onnx_node,
+ ConverterContext *context) const
+{
+ std::vector<mir::Operation::Output *> inputs = context->getNodeInputs(onnx_node);
+ mir::Graph *graph = context->getGraph();
+
+ assert(inputs.size() == 1);
+ auto input = inputs[0];
+
+ const float one_value = 1.0f;
+ mir::TensorVariant one_tensor(mir::DataType::FLOAT32, mir::Shape{1}, &one_value);
+ auto one = createOp<mir::ops::ConstantOp>(graph, one_tensor)->getOutput(0);
+ auto result = createOp<mir::ops::DivOp>(graph, input, one)->getOutput(0);
+
+ context->setNodeOutputs(onnx_node, {result});
+}
+
+} // namespace mir_onnx
--- /dev/null
+/*
+ * 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.
+ */
+
+#ifndef MIR_ONNX_OP_RECIPROCAL_H
+#define MIR_ONNX_OP_RECIPROCAL_H
+
+#include "ONNXNodeConverterRegistry.h"
+
+namespace mir_onnx
+{
+
+class ReciprocalNodeConverter : public NodeConverter
+{
+public:
+ void convert(const onnx::NodeProto &onnx_node, ConverterContext *context) const override;
+};
+
+} // namespace mir_onnx
+
+#endif // MIR_ONNX_OP_RECIPROCAL_H