!11972 [MS_LITE] tf_parser-onehot-pow

From: @YeFeng_24
Reviewed-by: @hangangqiang,@hangangqiang
Signed-off-by: @hangangqiang

mindspore/lite/tools/converter/parser/tf/tf_arithmetic_self_parser.cc

@@ -61,6 +61,8 @@ STATUS TFArithmeticSelfParser::Parse(const tensorflow::NodeDef &tf_op,
     status = CreateOperator<schema::LogT>(primitive, schema::PrimitiveType_Log);
   } else if (tf_op.op() == "Sqrt") {
     status = CreateOperator<schema::SqrtT>(primitive, schema::PrimitiveType_Sqrt);
+  } else if (tf_op.op() == "Pow") {
+    status = CreateOperator<schema::PowerT>(primitive, schema::PrimitiveType_Power);
   }
   if (status != RET_OK) {
     return status;
@@ -84,5 +86,6 @@ TFNodeRegistrar g_tfExpParser("Exp", new TFArithmeticSelfParser());
 TFNodeRegistrar g_tfFloorParser("Floor", new TFArithmeticSelfParser());
 TFNodeRegistrar g_tfLogParser("Log", new TFArithmeticSelfParser());
 TFNodeRegistrar g_tfSqrtParser("Sqrt", new TFArithmeticSelfParser());
+TFNodeRegistrar g_tfPowParser("Pow", new TFArithmeticSelfParser());
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tf/tf_one_hot_parser.cc

@@ -0,0 +1,67 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * 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 "tools/converter/parser/tf/tf_one_hot_parser.h"
+#include <string>
+#include <memory>
+#include <map>
+#include <vector>
+#include "tools/converter/parser/tf/tf_node_parser_registry.h"
+
+namespace mindspore {
+namespace lite {
+STATUS TFOneHotParser::Parse(const tensorflow::NodeDef &tf_op,
+                             const std::map<string, const tensorflow::NodeDef *> &tf_node_map, PrimitiveC **primitiveC,
+                             std::vector<std::string> *inputs, int *output_size) {
+  MS_LOG(INFO) << "TF OneHotParser";
+  if (primitiveC == nullptr || output_size == nullptr) {
+    MS_LOG(ERROR) << "primitiveC is nullptr";
+    return RET_NULL_PTR;
+  }
+  auto primitive = std::make_unique<schema::PrimitiveT>();
+  if (primitive == nullptr) {
+    MS_LOG(ERROR) << "New PrimitiveT failed";
+    return RET_NULL_PTR;
+  }
+  auto attr = std::make_unique<schema::OneHotT>();
+  if (attr == nullptr) {
+    MS_LOG(ERROR) << "new attr failed";
+    return RET_NULL_PTR;
+  }
+  tensorflow::AttrValue attr_value;
+  if (!TensorFlowUtils::FindAttrValue(tf_op, "axis", &attr_value)) {
+    MS_LOG(ERROR) << "The axis attr should be specified";
+    return RET_ERROR;
+  }
+  attr->axis = static_cast<int32_t>(attr_value.i());
+  primitive->value.type = schema::PrimitiveType_OneHot;
+  primitive->value.value = attr.release();
+  *primitiveC = PrimitiveC::Create(primitive.release());
+  if (*primitiveC == nullptr) {
+    MS_LOG(ERROR) << "primitiveC is nullptr";
+    return RET_ERROR;
+  }
+  *output_size = 1;
+  for (int i = 0; i < tf_op.input_size(); ++i) {
+    auto status = AddOpInput(tf_op, i, inputs);
+    if (status != RET_OK) {
+      return status;
+    }
+  }
+  return RET_OK;
+}
+TFNodeRegistrar g_tfOneHotParser("OneHot", new TFOneHotParser());
+}  // namespace lite
+}  // namespace mindspore

mindspore/lite/tools/converter/parser/tf/tf_one_hot_parser.h

@@ -0,0 +1,36 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * 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 MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TF_TF_ONE_HOT_PARSER_H_
+#define MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TF_TF_ONE_HOT_PARSER_H_
+#include <string>
+#include <memory>
+#include <map>
+#include <vector>
+#include "tools/converter/parser/tf/tf_node_parser.h"
+
+namespace mindspore {
+namespace lite {
+class TFOneHotParser : public TFNodeParser {
+ public:
+  TFOneHotParser() = default;
+  ~TFOneHotParser() override = default;
+
+  STATUS Parse(const tensorflow::NodeDef &tf_op, const std::map<string, const tensorflow::NodeDef *> &tf_node_map,
+               PrimitiveC **primitiveC, std::vector<std::string> *inputs, int *output_size) override;
+};
+}  // namespace lite
+}  // namespace mindspore
+#endif  // MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TF_TF_ONE_HOT_PARSER_H_

mindspore/lite/tools/converter/parser/tf/tf_resize_parser.cc

@@ -56,6 +56,8 @@ STATUS TFResizeParser::Parse(const tensorflow::NodeDef &tf_op,
     attr->method = schema::ResizeMethod_LINEAR;
   } else if (tf_op.op() == "ResizeNearestNeighbor") {
     attr->method = schema::ResizeMethod_NEAREST;
+  } else if (tf_op.op() == "ResizeBicubic") {
+    attr->method = schema::ResizeMethod_CUBIC;
   } else {
     attr->method = schema::ResizeMethod_UNKNOWN;
   }
@@ -90,5 +92,6 @@ STATUS TFResizeParser::Parse(const tensorflow::NodeDef &tf_op,
 }
 TFNodeRegistrar g_tfResizeBilinearParser("ResizeBilinear", new TFResizeParser());
 TFNodeRegistrar g_tfResizeNearestNeighborParser("ResizeNearestNeighbor", new TFResizeParser());
+TFNodeRegistrar g_tfResizeBicubicParser("ResizeBicubic", new TFResizeParser());
 }  // namespace lite
 }  // namespace mindspore