!10932 [MS_LITE] unet model

From: @YeFeng_24
Reviewed-by: @zhanghaibo5,@hangangqiang
Signed-off-by:

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

@@ -0,0 +1,90 @@
+/**
+ * Copyright 2020 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_resize_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 TFResizeParser::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 ResizeParser";
+  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::ResizeT>();
+  if (attr == nullptr) {
+    MS_LOG(ERROR) << "new attr failed";
+    return RET_NULL_PTR;
+  }
+  tensorflow::AttrValue attr_value;
+  attr->format = schema::Format_NHWC;
+  if (!TensorFlowUtils::FindAttrValue(tf_op, "align_corners", &attr_value)) {
+    MS_LOG(ERROR) << "The align_corners attr should be specified";
+    return RET_ERROR;
+  }
+  attr->alignCorners = attr_value.b();
+  if (tf_op.op() == "ResizeBilinear") {
+    attr->method = schema::ResizeMethod_LINEAR;
+  } else if (tf_op.op() == "ResizeNearestNeighbor") {
+    attr->method = schema::ResizeMethod_NEAREST;
+  } else {
+    attr->method = schema::ResizeMethod_UNKNOW;
+  }
+  auto size_node = tf_node_map.at(tf_op.input(1));
+  if (size_node == nullptr) {
+    MS_LOG(ERROR) << "Find size input failed.";
+    return RET_ERROR;
+  }
+  if (!TensorFlowUtils::FindAttrValue(tf_op, "value", &attr_value)) {
+    MS_LOG(WARNING) << "The value attr should be specified";
+  }
+  auto tensor_proto = attr_value.tensor();
+  auto size_ptr = reinterpret_cast<const int32_t *>(tensor_proto.tensor_content().data());
+  attr->newHeight = size_ptr[0];
+  attr->newWidth = size_ptr[1];
+
+  primitive->value.type = schema::PrimitiveType_Resize;
+  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;
+  auto status = AddOpInput(tf_op, 0, inputs);
+  if (status != RET_OK) {
+    return status;
+  }
+  status = AddOpInput(tf_op, 1, inputs);
+  return status;
+}
+TFNodeRegistrar g_tfResizeBilinearParser("ResizeBilinear", new TFResizeParser());
+TFNodeRegistrar g_tfResizeNearestNeighborParser("ResizeNearestNeighbor", new TFResizeParser());
+}  // namespace lite
+}  // namespace mindspore

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

@@ -0,0 +1,36 @@
+/**
+ * Copyright 2020 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_RESIZE_PARSER_H_
+#define MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_TF_TF_RESIZE_PARSER_H_
+#include <string>
+#include <memory>
+#include <map>
+#include <vector>
+#include "tools/converter/parser/tf/tf_node_parser.h"
+
+namespace mindspore {
+namespace lite {
+class TFResizeParser : public TFNodeParser {
+ public:
+  TFResizeParser() = default;
+  ~TFResizeParser() 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_RESIZE_PARSER_H_