mindspore2022/ccsrc/transform/graph_ir/data_flow_ops_declare.h

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+/**
+ * Copyright 2022 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_CCSRC_TRANSFORM_GRAPH_IR_OP_DECLARE_DATA_FLOW_OPS_DECLARE_H_
+#define MINDSPORE_CCSRC_TRANSFORM_GRAPH_IR_OP_DECLARE_DATA_FLOW_OPS_DECLARE_H_
+
+#include <string>
+#include <unordered_map>
+#include "transform/graph_ir/op_declare/op_declare_macro.h"
+#include "ops/data_flow_ops.h"
+
+namespace mindspore::transform {
+DECLARE_OP_ADAPTER(TensorArray)//将TensorArray收录后与标准进行比较，进行空间调整，用input_map_为key储存
+DECLARE_OP_USE_OUTPUT(TensorArray)//将TensorArray收录后与标准进行比较，进行空间调整，用output_map_为key储存
+
+DECLARE_OP_ADAPTER(TensorArrayWrite)
+DECLARE_OP_USE_OUTPUT(TensorArrayWrite)
+
+DECLARE_OP_ADAPTER(TensorArrayGather)
+DECLARE_OP_USE_OUTPUT(TensorArrayGather)
+}  // namespace mindspore::transform
+#endif  // MINDSPORE_CCSRC_TRANSFORM_GRAPH_IR_OP_DECLARE_DATA_FLOW_OPS_DECLARE_H_