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- # 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.
- # ==============================================================================
- """DebuggerTensor."""
- from abc import ABC
-
-
- class DebuggerTensor(ABC):
- """
- The tensor with specific rank, iteration and debugging info.
-
- Note:
- - Users should not instantiate this class manually.
- - The instances of this class is immutable.
- - A DebuggerTensor is always the output tensor of a node.
- """
- @property
- def node(self):
- """
- Get the node that outputs this tensor.
-
- Returns:
- Node, the node that outputs this tensor.
- """
- return None
-
- @property
- def name(self):
- """
- Get the name of this tensor.
-
- The name is composed of full name of a node and the slot number.
-
- Returns:
- str, the name of this tensor.
- """
- return ""
-
- @property
- def slot(self):
- """
- Get slot.
-
- Returns:
- int, the slot of the tensor on the node.
- """
- return -1
-
- @property
- def iteration(self):
- """
- Get the iteration for this tensor.
-
- Returns:
- int, the iteration for this tensor.
- """
- return -1
-
- @property
- def rank(self):
- """
- Get the rank for this tensor.
-
- Returns:
- int, the rank for this tensor.
-
- """
- return -1
-
- def get_value(self):
- """
- Get the value of the tensor.
-
- Returns:
- numpy.ndarray, the value of the debugger tensor.
- """
-
- def get_affected_nodes(self):
- """
- Get the nodes that use current tensor as input.
- """
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