摘自
:https://tensorflow.google.cn/versions/r1.15/api_docs/python/tf/contrib/graph_editor/graph_replace
创建一个新的图graph用于计算replaced tensor的目标值
tf.contrib.graph_editor.graph_replace(
target_ts,
replacement_ts,
dst_scope='',
src_scope='',
reuse_dst_scope=False
)
Args:
- target_ts: a single tf.Tensor or an iterable of tf.Tensor.
replacement_ts: dictionary mapping from original tensors to replaced tensors - dst_scope: the destination scope.
- src_scope: the source scope.
- reuse_dst_scope: if True the dst_scope is re-used if it already exists. Otherwise, the scope is given a unique name based on the one given by appending an underscore followed by a digit (default).
Returns:
- A single tf.Tensor or a list of target tf.Tensor, depending on the type of the input argument target_ts. The returned tensors are recomputed using the tensors from replacement_ts.