tf.compat.v1.keras.backend.name_scope
A context manager for use when defining a Python op.
tf.compat.v1.keras.backend.name_scope(
name, default_name=None, values=None
)
This context manager validates that the given values are from the same graph, makes that graph the default graph, and pushes a name scope in that graph (see tf.Graph.name_scope for more details on that).
For example, to define a new Python op called my_op:
def my_op(a, b, c, name=None):
with tf.name_scope(name, "MyOp", [a, b, c]) as scope:
a = tf.convert_to_tensor(a, name="a")
b = tf.convert_to_tensor(b, name="b")
c = tf.convert_to_tensor(c, name="c")
# Define some computation that uses `a`, `b`, and `c`.
return foo_op(..., name=scope)
| Args | |
|---|---|
name |
The name argument that is passed to the op function. |
default_name |
The default name to use if the name argument is None. |
values |
The list of Tensor arguments that are passed to the op function. |
| Raises | |
|---|---|
TypeError |
if default_name is passed in but not a string. |
| Attributes | |
|---|---|
name |
|
Methods
__enter__
__enter__()
__exit__
__exit__(
*exc_info
)
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/keras/backend/name_scope