tf.keras.backend.name_scope
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A context manager for use when defining a Python op.
tf.keras.backend.name_scope(
name
)
This context manager pushes a name scope, which will make the name of all
operations added within it have a prefix.
For example, to define a new Python op called my_op
:
def my_op(a):
with tf.name_scope("MyOp") as scope:
a = tf.convert_to_tensor(a, name="a")
# Define some computation that uses a
.
return foo_op(..., name=scope)
When executed, the Tensor a
will have the name MyOp/a
.
Args |
name
|
The prefix to use on all names created within the name scope.
|
Returns |
Name scope context manager.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.backend.name_scope\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.2.0/tensorflow/python/keras/backend.py#L776-L801) |\n\nA context manager for use when defining a Python op. \n\n tf.keras.backend.name_scope(\n name\n )\n\nThis context manager pushes a name scope, which will make the name of all\noperations added within it have a prefix.\n\nFor example, to define a new Python op called `my_op`:\n\ndef my_op(a):\nwith tf.name_scope(\"MyOp\") as scope:\na = tf.convert_to_tensor(a, name=\"a\")\n# Define some computation that uses `a`.\nreturn foo_op(..., name=scope)\n\nWhen executed, the Tensor `a` will have the name `MyOp/a`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|---------------------------------------------------------------|\n| `name` | The prefix to use on all names created within the name scope. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| Name scope context manager. ||\n\n\u003cbr /\u003e"]]