tf.compat.v1.name_scope | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.name_scope
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A context manager for use when defining a Python op.
tf.compat.v1.name_scope(
name, default_name=None, values=None
) -> 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 (seetf.Graph.name_scopefor 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__() -> Optional[str]
Return self upon entering the runtime context.
__exit__
__exit__(
*exc_info
) -> Optional[bool]
Raise any exception triggered within the runtime context.