# Class name_scope

A context manager for use when defining a Python op. name_scopeInherits From:

# Aliases:

• Class tf.compat.v2.name_scope 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, b, c, name=None):
  with tf.name_scope("MyOp") 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)

When executed, the Tensors a, b, c, will have names MyOp/a, MyOp/b, and MyOp/c. If the scope name already exists, the name will be made unique by appending _n. For example, calling my_op the second time will generate MyOp_1/a, etc.

# init

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 __init__(name)

Initialize the context manager.

# Args:

• name: The prefix to use on all names created within the name scope.

# Raises:

• ValueError: If name is None, or not a string.

# Properties

# name

# Methods

# enter

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 __enter__()

Start the scope block.

# Returns:

The scope name.

# Raises:

• ValueError: if neither name nor default_name is provided but values are.

# exit

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 __exit__(
    type_arg,
    value_arg,
    traceback_arg
)