tf.keras.backend.variable

Instantiates a variable and returns it.

View aliases

Compat aliases for migration

tf.compat.v1.keras.backend.variable, tf.compat.v2.keras.backend.variable

tf.keras.backend.variable(
    value, dtype=None, name=None, constraint=None
)

Arguments:

value: Numpy array, initial value of the tensor.
dtype: Tensor type.
name: Optional name string for the tensor.
constraint: Optional projection function to be applied to the variable after an optimizer update.

Returns:

A variable instance (with Keras metadata included).

Examples:

>>> val = np.array([[1, 2], [3, 4]])
>>> kvar = tf.keras.backend.variable(value=val, dtype='float64',
...                                  name='example_var')
>>> tf.keras.backend.dtype(kvar)
'float64'
>>> print(kvar)
<tf.Variable 'example_var:...' shape=(2, 2) dtype=float64, numpy=
  array([[1., 2.],
         [3., 4.]])>