tf.keras.backend.variable

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Instantiates a variable and returns it.

Aliases:

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:

>>> import numpy as np
>>> from keras import backend as K
>>> val = np.array([[1, 2], [3, 4]])
>>> kvar = K.variable(value=val, dtype='float64', name='example_var')
>>> K.dtype(kvar)
'float64'
>>> print(kvar)
example_var
>>> kvar.eval()
array([[ 1.,  2.],
       [ 3.,  4.]])