tf.keras.backend.variable(
value,
dtype=None,
name=None,
constraint=None
)
Defined in tensorflow/python/keras/backend.py.
Instantiates a variable and returns it.
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:
python
>>> 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.]])