TensorFlow 1 version
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View source on GitHub
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Returns the value of a variable.
tf.keras.backend.get_value(
x
)
backend.get_value is the compliment of backend.set_value, and provides
a generic interface for reading from variables while abstracting away the
differences between TensorFlow 1.x and 2.x semantics.
K = tf.keras.backend # Common keras conventionv = K.variable(1.)
# reassignK.set_value(v, 2.)print(K.get_value(v))2.0
# incrementK.set_value(v, K.get_value(v) + 1)print(K.get_value(v))3.0
Variable semantics in TensorFlow 2 are eager execution friendly. The above code is roughly equivalent to:
v = tf.Variable(1.)v.assign(2.)print(v.numpy())2.0
v.assign_add(1.)print(v.numpy())3.0
Arguments | |
|---|---|
x
|
input variable. |
Returns | |
|---|---|
| A Numpy array. |
TensorFlow 1 version
View source on GitHub