tf.keras.backend.is_keras_tensor  |  TensorFlow v2.0.0 (original) (raw)

tf.keras.backend.is_keras_tensor

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Returns whether x is a Keras tensor.

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tf.compat.v1.keras.backend.is_keras_tensor

tf.keras.backend.is_keras_tensor(
    x
)

A "Keras tensor" is a tensor that was returned by a Keras layer, (Layer class) or by Input.

Examples:

`import tensorflow as tf`
`import numpy`
`from keras import backend as K`
`from keras.layers import Input, Dense`
`np_var = numpy.array([1, 2])`
`K.is_keras_tensor(np_var) # A numpy array is not a symbolic tensor.`
`    ValueError`
`k_var = tf.compat.v1.placeholder('float32', shape=(1,1))`
`K.is_keras_tensor(k_var) # A variable indirectly created outside of`
`    keras is not a Keras tensor.`
`    False`
`keras_var = K.variable(np_var)`
`K.is_keras_tensor(keras_var)  # A variable created with the keras`
`    backend is not a Keras tensor.`
`    False`
`keras_placeholder = K.placeholder(shape=(2, 4, 5))`
`K.is_keras_tensor(keras_placeholder)  # A placeholder is not a Keras`
`    tensor.`
`    False`
`keras_input = Input([10])`
`K.is_keras_tensor(keras_input) # An Input is a Keras tensor.`
`    True`
`keras_layer_output = Dense(10)(keras_input)`
`K.is_keras_tensor(keras_layer_output) # Any Keras layer output is a`
`    Keras tensor.`
`    True`

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Last updated 2020-10-01 UTC.