tf.keras.backend.zeros_like
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Instantiates an all-zeros variable of the same shape as another tensor.
tf.keras.backend.zeros_like(
x, dtype=None, name=None
)
Arguments |
x
|
Keras variable or Keras tensor.
|
dtype
|
dtype of returned Keras variable.
None uses the dtype of x .
|
name
|
name for the variable to create.
|
Returns |
A Keras variable with the shape of x filled with zeros.
|
Example:
from tensorflow.keras import backend as K
kvar = K.variable(np.random.random((2,3)))
kvar_zeros = K.zeros_like(kvar)
K.eval(kvar_zeros)
array([[ 0., 0., 0.], [ 0., 0., 0.]], dtype=float32)
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.backend.zeros_like\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/keras/backend/zeros_like) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.2.0/tensorflow/python/keras/backend.py#L1400-L1424) |\n\nInstantiates an all-zeros variable of the same shape as another tensor.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.backend.zeros_like`](/api_docs/python/tf/keras/backend/zeros_like)\n\n\u003cbr /\u003e\n\n tf.keras.backend.zeros_like(\n x, dtype=None, name=None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|---------|-----------------------------------------------------------------|\n| `x` | Keras variable or Keras tensor. |\n| `dtype` | dtype of returned Keras variable. `None` uses the dtype of `x`. |\n| `name` | name for the variable to create. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A Keras variable with the shape of `x` filled with zeros. ||\n\n\u003cbr /\u003e\n\n#### Example:\n\nfrom tensorflow.keras import backend as K\nkvar = K.variable(np.random.random((2,3)))\nkvar_zeros = K.zeros_like(kvar)\nK.eval(kvar_zeros)\n\narray(\\[\\[ 0., 0., 0.\\], \\[ 0., 0., 0.\\]\\], dtype=float32)\n=========================================================="]]