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Function zeros_like

tensorflow/python/keras/backend.py:1373–1396  ·  view source on GitHub ↗

Instantiates an all-zeros variable of the same shape as another tensor. 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 wit

(x, dtype=None, name=None)

Source from the content-addressed store, hash-verified

1371
1372@keras_export('keras.backend.zeros_like')
1373def zeros_like(x, dtype=None, name=None):
1374 """Instantiates an all-zeros variable of the same shape as another tensor.
1375
1376 Arguments:
1377 x: Keras variable or Keras tensor.
1378 dtype: dtype of returned Keras variable.
1379 `None` uses the dtype of `x`.
1380 name: name for the variable to create.
1381
1382 Returns:
1383 A Keras variable with the shape of `x` filled with zeros.
1384
1385 Example:
1386
1387 ```python
1388 from tensorflow.keras import backend as K
1389 kvar = K.variable(np.random.random((2,3)))
1390 kvar_zeros = K.zeros_like(kvar)
1391 K.eval(kvar_zeros)
1392 # array([[ 0., 0., 0.], [ 0., 0., 0.]], dtype=float32)
1393 ```
1394
1395 """
1396 return array_ops.zeros_like(x, dtype=dtype, name=name)
1397
1398
1399@keras_export('keras.backend.ones_like')

Callers 2

batch_normalizationFunction · 0.70
rnnFunction · 0.70

Calls

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