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Creates a tensor with all elements set to zero.
tf.zeros_like( input, dtype=None, name=None )
See also tf.zeros
.
Given a single tensor or array-like object (input
), this operation returns a tensor of the same type and shape as input
with all elements set to zero. Optionally, you can use dtype
to specify a new type for the returned tensor.
tensor = tf.constant([[1, 2, 3], [4, 5, 6]]) tf.zeros_like(tensor) <tf.Tensor: shape=(2, 3), dtype=int32, numpy= array([[0, 0, 0], [0, 0, 0]], dtype=int32)>
tf.zeros_like(tensor, dtype=tf.float32) <tf.Tensor: shape=(2, 3), dtype=float32, numpy= array([[0., 0., 0.], [0., 0., 0.]], dtype=float32)>
tf.zeros_like([[1, 2, 3], [4, 5, 6]]) <tf.Tensor: shape=(2, 3), dtype=int32, numpy= array([[0, 0, 0], [0, 0, 0]], dtype=int32)>
Args | |
---|---|
input | A Tensor or array-like object. |
dtype | A type for the returned Tensor . Must be float16 , float32 , float64 , int8 , uint8 , int16 , uint16 , int32 , int64 , complex64 , complex128 , bool or string (optional). |
name | A name for the operation (optional). |
Returns | |
---|---|
A Tensor with all elements set to zero. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/zeros_like