tf.zeros_like( tensor, dtype=None, name=None, optimize=True )
Defined in tensorflow/python/ops/array_ops.py
.
See the guide: Constants, Sequences, and Random Values > Constant Value Tensors
Creates a tensor with all elements set to zero.
Given a single tensor (tensor
), this operation returns a tensor of the same type and shape as tensor
with all elements set to zero. Optionally, you can use dtype
to specify a new type for the returned tensor.
For example:
tensor = tf.constant([[1, 2, 3], [4, 5, 6]]) tf.zeros_like(tensor) # [[0, 0, 0], [0, 0, 0]]
tensor
: A Tensor
.dtype
: A type for the returned Tensor
. Must be float16
, float32
, float64
, int8
, uint8
, int16
, uint16
, int32
, int64
, complex64
, complex128
, bool
or string
.name
: A name for the operation (optional).optimize
: if true, attempt to statically determine the shape of 'tensor' and encode it as a constant.A Tensor
with all elements set to zero.
© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/zeros_like