Creates a tensor with all elements set to zero.
tf.zeros_like(
tensor, dtype=None, name=None, optimize=True
)
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]]
Args |
|---|
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.
|
Returns |
|---|
A Tensor with all elements set to zero.
|
TensorFlow 2 version
View source on GitHub