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Creates a tensor with all elements set to zero.
tf.compat.v1.zeros_like(
tensor, dtype=None, name=None, optimize=True
)
See also tf.zeros.
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.
Examples:
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)>
Args | |
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tensor
|
A Tensor.
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dtype
|
A type for the returned Tensor. Must be float16, float32,
float64, int8, uint8, int16, uint16, int32, int64,
complex64, complex128, bool or string. (optional)
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name
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A name for the operation (optional). |
optimize
|
if True, attempt to statically determine the shape of tensor
and encode it as a constant. (optional, defaults to True)
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Returns | |
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A Tensor with all elements set to zero.
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