tf.compat.v1.zeros_like | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.zeros_like
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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 | |
|---|---|
| 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. (optional) |
| name | A name for the operation (optional). |
| optimize | if True, attempt to statically determine the shape of tensorand encode it as a constant. (optional, defaults to True) |
| Returns |
|---|
| A Tensor with all elements set to zero. |
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Last updated 2024-04-26 UTC.