|---| | [ View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.21.0/tensorflow/python/ops/array_ops.py#L2701-L2753) | Creates a tensor with all elements set to zero. tf.zeros_like( input, dtype=None, name=None, layout=None ) ### Used in the notebooks | Used in the guide | Used in the tutorials | |---|---| | - [Automatically rewrite TF 1.x and compat.v1 API symbols](https://www.tensorflow.org/guide/migrate/upgrade) | - [CycleGAN](https://www.tensorflow.org/tutorials/generative/cyclegan) - [Deep Convolutional Generative Adversarial Network](https://www.tensorflow.org/tutorials/generative/dcgan) - [DeepDream](https://www.tensorflow.org/tutorials/generative/deepdream) - [pix2pix: Image-to-image translation with a conditional GAN](https://www.tensorflow.org/tutorials/generative/pix2pix) - [Integrated gradients](https://www.tensorflow.org/tutorials/interpretability/integrated_gradients) | See also [`tf.zeros`](https://www.tensorflow.org/api_docs/python/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. Note that the layout of the input tensor is not preserved if the op is used inside tf.function. To obtain a tensor with the same layout as the input, chain the returned value to a [`dtensor.relayout_like`](https://www.tensorflow.org/api_docs/python/tf/experimental/dtensor/relayout_like).


| ## Examples || |---|---| |
>>> tensor = tf.constant([[1, 2, 3], [4, 5, 6]]) >>> tf.zeros_like(tensor) tf.zeros_like(tensor, dtype=tf.float32) tf.zeros_like([[1, 2, 3], [4, 5, 6]])
||



| ## 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). | | `layout` | Optional, [`tf.experimental.dtensor.Layout`](https://www.tensorflow.org/api_docs/python/tf/experimental/dtensor/Layout). If provided, the result is a [DTensor](https://www.tensorflow.org/guide/dtensor_overview) with the provided layout. |



| ## Returns || |---|---| | A `Tensor` with all elements set to zero. ||