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Creates a tensor filled with a scalar value.

tf.fill( dims, value, name=None )

See also `tf.ones`

, `tf.zeros`

, `tf.one_hot`

, `tf.eye`

.

This operation creates a tensor of shape `dims`

and fills it with `value`

.

tf.fill([2, 3], 9) <tf.Tensor: shape=(2, 3), dtype=int32, numpy= array([[9, 9, 9], [9, 9, 9]], dtype=int32)>

`tf.fill`

evaluates at graph runtime and supports dynamic shapes based on other runtime `tf.Tensors`

, unlike `tf.constant(value, shape=dims)`

, which embeds the value as a `Const`

node.

Args | |
---|---|

`dims` | A 1-D sequence of non-negative numbers. Represents the shape of the output `tf.Tensor` . Entries should be of type: `int32` , `int64` . |

`value` | A value to fill the returned `tf.Tensor` . |

`name` | Optional string. The name of the output `tf.Tensor` . |

Returns | |
---|---|

A `tf.Tensor` with shape `dims` and the same dtype as `value` . |

Raises | |
---|---|

`InvalidArgumentError` | `dims` contains negative entries. |

`NotFoundError` | `dims` contains non-integer entries. |

Similar to `np.full`

. In `numpy`

, more parameters are supported. Passing a number argument as the shape (`np.full(5, value)`

) is valid in `numpy`

for specifying a 1-D shaped result, while TensorFlow does not support this syntax.

© 2020 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/versions/r2.3/api_docs/python/tf/fill