Saves input tensors slices to disk.

tf.raw_ops.SaveSlices( filename, tensor_names, shapes_and_slices, data, name=None )

This is like `Save`

except that tensors can be listed in the saved file as being a slice of a larger tensor. `shapes_and_slices`

specifies the shape of the larger tensor and the slice that this tensor covers. `shapes_and_slices`

must have as many elements as `tensor_names`

.

Elements of the `shapes_and_slices`

input must either be:

- The empty string, in which case the corresponding tensor is saved normally.
- A string of the form
`dim0 dim1 ... dimN-1 slice-spec`

where the`dimI`

are the dimensions of the larger tensor and`slice-spec`

specifies what part is covered by the tensor to save.

`slice-spec`

itself is a `:`

-separated list: `slice0:slice1:...:sliceN-1`

where each `sliceI`

is either:

- The string
`-`

meaning that the slice covers all indices of this dimension -
`start,length`

where`start`

and`length`

are integers. In that case the slice covers`length`

indices starting at`start`

.

See also `Save`

.

Args | |
---|---|

`filename` | A `Tensor` of type `string` . Must have a single element. The name of the file to which we write the tensor. |

`tensor_names` | A `Tensor` of type `string` . Shape `[N]` . The names of the tensors to be saved. |

`shapes_and_slices` | A `Tensor` of type `string` . Shape `[N]` . The shapes and slice specifications to use when saving the tensors. |

`data` | A list of `Tensor` objects. `N` tensors to save. |

`name` | A name for the operation (optional). |

Returns | |
---|---|

The created Operation. |

© 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/r2.4/api_docs/python/tf/raw_ops/SaveSlices