`#include <io_ops.h>`

Saves input tensors slices to disk.

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`

.

Arguments:

- scope: A Scope object
- filename: Must have a single element. The name of the file to which we write the tensor.
- tensor_names: Shape
`[N]`

. The names of the tensors to be saved. - shapes_and_slices: Shape
`[N]`

. The shapes and slice specifications to use when saving the tensors. - data:
`N`

tensors to save.

Returns:

- the created
`Operation`

Constructors and Destructors | |
---|---|

`SaveSlices(const ::tensorflow::Scope & scope, ::tensorflow::Input filename, ::tensorflow::Input tensor_names, ::tensorflow::Input shapes_and_slices, ::tensorflow::InputList data)` |

Public attributes | |
---|---|

`operation` |

Public functions | |
---|---|

`operator::tensorflow::Operation() const ` |

Operation operation

SaveSlices( const ::tensorflow::Scope & scope, ::tensorflow::Input filename, ::tensorflow::Input tensor_names, ::tensorflow::Input shapes_and_slices, ::tensorflow::InputList data )

operator::tensorflow::Operation() const

© 2017 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/api_docs/cc/class/tensorflow/ops/save-slices.html