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:
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:
-
meaning that the slice covers all indices of this dimensionstart,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/r2.3/api_docs/python/tf/raw_ops/SaveSlices