tf.raw_ops.SaveSlices
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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.
|
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.SaveSlices\n\n\u003cbr /\u003e\n\nSaves input tensors slices to disk.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.SaveSlices`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/SaveSlices)\n\n\u003cbr /\u003e\n\n tf.raw_ops.SaveSlices(\n filename, tensor_names, shapes_and_slices, data, name=None\n )\n\nThis is like `Save` except that tensors can be listed in the saved file as being\na slice of a larger tensor. `shapes_and_slices` specifies the shape of the\nlarger tensor and the slice that this tensor covers. `shapes_and_slices` must\nhave as many elements as `tensor_names`.\n\nElements of the `shapes_and_slices` input must either be:\n\n- The empty string, in which case the corresponding tensor is saved normally.\n- 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.\n\n`slice-spec` itself is a `:`-separated list: `slice0:slice1:...:sliceN-1`\nwhere each `sliceI` is either:\n\n- The string `-` meaning that the slice covers all indices of this dimension\n- `start,length` where `start` and `length` are integers. In that case the slice covers `length` indices starting at `start`.\n\nSee also `Save`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------------|---------------------------------------------------------------------------------------------------------------|\n| `filename` | A `Tensor` of type `string`. Must have a single element. The name of the file to which we write the tensor. |\n| `tensor_names` | A `Tensor` of type `string`. Shape `[N]`. The names of the tensors to be saved. |\n| `shapes_and_slices` | A `Tensor` of type `string`. Shape `[N]`. The shapes and slice specifications to use when saving the tensors. |\n| `data` | A list of `Tensor` objects. `N` tensors to save. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| The created Operation. ||\n\n\u003cbr /\u003e"]]