SaveSlices
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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`.
Constants
String |
OP_NAME |
The name of this op, as known by TensorFlow core engine |
Inherited Methods
From class
java.lang.Object
boolean
|
equals(Object arg0)
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final
Class<?>
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getClass()
|
int
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hashCode()
|
final
void
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notify()
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final
void
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notifyAll()
|
String
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toString()
|
final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
|
Constants
public
static
final
String
OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"SaveSlices"
Public Methods
Factory method to create a class wrapping a new SaveSlices operation.
Parameters
scope |
current scope |
filename |
Must have a single element. The name of the file to which we write the
tensor. |
tensorNames |
Shape `[N]`. The names of the tensors to be saved. |
shapesAndSlices |
Shape `[N]`. The shapes and slice specifications to use when
saving the tensors. |
data |
`N` tensors to save. |
Returns
- a new instance of SaveSlices
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Last updated 2021-11-29 UTC.
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