tensorflow:: ops:: SaveSlices
#include <io_ops.h>
Saves input tensors slices to disk.
Summary
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-specwhere thedimIare the dimensions of the larger tensor andslice-specspecifies 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,lengthwherestartandlengthare integers. In that case the slice coverslengthindices starting atstart.
See also Save.
Args:
- 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:
Ntensors to save.
Returns:
- the created
Operation
Constructors and Destructors |
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SaveSlices(const ::tensorflow::Scope & scope, ::tensorflow::Input filename, ::tensorflow::Input tensor_names, ::tensorflow::Input shapes_and_slices, ::tensorflow::InputList data)
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Public attributes |
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operation
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Public functions |
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operator::tensorflow::Operation() const
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Public attributes
operation
Operation operation
Public functions
SaveSlices
SaveSlices( const ::tensorflow::Scope & scope, ::tensorflow::Input filename, ::tensorflow::Input tensor_names, ::tensorflow::Input shapes_and_slices, ::tensorflow::InputList data )
operator::tensorflow::Operation
operator::tensorflow::Operation() const