SaveSlices
tensorflow C++ API
Saves input tensors slices to disk.
Summary
This is likeSave
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 astensor_names
.
Elements of theshapes_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 thedimI
are the dimensions of the larger tensor andslice-spec
specifies what part is covered by the tensor to save.
slice-spec
itself is a:
-separated list:slice0:slice1:...:sliceN-1
where eachsliceI
is either:
- The string
-
meaning that the slice covers all indices of this dimensionstart,length
- where
start
andlength
are integers. In that case the slice coverslength
indices starting atstart
.
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.
Constructor
- SaveSlices(const ::tensorflow::Scope & scope, ::tensorflow::Input filename, ::tensorflow::Input tensor_names, ::tensorflow::Input shapes_and_slices, ::tensorflow::InputList data).
Public attributes
- tensorflow::Operation operation.
SaveSlices block
Source link : https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_i_o__ops.cpp
Argument:
- Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
- Input filename : input filename with path.
- Input tensor_names: input tensor_names.
- Input shapes_and_slices : input shapes_and_slices .
- InputList data : connect InputList node.
Return:
- Operation operation: Operation operation of SaveSlices class object.
Result:
- std::vector(Tensor) product_result : Returned object of executed result by calling session.