@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.Save extends Pointer
tensor_names must match the number of tensors in data. data[i]
is written to filename with name tensor_names[i].
See also SaveSlices.
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.
* data: N tensors to save.
Returns:
* the created OperationPointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
Save(Pointer p)
Pointer cast constructor.
|
Save(tensorflow.Scope scope,
tensorflow.Input filename,
tensorflow.Input tensor_names,
tensorflow.InputList data) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Operation |
asOperation() |
tensorflow.Operation |
operation() |
tensorflow.Save |
operation(tensorflow.Operation operation) |
address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zeropublic Save(Pointer p)
Pointer.Pointer(Pointer).public Save(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input filename, @ByVal tensorflow.Input tensor_names, @ByVal tensorflow.InputList data)
@ByVal @Name(value="operator tensorflow::Operation") public tensorflow.Operation asOperation()
@ByRef public tensorflow.Operation operation()
public tensorflow.Save operation(tensorflow.Operation operation)
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