@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.Split extends Pointer
num_split tensors along one dimension.
Arguments:
* scope: A Scope object
* axis: 0-D. The dimension along which to split. Must be in the range
[-rank(value), rank(value)).
* value: The tensor to split.
* num_split: The number of ways to split. Must evenly divide
value.shape[split_dim].
Returns:
* OutputList: They are identically shaped tensors, whose shape matches that of value
except along axis, where their sizes are
values.shape[split_dim] / num_split.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
Split(Pointer p)
Pointer cast constructor.
|
Split(tensorflow.Scope scope,
tensorflow.Input axis,
tensorflow.Input value,
long num_split) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Output |
get(long index) |
tensorflow.Operation |
operation() |
tensorflow.Split |
operation(tensorflow.Operation operation) |
tensorflow.OutputVector |
output() |
tensorflow.Split |
output(tensorflow.OutputVector output) |
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 Split(Pointer p)
Pointer.Pointer(Pointer).public Split(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input axis, @ByVal tensorflow.Input value, @Cast(value="tensorflow::int64") long num_split)
@ByVal @Name(value="operator []") public tensorflow.Output get(@Cast(value="size_t") long index)
@ByRef public tensorflow.Operation operation()
public tensorflow.Split operation(tensorflow.Operation operation)
@ByRef @Cast(value="tensorflow::OutputList*") public tensorflow.OutputVector output()
public tensorflow.Split output(tensorflow.OutputVector output)
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