@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.LogSoftmax extends Pointer
i and class j we have
logsoftmax[i, j] = logits[i, j] - log(sum(exp(logits[i])))
Arguments:
* scope: A Scope object
* logits: 2-D with shape [batch_size, num_classes].
Returns:
* Output: Same shape as logits.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
LogSoftmax(Pointer p)
Pointer cast constructor.
|
LogSoftmax(tensorflow.Scope scope,
tensorflow.Input logits) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Input |
asInput() |
tensorflow.Output |
asOutput() |
tensorflow.Output |
logsoftmax() |
tensorflow.LogSoftmax |
logsoftmax(tensorflow.Output logsoftmax) |
tensorflow.Node |
node() |
tensorflow.Operation |
operation() |
tensorflow.LogSoftmax |
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 LogSoftmax(Pointer p)
Pointer.Pointer(Pointer).public LogSoftmax(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input logits)
@ByVal @Name(value="operator tensorflow::Output") public tensorflow.Output asOutput()
@ByVal @Name(value="operator tensorflow::Input") public tensorflow.Input asInput()
public tensorflow.Node node()
@ByRef public tensorflow.Operation operation()
public tensorflow.LogSoftmax operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output logsoftmax()
public tensorflow.LogSoftmax logsoftmax(tensorflow.Output logsoftmax)
Copyright © 2019. All rights reserved.