@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.MaxPoolGradGradWithArgmax extends Pointer
[batch, height, width, channels]. Gradients w.r.t. the
input of max_pool.
* argmax: The indices of the maximum values chosen for each output of max_pool.
* ksize: The size of the window for each dimension of the input tensor.
* strides: The stride of the sliding window for each dimension of the
input tensor.
* padding: The type of padding algorithm to use.
Returns:
* Output: Gradients of gradients w.r.t. the input of max_pool.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Modifier and Type | Method and Description |
|---|---|
tensorflow.Input |
asInput() |
tensorflow.Output |
asOutput() |
tensorflow.Node |
node() |
tensorflow.Operation |
operation() |
tensorflow.MaxPoolGradGradWithArgmax |
operation(tensorflow.Operation operation) |
tensorflow.Output |
output() |
tensorflow.MaxPoolGradGradWithArgmax |
output(tensorflow.Output 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 MaxPoolGradGradWithArgmax(Pointer p)
Pointer.Pointer(Pointer).public MaxPoolGradGradWithArgmax(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input grad, @ByVal tensorflow.Input argmax, @tensorflow.ArraySlice IntPointer ksize, @tensorflow.ArraySlice IntPointer strides, @tensorflow.StringPiece BytePointer padding)
public MaxPoolGradGradWithArgmax(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input grad, @ByVal tensorflow.Input argmax, @tensorflow.ArraySlice IntBuffer ksize, @tensorflow.ArraySlice IntBuffer strides, @tensorflow.StringPiece String padding)
public MaxPoolGradGradWithArgmax(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input grad, @ByVal tensorflow.Input argmax, @tensorflow.ArraySlice int[] ksize, @tensorflow.ArraySlice int[] strides, @tensorflow.StringPiece BytePointer padding)
public MaxPoolGradGradWithArgmax(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input grad, @ByVal tensorflow.Input argmax, @tensorflow.ArraySlice IntPointer ksize, @tensorflow.ArraySlice IntPointer strides, @tensorflow.StringPiece String padding)
public MaxPoolGradGradWithArgmax(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input grad, @ByVal tensorflow.Input argmax, @tensorflow.ArraySlice IntBuffer ksize, @tensorflow.ArraySlice IntBuffer strides, @tensorflow.StringPiece BytePointer padding)
public MaxPoolGradGradWithArgmax(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input grad, @ByVal tensorflow.Input argmax, @tensorflow.ArraySlice int[] ksize, @tensorflow.ArraySlice int[] strides, @tensorflow.StringPiece String padding)
@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.MaxPoolGradGradWithArgmax operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output output()
public tensorflow.MaxPoolGradGradWithArgmax output(tensorflow.Output output)
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