public static class Conv2DBackpropInput.Attrs extends Pointer
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter
Constructor and Description |
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Attrs()
Default native constructor.
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Attrs(long size)
Native array allocator.
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Attrs(Pointer p)
Pointer cast constructor.
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address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getDirectBufferAddress, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero
public Attrs()
public Attrs(long size)
Pointer.position(long)
.public Attrs(Pointer p)
Pointer(Pointer)
.public Conv2DBackpropInput.Attrs position(long position)
public Conv2DBackpropInput.Attrs getPointer(long i)
getPointer
in class Pointer
@ByVal public Conv2DBackpropInput.Attrs UseCudnnOnGpu(@Cast(value="bool") boolean x)
@ByVal public Conv2DBackpropInput.Attrs ExplicitPaddings(@tensorflow.ArraySlice IntPointer x)
padding
is "EXPLICIT"
, the list of explicit padding amounts. For the ith
dimension, the amount of padding inserted before and after the dimension is
explicit_paddings[2 * i]
and explicit_paddings[2 * i + 1]
, respectively. If
padding
is not "EXPLICIT"
, explicit_paddings
must be empty.
Defaults to []@ByVal public Conv2DBackpropInput.Attrs ExplicitPaddings(@tensorflow.ArraySlice IntBuffer x)
@ByVal public Conv2DBackpropInput.Attrs ExplicitPaddings(@tensorflow.ArraySlice int... x)
@ByVal public Conv2DBackpropInput.Attrs DataFormat(@tensorflow.StringPiece BytePointer x)
@ByVal public Conv2DBackpropInput.Attrs DataFormat(@tensorflow.StringPiece String x)
@ByVal public Conv2DBackpropInput.Attrs Dilations(@tensorflow.ArraySlice IntPointer x)
input
. If set to k > 1, there will be k-1 skipped cells between each filter
element on that dimension. The dimension order is determined by the value of
data_format
, see above for details. Dilations in the batch and depth
dimensions must be 1.
Defaults to [1, 1, 1, 1]@ByVal public Conv2DBackpropInput.Attrs Dilations(@tensorflow.ArraySlice IntBuffer x)
@ByVal public Conv2DBackpropInput.Attrs Dilations(@tensorflow.ArraySlice int... x)
public Conv2DBackpropInput.Attrs use_cudnn_on_gpu_(boolean setter)
@tensorflow.ArraySlice public IntPointer explicit_paddings_()
public Conv2DBackpropInput.Attrs explicit_paddings_(IntPointer setter)
@tensorflow.StringPiece public BytePointer data_format_()
public Conv2DBackpropInput.Attrs data_format_(BytePointer setter)
@tensorflow.ArraySlice public IntPointer dilations_()
public Conv2DBackpropInput.Attrs dilations_(IntPointer setter)
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