public static class tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient.Attrs extends Pointer
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| 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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| Modifier and Type | Method and Description |
|---|---|
boolean |
narrow_range_() |
tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient.Attrs |
narrow_range_(boolean narrow_range_) |
tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient.Attrs |
NarrowRange(boolean x)
Whether to quantize into 2^num_bits - 1 distinct values.
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long |
num_bits_() |
tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient.Attrs |
num_bits_(long num_bits_) |
tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient.Attrs |
NumBits(long x)
The bitwidth of the quantization; between 2 and 16, inclusive.
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tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient.Attrs |
position(long position) |
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, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zeropublic Attrs()
public Attrs(long size)
Pointer.position(long).public Attrs(Pointer p)
Pointer.Pointer(Pointer).public tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient.Attrs position(long position)
@ByVal public tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient.Attrs NumBits(@Cast(value="tensorflow::int64") long x)
@ByVal public tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient.Attrs NarrowRange(@Cast(value="bool") boolean x)
public tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient.Attrs num_bits_(long num_bits_)
public tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient.Attrs narrow_range_(boolean narrow_range_)
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