Dequantize
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Takes the packed uint32 input and unpacks the input to uint8 to do
Dequantization on device.
Constants
String |
OP_NAME |
The name of this op, as known by TensorFlow core engine |
Inherited Methods
From class
java.lang.Object
boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
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Constants
public
static
final
String
OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"XlaDequantize"
Public Methods
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is
used to obtain a symbolic handle that represents the computation of the input.
Factory method to create a class wrapping a new Dequantize operation.
Parameters
scope |
current scope |
input |
Input tensors whose types is uint32, shape is [d0, ..., dn]. |
minRange |
The minimum scalar value possibly produced for the input. |
maxRange |
The maximum scalar value possibly produced for the input. |
mode |
String to determine the dequantize mode in {"MIN_COMBINED", "MIN_FIRST", "SCALED"}. |
transposeOutput |
Boolean to determine if output is transposed. transpose_output
is faster when input is large and rank of input is higher than 1. |
Returns
- a new instance of Dequantize
Output tensors whose types is bloat16. If transpose_output is true,
output shape is [dn * 4, dn-1, ..., d1, d0]. If transpose_output
is false, output shape is [d0,..., dn * 4].
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Last updated 2021-11-29 UTC.
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