Returns the gradient of `QuantizeAndDequantizeV4`.
This is almost identical to QuantizeAndDequantizeV2, except that it returns a gradient of 1 for inputs that are within the quantization range, or 0 otherwise.
Nested Classes
class | QuantizeAndDequantizeV4.Options |
Optional attributes for
QuantizeAndDequantizeV4
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Public Methods
Output <T> |
asOutput
()
Returns the symbolic handle of a tensor.
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static QuantizeAndDequantizeV4.Options |
axis
(Long axis)
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static <T extends Number> QuantizeAndDequantizeV4 <T> | |
static QuantizeAndDequantizeV4.Options |
narrowRange
(Boolean narrowRange)
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static QuantizeAndDequantizeV4.Options |
numBits
(Long numBits)
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Output <T> |
output
()
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static QuantizeAndDequantizeV4.Options |
rangeGiven
(Boolean rangeGiven)
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static QuantizeAndDequantizeV4.Options |
roundMode
(String roundMode)
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static QuantizeAndDequantizeV4.Options |
signedInput
(Boolean signedInput)
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Inherited Methods
Public Methods
public Output <T> asOutput ()
Returns the symbolic handle of a 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.
public static QuantizeAndDequantizeV4 <T> create ( Scope scope, Operand <T> input, Operand <T> inputMin, Operand <T> inputMax, Options... options)
Factory method to create a class wrapping a new QuantizeAndDequantizeV4 operation.
Parameters
scope | current scope |
---|---|
options | carries optional attributes values |
Returns
- a new instance of QuantizeAndDequantizeV4