Returns the gradient of `quantization.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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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
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static QuantizeAndDequantizeV4.Options |
axis(Long axis)
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static <T extends TNumber> 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
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<T> asOutput ()
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.
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 |
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options | carries optional attributes values |
Returns
- a new instance of QuantizeAndDequantizeV4