Quantizes then dequantizes a tensor.
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.Options axis (Long axis)
Parameters
axis | If specified, this axis is treated as a channel or slice axis, and a separate quantization range is used for each channel or slice along this axis. |
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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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input | Tensor to quantize and then dequantize. |
inputMin | If `range_given == True`, this specifies the minimum input value that needs to be represented, otherwise it is determined from the min value of the `input` tensor. |
inputMax | If `range_given == True`, this specifies the maximum input value that needs to be represented, otherwise it is determined from the max value of the `input` tensor. |
options | carries optional attributes values |
Returns
- a new instance of QuantizeAndDequantizeV4
public static QuantizeAndDequantizeV4.Options narrowRange (Boolean narrowRange)
Parameters
narrowRange | If True, then the absolute value of the quantized minimum value is the same as the quantized maximum value, instead of 1 greater. i.e. for 8 bit quantization, the minimum value is -127 instead of -128. |
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public static QuantizeAndDequantizeV4.Options numBits (Long numBits)
Parameters
numBits | The bitwidth of the quantization. |
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public static QuantizeAndDequantizeV4.Options rangeGiven (Boolean rangeGiven)
Parameters
rangeGiven | Whether the range is given or should be determined from the `input` tensor. |
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public static QuantizeAndDequantizeV4.Options roundMode (String roundMode)
Parameters
roundMode |
The 'round_mode' attribute controls which rounding tie-breaking algorithm is
used when rounding float values to their quantized equivalents. The following
rounding modes are currently supported:
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public static QuantizeAndDequantizeV4.Options signedInput (Boolean signedInput)
Parameters
signedInput | Whether the quantization is signed or unsigned. (actually this parameter should have been called `signed_output` ) |
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