Quantizes then dequantizes a tensor.
tf.raw_ops.QuantizeAndDequantizeV4(
input,
input_min,
input_max,
signed_input=True,
num_bits=8,
range_given=False,
round_mode='HALF_TO_EVEN',
narrow_range=False,
axis=-1,
name=None
)
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.
Args |
input
|
A Tensor . Must be one of the following types: bfloat16 , half , float32 , float64 .
Tensor to quantize and then dequantize.
|
input_min
|
A Tensor . Must have the same type as input .
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.
|
input_max
|
A Tensor . Must have the same type as input .
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.
|
signed_input
|
An optional bool . Defaults to True .
Whether the quantization is signed or unsigned. (actually this parameter should
have been called signed_output )
|
num_bits
|
An optional int . Defaults to 8 .
The bitwidth of the quantization.
|
range_given
|
An optional bool . Defaults to False .
Whether the range is given or should be determined from the input tensor.
|
round_mode
|
An optional string from: "HALF_TO_EVEN", "HALF_UP" . Defaults to "HALF_TO_EVEN" .
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:
- HALF_TO_EVEN: this is the default round_mode.
- HALF_UP: round towards positive. In this mode 7.5 rounds up to 8 and -7.5
rounds up to -7.
|
narrow_range
|
An optional bool . Defaults to False .
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.
|
axis
|
An optional int . Defaults to -1 .
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.
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor . Has the same type as input .
|