If range_given=True, the minimum input value, that needs to be
represented in the quantized representation. If axis is specified, this
should be a vector of minimum values for each slice along axis.
input_max
If range_given=True, the maximum input value that needs to be
represented in the quantized representation. If axis is specified, this
should be a vector of maximum values for each slice along axis.
signed_input
True if the quantization is signed or unsigned.
num_bits
The bitwidth of the quantization.
range_given
If true use input_min and input_max for the range of the
input, otherwise determine min and max from the input Tensor.
round_mode
Rounding mode when rounding from float values to quantized ones.
one of ['HALF_TO_EVEN', 'HALF_UP']
name
Optional name for the operation.
narrow_range
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
Integer. If specified, refers to a dimension of the input tensor, such
that quantization will be per slice along that dimension.
Returns
A Tensor. Each element is the result of quantizing and dequantizing the
corresponding element of input.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-03-23 UTC."],[],[]]