A Tensor of type float32.
Backpropagated gradients above the FakeQuantWithMinMaxVars operation,
shape one of: [d], [b, d], [b, h, w, d].
inputs
A Tensor of type float32.
Values passed as inputs to the FakeQuantWithMinMaxVars operation, shape
same as gradients.
min, max: Quantization interval, floats of shape [d].
min
A Tensor of type float32.
max
A Tensor of type float32.
num_bits
An optional int. Defaults to 8.
The bitwidth of the quantization; between 2 and 16, inclusive.
narrow_range
An optional bool. Defaults to False.
Whether to quantize into 2^num_bits - 1 distinct values.
name
A name for the operation (optional).
Returns
A tuple of Tensor objects (backprops_wrt_input, backprop_wrt_min, backprop_wrt_max).
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2022-10-27 UTC."],[],[]]