tf.raw_ops.FakeQuantWithMinMaxVarsGradient
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Compute gradients for a FakeQuantWithMinMaxVars operation.
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tf.compat.v1.raw_ops.FakeQuantWithMinMaxVarsGradient
tf . raw_ops . FakeQuantWithMinMaxVarsGradient (
gradients , inputs , min , max , num_bits = 8 , narrow_range = False , name = None
)
Args
gradients
A Tensor
of type float32
.
Backpropagated gradients above the FakeQuantWithMinMaxVars operation.
inputs
A Tensor
of type float32
.
Values passed as inputs to the FakeQuantWithMinMaxVars operation.
min, max: Quantization interval, scalar floats.
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 8, 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).
backprops_wrt_input
A Tensor
of type float32
.
backprop_wrt_min
A Tensor
of type float32
.
backprop_wrt_max
A Tensor
of type float32
.
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Last updated 2024-01-23 UTC.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]