tf.raw_ops.FakeQuantWithMinMaxVarsGradient
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Compute gradients for a FakeQuantWithMinMaxVars operation.
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 2023-03-27 UTC.
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