Compute gradients for a FakeQuantWithMinMaxVars operation.
tf.raw_ops.FakeQuantWithMinMaxVarsGradient(
gradients, inputs, min, max, num_bits=8, narrow_range=False, name=None
)
gradients
Tensor of type float32.
Backpropagated gradients above the FakeQuantWithMinMaxVars operation.
inputs
Tensor of type float32.
Values passed as inputs to the FakeQuantWithMinMaxVars operation.
min, max: Quantization interval, scalar floats.
min
Tensor of type float32.
max
Tensor of type float32.
num_bits
int. Defaults to 8.
The bitwidth of the quantization; between 2 and 8, inclusive.
narrow_range
bool. Defaults to False.
Whether to quantize into 2^num_bits - 1 distinct values.
name
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Last updated 2024-04-26 UTC.