Compute gradients for a FakeQuantWithMinMaxArgs operation.
tf.quantization.fake_quant_with_min_max_args_gradient(
gradients, inputs, min=-6, max=6, num_bits=8, narrow_range=False, name=None
)
Args |
gradients
|
A Tensor of type float32 .
Backpropagated gradients above the FakeQuantWithMinMaxArgs operation.
|
inputs
|
A Tensor of type float32 .
Values passed as inputs to the FakeQuantWithMinMaxArgs operation.
|
min
|
An optional float . Defaults to -6 .
|
max
|
An optional float . Defaults to 6 .
|
num_bits
|
An optional int . Defaults to 8 .
|
narrow_range
|
An optional bool . Defaults to False .
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor of type float32 .
|