tf.quantization.fake_quant_with_min_max_args_gradient

TensorFlow 2 version

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
)

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).

A Tensor of type float32.