tf.quantization.fake_quant_with_min_max_args_gradient

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.