tf.raw_ops.FakeQuantWithMinMaxArgsGradient

Compute gradients for a FakeQuantWithMinMaxArgs operation.

tf.raw_ops.FakeQuantWithMinMaxArgsGradient(
    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.