tf.fake_quant_with_min_max_args_gradient(gradients, inputs, min=None, max=None, name=None)

tf.fake_quant_with_min_max_args_gradient(gradients, inputs, min=None, max=None, name=None)

See the guide: Tensor Transformations > Fake quantization

Compute gradients for a FakeQuantWithMinMaxArgs operation.

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.
  • name: A name for the operation (optional).

Returns:

A Tensor of type float32. Backpropagated gradients below the FakeQuantWithMinMaxArgs operation: gradients * (inputs >= min && inputs <= max).

Defined in tensorflow/python/ops/gen_array_ops.py.