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 . |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/quantization/fake_quant_with_min_max_args_gradient