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. |
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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/raw_ops/FakeQuantWithMinMaxArgsGradient