tf.raw_ops.QuantizeAndDequantizeV4Grad

Returns the gradient of QuantizeAndDequantizeV4.

Compat aliases for migration

tf.compat.v1.raw_ops.QuantizeAndDequantizeV4Grad

tf.raw_ops.QuantizeAndDequantizeV4Grad(
    gradients, input, input_min, input_max, axis=-1, name=None
)

Returns a gradient of 1 for inputs that are within the quantization range, or 0 otherwise.

Args
`gradients`	A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`.
`input`	A `Tensor`. Must have the same type as `gradients`.
`input_min`	A `Tensor`. Must have the same type as `gradients`.
`input_max`	A `Tensor`. Must have the same type as `gradients`.
`axis`	An optional `int`. Defaults to `-1`.
`name`	A name for the operation (optional).

Returns
A tuple of `Tensor` objects (input_backprop, input_min_backprop, input_max_backprop).
`input_backprop`	A `Tensor`. Has the same type as `gradients`.
`input_min_backprop`	A `Tensor`. Has the same type as `gradients`.
`input_max_backprop`	A `Tensor`. Has the same type as `gradients`.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/raw_ops/QuantizeAndDequantizeV4Grad

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