tf.raw_ops.QuantizedMul

Returns x * y element-wise, working on quantized buffers.

Compat aliases for migration

tf.compat.v1.raw_ops.QuantizedMul

tf.raw_ops.QuantizedMul(
    x,
    y,
    min_x,
    max_x,
    min_y,
    max_y,
    Toutput=tf.dtypes.qint32,
    name=None
)

Args
`x`	A `Tensor`. Must be one of the following types: `qint8`, `quint8`, `qint32`, `qint16`, `quint16`.
`y`	A `Tensor`. Must be one of the following types: `qint8`, `quint8`, `qint32`, `qint16`, `quint16`.
`min_x`	A `Tensor` of type `float32`. The float value that the lowest quantized `x` value represents.
`max_x`	A `Tensor` of type `float32`. The float value that the highest quantized `x` value represents.
`min_y`	A `Tensor` of type `float32`. The float value that the lowest quantized `y` value represents.
`max_y`	A `Tensor` of type `float32`. The float value that the highest quantized `y` value represents.
`Toutput`	An optional `tf.DType` from: `tf.qint8, tf.quint8, tf.qint32, tf.qint16, tf.quint16`. Defaults to `tf.qint32`.
`name`	A name for the operation (optional).

Returns
A tuple of `Tensor` objects (z, min_z, max_z).
`z`	A `Tensor` of type `Toutput`.
`min_z`	A `Tensor` of type `float32`.
`max_z`	A `Tensor` of type `float32`.

© 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/QuantizedMul

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