tf.raw_ops.QuantizedMul

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

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.