tf.raw_ops.QuantizedMatMul

Perform a quantized matrix multiplication of a by the matrix b.

tf.raw_ops.QuantizedMatMul(
    a,
    b,
    min_a,
    max_a,
    min_b,
    max_b,
    Toutput=tf.dtypes.qint32,
    transpose_a=False,
    transpose_b=False,
    Tactivation=tf.dtypes.quint8,
    name=None
)

The inputs must be two-dimensional matrices and the inner dimension of a (after being transposed if transpose_a is non-zero) must match the outer dimension of b (after being transposed if transposed_b is non-zero).

a A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16. Must be a two-dimensional tensor. b A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16. Must be a two-dimensional tensor. min_a A Tensor of type float32. The float value that the lowest quantized a value represents. max_a A Tensor of type float32. The float value that the highest quantized a value represents. min_b A Tensor of type float32. The float value that the lowest quantized b value represents. max_b A Tensor of type float32. The float value that the highest quantized b value represents. Toutput An optional tf.DType from: tf.qint8, tf.quint8, tf.qint32, tf.qint16, tf.quint16. Defaults to tf.qint32. transpose_a An optional bool. Defaults to False. If true, a is transposed before multiplication. transpose_b An optional bool. Defaults to False. If true, b is transposed before multiplication. Tactivation An optional tf.DType from: tf.qint8, tf.quint8, tf.qint32, tf.qint16, tf.quint16. Defaults to tf.quint8. The type of output produced by activation function following this operation. name A name for the operation (optional).