tf.raw_ops.QuantizedMatMulWithBiasAndDequantize
tf.raw_ops.QuantizedMatMulWithBiasAndDequantize(
a, b, bias, min_a, max_a, min_b, max_b, min_freezed_output, max_freezed_output,
Toutput, transpose_a=False, transpose_b=False, input_quant_mode='MIN_FIRST',
name=None
)
| Args |
a |
A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16. |
b |
A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16. |
bias |
A Tensor. Must be one of the following types: float32, qint32. |
min_a |
A Tensor of type float32. |
max_a |
A Tensor of type float32. |
min_b |
A Tensor of type float32. |
max_b |
A Tensor of type float32. |
min_freezed_output |
A Tensor of type float32. |
max_freezed_output |
A Tensor of type float32. |
Toutput |
A tf.DType from: tf.float32. |
transpose_a |
An optional bool. Defaults to False. |
transpose_b |
An optional bool. Defaults to False. |
input_quant_mode |
An optional string from: "MIN_FIRST", "SCALED". Defaults to "MIN_FIRST". |
name |
A name for the operation (optional). |
| Returns |
A Tensor of type Toutput. |