QuantizedMatmul¶
- class paddle.nn.quant.quant_layers. QuantizedMatmul ( layer=None, weight_bits=8, activation_bits=8, moving_rate=0.9, weight_quantize_type='abs_max', activation_quantize_type='abs_max', weight_pre_layer=None, act_pre_layer=None, weight_quant_layer=None, act_quant_layer=None ) [source]
-
The computational logic of QuantizedMatmul is the same with Matmul. The only difference is that its inputs are all fake quantized.
-
forward
(
x,
y,
transpose_x=False,
transpose_y=False,
name=None
)
forward¶
-
Defines the computation performed at every call. Should be overridden by all subclasses.
- Parameters
-
*inputs (tuple) – unpacked tuple arguments
**kwargs (dict) – unpacked dict arguments
-
forward
(
x,
y,
transpose_x=False,
transpose_y=False,
name=None
)