Fix naming convention in quantizer

Differential Revision: D72594670

Pull Request resolved: #9941

Author: mcremon-meta

backends/cadence/aot/quantizer/quantizer.py

@@ -43,7 +43,7 @@
 from torch.ao.quantization.quantizer.composable_quantizer import ComposableQuantizer
 
 
-act_qspec_asym8u = QuantizationSpec(
+act_qspec_asym8s = QuantizationSpec(
     dtype=torch.int8,
     quant_min=-128,
     quant_max=127,
@@ -52,7 +52,7 @@
     observer_or_fake_quant_ctr=HistogramObserver.with_args(eps=2**-12),
 )
 
-wgt_qspec_asym8u = QuantizationSpec(
+wgt_qspec_asym8s = QuantizationSpec(
     dtype=torch.int8,
     quant_min=-128,
     quant_max=127,
@@ -61,7 +61,7 @@
     observer_or_fake_quant_ctr=MinMaxObserver,
 )
 
-wgt_qspec_asym8s = QuantizationSpec(
+wgt_qspec_sym8s = QuantizationSpec(
     dtype=torch.int8,
     quant_min=-128,
     quant_max=127,
@@ -72,17 +72,17 @@
 
 bias_qspec: Optional[QuantizationSpec] = None
 
-qconfig_A8uW8u = QuantizationConfig(
-    act_qspec_asym8u,
-    act_qspec_asym8u,
-    wgt_qspec_asym8u,
+qconfig_A8W8 = QuantizationConfig(
+    act_qspec_asym8s,
+    act_qspec_asym8s,
+    wgt_qspec_asym8s,
     None,
 )
 
-qconfig_A8uW8s = QuantizationConfig(
-    act_qspec_asym8u,
-    act_qspec_asym8u,
-    wgt_qspec_asym8s,
+qconfig_A8W8sym = QuantizationConfig(
+    act_qspec_asym8s,
+    act_qspec_asym8s,
+    wgt_qspec_sym8s,
     None,
 )
 
@@ -189,15 +189,15 @@ def get_supported_operators(cls) -> List[OperatorConfig]:
 
 def get_cadence_default_quantizers() -> List[Quantizer]:
     return [
-        CadenceAtenQuantizer(AddmmPattern(), qconfig_A8uW8u),
-        CadenceAtenQuantizer(BmmPattern(), qconfig_A8uW8u),
-        CadenceAtenQuantizer(Conv1dPattern(), qconfig_A8uW8s),
-        CadenceAtenQuantizer(Conv2dPattern(), qconfig_A8uW8s),
-        CadenceAtenQuantizer(LayerNormPattern(), qconfig_A8uW8u),
-        CadenceAtenQuantizer(LinearPattern(), qconfig_A8uW8u),
-        CadenceAtenQuantizer(MatmulPattern(), qconfig_A8uW8u),
-        CadenceAtenQuantizer(ReluPattern0(), qconfig_A8uW8u),
-        CadenceAtenQuantizer(ReluPattern1(), qconfig_A8uW8u),
+        CadenceAtenQuantizer(AddmmPattern(), qconfig_A8W8),
+        CadenceAtenQuantizer(BmmPattern(), qconfig_A8W8),
+        CadenceAtenQuantizer(Conv1dPattern(), qconfig_A8W8sym),
+        CadenceAtenQuantizer(Conv2dPattern(), qconfig_A8W8sym),
+        CadenceAtenQuantizer(LayerNormPattern(), qconfig_A8W8),
+        CadenceAtenQuantizer(LinearPattern(), qconfig_A8W8),
+        CadenceAtenQuantizer(MatmulPattern(), qconfig_A8W8),
+        CadenceAtenQuantizer(ReluPattern0(), qconfig_A8W8),
+        CadenceAtenQuantizer(ReluPattern1(), qconfig_A8W8),
     ]
 
 
@@ -244,6 +244,6 @@ class CadenceWakeWordQuantizer(CadenceQuantizer):
     def __init__(self, quantizers: Optional[list[Quantizer]] = None) -> None:
         if quantizers is None:
             quantizers = get_cadence_default_quantizers()
-        quantizers.append(CadenceAtenQuantizer(AddPattern(), qconfig_A8uW8u))
-        quantizers.append(CadenceAtenQuantizer(CatPattern(), qconfig_A8uW8u))
+        quantizers.append(CadenceAtenQuantizer(AddPattern(), qconfig_A8W8))
+        quantizers.append(CadenceAtenQuantizer(CatPattern(), qconfig_A8W8))
         super().__init__(quantizers)