refine

microsoft · Jul 13, 2021 · 5fded17 · 5fded17
1 parent 1bae39b
commit 5fded17
Showing 1 changed file with 2 additions and 3 deletions.
diff --git a/nni/algorithms/compression/pytorch/quantization/quantizers.py b/nni/algorithms/compression/pytorch/quantization/quantizers.py
@@ -124,9 +124,8 @@ def quant_backward(tensor, grad_output, quant_type, scale, zero_point, qmin, qma
 
 
 class ObserverQuantizer(Quantizer):
-    """
-    This quantizer uses observers to record weight/activation statistics to get quantization
-    information. The whole process can be divided into three steps:
+    """This quantizer uses observers to record weight/activation statistics to get quantization information.
+    The whole process can be divided into three steps:
         1. It will register observers to the place where quantization would happen (just like registering hooks).
         2. The observers would record tensors' statistics during calibration.
         3. Scale & zero point would be obtained after calibration.