Removed formatting changes

Author: mapetre

onnxruntime/python/tools/quantization/operators/convtranspose2d.py

@@ -98,9 +98,7 @@ def quantize(self):
         if node.output[0] in self.quantizer.value_infos:
             op_shape = self.quantizer.value_infos[node.output[0]].type.tensor_type.shape.dim
             op_shape = [it.dim_value for it in op_shape]
-            self.quantizer.model.graph().value_info.extend(
-                [onnx.helper.make_tensor_value_info(qlinear_conv_node.output[0], onnx.TensorProto.INT8, shape=op_shape)]
-            )
+            self.quantizer.model.graph().value_info.extend([onnx.helper.make_tensor_value_info(qlinear_conv_node.output[0], onnx.TensorProto.INT8, shape=op_shape)])
 
         nodes.append(qlinear_conv_node)
 

onnxruntime/python/tools/quantization/operators/direct_q8.py

@@ -37,7 +37,8 @@ def quantize(self):
             # Force quantize those ops if possible, use exclude node list if this is not you want
             # TODO: this check seems overly restrictive, for now add an exception to allow MaxPool
             # forced quantization but invesigate full removing the check
-            if not self.quantizer.is_valid_quantize_weight(node.input[0]) and node.op_type != "MaxPool":
+            if not self.quantizer.is_valid_quantize_weight(node.input[0]) and\
+                node.op_type != 'MaxPool':
                 super().quantize()
                 return