fix quantization errors of ConvTranspose with per_channel=True (#19996)

### Description
<!-- Describe your changes. -->
 - update axis value for per_channel quantization of QDQConv
   - we should use `axis=1` for ConvTranspose operator.


### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
- this PR fixes #19694,
which I have opened

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

@@ -247,7 +247,8 @@ def quantize(self):
             self.quantizer.quantize_activation_tensor(node.output[0])
 
         if self.quantizer.is_per_channel():
-            self.quantizer.quantize_weight_tensor_per_channel(node.input[1], 0)
+            axis = 0 if node.op_type == "Conv" else 1
+            self.quantizer.quantize_weight_tensor_per_channel(node.input[1], axis)
         else:
             self.quantizer.quantize_weight_tensor(node.input[1])