Revert "Patch the _is_conv_node function" (#2247)

This reverts commit 3884e29.

Author: HDCharles

test/quantization/pt2e/test_quantize_pt2e.py

@@ -2478,26 +2478,6 @@ def forward(self, x):
             node_list,
         )
 
-        example_inputs = (torch.randn(1, 3, 5, 5),)
-        node_occurrence = {
-            # two for input of the first conv, one for output for the first conv
-            torch.ops.quantized_decomposed.quantize_per_tensor.default: 2,
-            torch.ops.quantized_decomposed.dequantize_per_tensor.default: 3,
-        }
-        node_list = [
-            torch.ops.quantized_decomposed.dequantize_per_tensor.default,
-            torch.ops.quantized_decomposed.dequantize_per_tensor.default,
-            torch.ops.aten.conv2d.padding,
-            torch.ops.aten.relu.default,
-            torch.ops.quantized_decomposed.quantize_per_tensor.default,
-        ]
-        self._test_quantizer(
-            TestHelperModules.ConvWithBNRelu(dim=2, relu=True, bn=True, padding="same"),
-            example_inputs,
-            BackendAQuantizer(),
-            node_occurrence,
-            node_list,
-        )
     def test_conv_transpose3d_bn_relu(self):
         class BackendAQuantizer(Quantizer):
             def annotate(self, model: torch.fx.GraphModule) -> torch.fx.GraphModule:

torchao/quantization/pt2e/utils.py

@@ -625,11 +625,8 @@ def _is_conv_node(n: Node):
     """
     return n.op == "call_function" and n.target in [
         torch.ops.aten.conv1d.default,
-        torch.ops.aten.conv1d.padding,
         torch.ops.aten.conv2d.default,
-        torch.ops.aten.conv2d.padding,
         torch.ops.aten.conv3d.default,
-        torch.ops.aten.conv3d.padding,
     ]