Fix test missing target (pytorch#73415)

Summary:
Pull Request resolved: pytorch#73415

Fix test missing TARGET file issue.

Test Plan: buck test mode/opt deeplearning/trt/fx2trt_oss/test/quant:test_quant_trt

Reviewed By: yinghai

Differential Revision: D34400710

fbshipit-source-id: e68145b4e70db5333f4a8d11a2d240a2f38b4077
(cherry picked from commit fe78e63)

torch/ao/quantization/fx/backend_config/tensorrt.py

@@ -4,7 +4,7 @@
 import torch.nn.intrinsic as nni
 import torch.nn.intrinsic.qat as nniqat
 
-from ...fuser_method_mappings import reverse2
+from ...fuser_method_mappings import reverse_sequential_wrapper2
 
 def get_tensorrt_backend_config_dict():
     """ Get the backend config dictionary for tensorrt backend
@@ -63,15 +63,15 @@ def get_tensorrt_backend_config_dict():
         "dtype_configs": [
             weighted_op_qint8_dtype_config,
         ],
-        "fuser_method": reverse2(nni.LinearReLU),
+        "fuser_method": reverse_sequential_wrapper2(nni.LinearReLU),
     }
     linear_relu_mf_config = {
         "pattern": (torch.nn.functional.relu, torch.nn.Linear),
         "observation_type": ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
         "dtype_configs": [
             weighted_op_qint8_dtype_config,
         ],
-        "fuser_method": reverse2(nni.LinearReLU),
+        "fuser_method": reverse_sequential_wrapper2(nni.LinearReLU),
     }
 
     linear_relu_fused_config = {
@@ -156,15 +156,15 @@ def get_tensorrt_backend_config_dict():
         "dtype_configs": [
             weighted_op_qint8_dtype_config,
         ],
-        "fuser_method": reverse2(nni.ConvReLU2d),
+        "fuser_method": reverse_sequential_wrapper2(nni.ConvReLU2d),
     }
     conv2d_relu_mm_config = {
         "pattern": (torch.nn.ReLU, torch.nn.Conv2d),
         "observation_type": ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
         "dtype_configs": [
             weighted_op_qint8_dtype_config,
         ],
-        "fuser_method": reverse2(nni.ConvReLU2d),
+        "fuser_method": reverse_sequential_wrapper2(nni.ConvReLU2d),
     }
     addmm_config = {
         "pattern": torch.addmm,