✨[Feature]Implement the fx2trt coverters using the torch2trt converters

[apbose]

Feature context.
This feature tracks the progress in implementing the fx2trt converters using the torch2trt converters

Task steps:

1. Run the unit tests in TensorRT TensorRT/py/torch_tensorrt/fx/test/aten_op/*.py to study acc and aten trace and how they differ
   STATUS : done

2. Run progressively the model list and start supporting all the ops in the models. The model list:
   squeezenet1_0
   mobilenet_v2
   inception_v3
   efficientnet_b0
   regnet_y_8gf
   STATUS: At present the test exists for resnet18 /TensorRT/py/torch_tensorrt/fx/test/tracer/test_resnet.py. Expand this for the above networks

3. In the process, integrate the converters such that they are agnostic to the aten and acc tracers. So we would want to make the flow generic to fx2trt
   STATUS : In progress

[github-actions]

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