[quant][fx2trt] Generate engine graph for explicit quant/implicit quant and fp16 graph (#65289)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/65289
Turn on VERBOSE logging and use engine visualizer to generate the graph.
Runtime:
```
explicit quant result diff max tensor(0.0771)
implicit quant result diff max tensor(0.1909)
trt fp16 time (ms/iter) 1.0740923881530762
trt int8 time (ms/iter) 0.5288887023925781
trt implicit int8 time (ms/iter) 0.6334662437438965
PyTorch time (CUDA) (ms/iter) 4.448361396789551
PyTorch time (CPU) (ms/iter) 45.13296604156494
```
Generated Graphs:
```
explicit int8: https://www.internalfb.com/intern/graphviz/?paste=P458669571
implicit int8: https://www.internalfb.com/intern/graphviz/?paste=P458669656
fp16: https://www.internalfb.com/intern/graphviz/?paste=P458669708
```
Test Plan:
```
buck run mode/opt -c python.package_style=inplace caffe2:fx2trt_quantized_resnet_test 2>log
buck run //deeplearning/trt/fx2trt/tools:engine_layer_visualize -- --log_file log
```
Reviewed By: 842974287
Differential Revision: D30955035
fbshipit-source-id: 24949458ad9823fb026d56d78a6ee1c6874b6034
