Implement various features in https://github.com/pytorch/torchdynamo/issues/1644:
- Upload nightly run logs to /fsx before parsing - for backing up parsing failures.
- Flag models with (1) < 0.95x speedup, (2) > 2min compile time, (3) < 0.9x compression ratio
- Flag models that were passing yesterday but failed today.
- Other small bug fixes.
See https://github.com/pytorch/torchdynamo/issues/1831 for sample outputs.
Also tested by running run.sh:
```bash
# Setup the output directory
rm -rf ../test-dynamo-runner-logs-3/
mkdir ../test-dynamo-runner-logs-3/
# Commands for torchbench for device=cuda, dtype=float32 for training and for performance testing
python benchmarks/dynamo/torchbench.py --performance --float32 -dcuda --output=../test-dynamo-runner-logs-3//inductor_torchbench_float32_training_cuda_performance.csv --training --inductor --no-skip --dashboard --only mobilenet_v2 --cold_start_latency
# Commands for torchbench for device=cuda, dtype=float32 for training and for accuracy testing
python benchmarks/dynamo/torchbench.py --accuracy --float32 -dcuda --output=../test-dynamo-runner-logs-3//inductor_torchbench_float32_training_cuda_accuracy.csv --training --inductor --no-skip --dashboard --only mobilenet_v2
```
with the command
`python benchmarks/dynamo/runner.py --output-dir ../test-dynamo-runner-logs-3/ --dashboard-archive-path /data/home/williamwen/dynamo-runner-logs-copy --training --run --compilers inductor --flag-compilers inductor --suites torchbench --update-dashboard` (need to comment out the `generate_commands` line and change the github issue ID from 681 to something else).
Pull Request resolved: https://github.com/pytorch/pytorch/pull/88516
Approved by: https://github.com/anijain2305
