Enable TORCH_TRACE by default in all Tupperware like environments (#120915)
Summary:
This is a reimplemented version of the FB specific code in https://www.internalfb.com/diff/D54230697
The new strategy is that we unconditionally install an FB handler to trace_log logger (and always set level to DEBUG). When the first log message is emitted, we check the JK/filesystem to see if we should actually do logging. If we decide we don't do logging, we remove the handler from trace_log and are done.
build_only[github-export-checks,executorch,pytorch_benchmark,pytorch_quantization,pytorch_distributed,pytorch_distributed_gpu,pytorch_dynamo_inductor,pytorch_functorch,pytorch_fx2trt,pytorch_diff_train_tests_ads,glow_fb_pytorch_tests,training_platform,training_platform_compatibility,training_toolkit_applications,training_toolkit_examples,training_toolkit_model_optimization,dper3_pytorch,xplat_caffe2,pytorch_dev,android-pytorch-instrumentation-tests,smartpytorchgithub_first_try_merge,frl-target-determinator,f6-buck,training_platform_for_github,sigmoid_cpu,sigmoid_gpu,aiplatform_modelprocessing_for_github,accelerators_workloads_models_slimdsnn,ae_aotinductor_benchmark_test,aps_,aps_deterministic_ne_tests,dper_lib_silvertorch,torchrec,torchrec_fb,deeplearning_aot_inductor]
Test Plan:
sandcastle
```
buck2 test 'fbcode//mode/dev-nosan' fbcode//torchrec/inference/tests:test_single_gpu_executor -- --exact 'torchrec/inference/tests:test_single_gpu_executor - TorchDeployGPUTest.NestedModelSingleGPU'
buck2 test 'fbcode//mode/dev-nosan' fbcode//dper_lib/silvertorch/modules/dynamic_stats/tests:accumulators_test -- --exact 'dper_lib/silvertorch/modules/dynamic_stats/tests:accumulators_test - test_global_fixed_interval_accumulator (dper_lib.silvertorch.modules.dynamic_stats.tests.accumulators_test.GlobalFixedIntervalUnivalentAcculumatorTest)'
```
Also running a test flow with/without JK enabled
Differential Revision: D54275086
Pull Request resolved: https://github.com/pytorch/pytorch/pull/120915
Approved by: https://github.com/yanboliang
