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2 commits

Author SHA1 Message Date
Hariom Narang
2828ce53fd Added jit log stream changing function and some refactor (#65768)
Summary:
Description:
- Have only added `stdout` and `stderr` as possible options from python
  API for now. We can do file path passing later maybe.
- Put the class `JitLoggingConfig` in the cpp file as none of its methods were being used outside of this file.

Python API:
`torch._C._jit_set_logging_stream('stdout|stderr')`
C++ API:
`::torch::jit::set_jit_logging_output_stream(ostream);`

Testing:
- Tested python API locally.
- Unit test for the C++ API is written

Fixes https://github.com/pytorch/pytorch/issues/54182

Pull Request resolved: https://github.com/pytorch/pytorch/pull/65768

Reviewed By: mrshenli

Differential Revision: D31291739

Pulled By: ZolotukhinM

fbshipit-source-id: eee72edc20488efad78a01c5b0ed8a132886a08d
2021-09-30 23:25:11 -07:00
Hariom Narang
9d1d799034 Added API to change logging levels for JIT (#58821)
Summary:
Description:
- Before this, logging level could only be changed by changing the env
variable "PYTORCH_JIT_LOG_LEVEL"
    - Can change the level from python now
- Have not added stream configuration for now
- Configuration is stored in a singleton class managing the options

Issue Link: https://github.com/pytorch/pytorch/issues/54188

Gotchas:
- Created separate functions
`::torch::jit::get_jit_logging_levels/set_jit_logging_levels` instead of
using the singleton class's method directly
    - This is because when running test cases, two different instances
    of the singleton are created for the test suite and the actual code
    (`jit_log.cpp`)
    - On using these methods directly, `is_enabled` calls the singleton
    in `jit_log.cpp` while we are setting the config using another
    singleton
    - See: https://stackoverflow.com/questions/55467246/my-singleton-can-be-called-multiple-times

API:
- To set the level: `torch._C._jit_set_logging_option("level")`
- To get the level: `torch._C._jit_get_logging_option()`

Testing:
- UTs were added for C++
- A very simple UT was added for python to just check if the API is
being called correctly
- The API was checked by running trace in a sample python file
    - Set env variable to "" and used `_jit_set_logging_option` in python to set the variable to `>dead_code_elimination`
    - The error output had logs of form [DUMP..] [UPDATE...] etc

Fixes https://github.com/pytorch/pytorch/issues/54188

Pull Request resolved: https://github.com/pytorch/pytorch/pull/58821

Reviewed By: soulitzer

Differential Revision: D29116712

Pulled By: ZolotukhinM

fbshipit-source-id: 8f2861ee2bd567fb63b405953d035ca657a3200f
2021-06-21 16:10:49 -07:00