Commit Graph

3 Commits

Author SHA1 Message Date
Mikhail Zolotukhin
edb376eceb Cleanup includes in torch/csrc/jit/script/* (#19921)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/19921
ghimport-source-id: 12a4553a4a081e8a41f4ed432b4ce3dc14e4699f

Differential Revision: D15125017

Pulled By: ZolotukhinM

fbshipit-source-id: f7285bd1e0745dadb9cd353a5fa8a09728012a59
2019-05-06 13:24:22 -07:00
Karl Ostmo
8f0603b128 C++ changes toward libtorch and libcaffe2 unification (#19554)
Summary:
* adds TORCH_API and AT_CUDA_API in places
* refactor code generation Python logic to separate
  caffe2/torch outputs
* fix hip and asan
* remove profiler_cuda from hip
* fix gcc warnings for enums
* Fix PythonOp::Kind
Pull Request resolved: https://github.com/pytorch/pytorch/pull/19554

Differential Revision: D15082727

Pulled By: kostmo

fbshipit-source-id: 83a8a99717f025ab44b29608848928d76b3147a4
2019-04-26 01:38:10 -07:00
James Reed
85f36014e2 Experimental logging/counters API (#18235)
Summary:
This defines a generic counters API that users can utilize to provide monitoring functionality in e.g. a production service. We expose both counters for runtime internals as well as a TorchScript API to create user-defined counters. Synopsis of the API:

- `torch/csrc/jit/script/logging.h` specifies the externally-facing API in C++
- `torch/jit/_logging.py` specifies the Python API

We use an interface, `LoggerBase`, to define the interactions between users and a logging backend. Implementing a subclass of `LoggerBase` allows the user to handle these events in a custom way, such as logging into a DB or calling into an infra-specific counters API.

From the frontend perspective, we can create log events in two ways:
1. We provide an `add_stat_value(name, val)` function. This calls into the Logger backend with a key/value pair. For example, we might call `add_stat_value('foo', 1)` to bump an event counter.
2. We provide a `time_point()` function to record a timestamp in nanoseconds. This can be used in conjunction with `add_stat_value` to record runtime wall clock durations.

Examples of frontend usage can be found in `test_jit.py TestLogging`.

We provide a trivial `LockingLogger` implementation as an example and for testing purposes. It is likely not ready for production usage. It demonstrates that a backend implementing the API can do things like specify aggregation types and report these aggregate stats via the `get_counters()` API.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/18235

Differential Revision: D14545060

Pulled By: jamesr66a

fbshipit-source-id: 04099543a1898cfdd411511e46e03d5dce9b4881
2019-03-29 17:14:03 -07:00