Skip to content

Commit

Permalink
rfcs: add proposal for verbose logging support
Browse files Browse the repository at this point in the history
  • Loading branch information
avmanerikar committed Jun 27, 2024
1 parent b316f50 commit 7d2c271
Showing 1 changed file with 87 additions and 0 deletions.
87 changes: 87 additions & 0 deletions rfcs/20240311-verbose-logging-support/README.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,87 @@
# Proposal for a Logging Mechanism in oneDNN

## Motivation

This is a proposal to introduce a logging mechanism within the oneDNN framework to direct, save and manage the verbose outputs generated from oneDNN into user-specified logs.
Presently, oneDNN in the verbose mode prints all information directly to the console using `stdout` - with a logging mechanism, the user will be able to create custom logs by controlling what and how verbose information is saved in the user-specified logfiles.

## Objectives
The logging mechanism will be introduced in oneDNN with the following features:
- deploy logging support as an experimental feature enabled by setting EXPERIMENTAL_LOGGER=ON.
- add runtime control variables to specify logging options like logfile path and logging levels.
- implement formatting specifications for verbose outputs printed to the log files.

## Proposal
The proposal is to implement logging support in oneDNN with the help of [`spdlog`]((https://github.com/gabime/spdlog)), a header-only C++ logging library which provides a Python-like formatting API using the bundled [fmt](https://github.com/fmtlib/fmt) lib. The library uses an MIT license, has no cross-component dependencies and has a distinct performance [gain](https://github.com/gabime/spdlog/tree/v1.x?tab=readme-ov-file#benchmarks) over `sprintf` for logging. Key considerations for the proposal are listed as follows:

### 1. Build-time Variables - DNNL_EXPERIMENTAL_LOGGING
`spdlog` can be built with oneDNN using a header-only approach by adding the library headers to the build tree. A pre-compiled version is recommended by the authors to reduce compilation overhead but is not required since the implementation will utilize only limited features from the entire scope of `spdlog`.

Logging options in oneDNN will be enabled as an experimental feature by setting the variable EXPERIMENTAL_LOGGER=ON during build-time. This will also take an header-based apporach by building the fmtlib library and spdlog headers into the code to enable the logger mechanism.

### 2. Runtime Logging Controls - DNNL_LOGFILE, DNNL_LOGFILE_SIZE, DNNL_LOGFILE_AMT
A basic requirement for implementing logging support will be to define the run-time variables which the user can specify to manage oneDNN data logging:
- For the simple case where the logging mechanism involves directly dumping the verbose outputs into a logfile, this can be accomplished with one control variable for specifying the logfile path (`DNNL_LOGFILE=/path/to/file`).
Specifying `DNNL_LOGFILE` automatically enables logging of the verbose output to the user-specified file while in the default case, the data is directly printed to `stdout`.
In this scenario, the data recorded in the logfile mirrors the printed verbose mode information, hence, the logged data can be managed using oneDNN [runtime controls](https://oneapi-src.github.io/oneDNN/dev_guide_verbose.html?highlight=onednn_verbose#run-time-controls) for the verbose mode.
- By default, data will be recorded using a rotating lazy logger with a file size specified by `ONEDNN_LOGFILE_SIZE(=1024*1024)` and the number of rotatiing files specified by DNNL_LOGFILE_AMT(=5).

### 3. Alignment and Specification of Logging Levels
`spdlog` defines the following levels for data logging in its implementation:
```
#define SPDLOG_LEVEL_TRACE 0
#define SPDLOG_LEVEL_DEBUG 1
#define SPDLOG_LEVEL_INFO 2
#define SPDLOG_LEVEL_WARN 3
#define SPDLOG_LEVEL_ERROR 4
#define SPDLOG_LEVEL_CRITICAL 5
#define SPDLOG_LEVEL_OFF 6
```

The type of tracing information logged for each of these levels is evident from their names. Comparing with the different [verbose modes](https://oneapi-src.github.io/oneDNN/dev_guide_verbose.html?highlight=onednn_verbose#run-time-controls) defined for oneDNN, these logging levels can be aligned with the verbose modes as follows:

| | `spdlog` Level | oneDNN Verbose Mode |
|---|-----------------------|------------------------------------------------------------------|
| 0 | SPDLOG_LEVEL_TRACE | `all` |
| 1 | SPDLOG_LEVEL_DEBUG | `dispatch`, `debuginfo=<level>`, `check` |
| 2 | SPDLOG_LEVEL_INFO | `profile_create`, `profile_exec`, `profile` |
| 3 | SPDLOG_LEVEL_WARNING | --- |
| 4 | SPDLOG_LEVEL_ERROR | `error` |
| 5 | SPDLOG_LEVEL_CRITICAL | - |
| 6 | SPDLOG_LEVEL_OFF | `none` |

With this alignment, the tracing information printed out for each verbose mode can be also logged at the aligned level. Obviously, the logging level here is determined from the value of the `ONEDNN_VERBOSE` variable.
To exercise better control over the logged data, it is recommended to introduce another variable `ONEDNN_LOG_VERBOSE` which specifies the verbose mode for the logged data and also additionally allows the user to use the [`filter`]((https://oneapi-src.github.io/oneDNN/dev_guide_verbose.html?highlight=onednn_verbose#run-time-controls)) option for the verbose mode to filter the information being logged for supported components and primitives.

### 4. Formatting Specifications for Logging
The printed verbose information when ONEDNN_VERBOSE=all is formatted and contains the following fields as described [here](https://oneapi-src.github.io/oneDNN/dev_guide_verbose.html#decrypting-the-output):
```
onednn_verbose,primitive,info,template:timestamp,operation,engine,primitive,implementation,prop_kind,memory_descriptors,attributes,auxiliary,problem_desc,exec_time
onednn_verbose,graph,info,template:timestamp,operation,engine,partition_id,partition_kind,op_names,data_formats,logical_tensors,fpmath_mode,backend,exec_time
onednn_verbose,1693533460193.346924,primitive,create:cache_miss,cpu,convolution,jit:avx512_core,forward_training,src_f32:a:blocked:aBcd16b::f0 wei_f32:a:blocked:ABcd16b16a::f0 bia_f32:a:blocked:a::f0 dst_f32:a:blocked:aBcd16b::f0,,alg:convolution_direct,mb2_ic16oc16_ih7oh7kh5sh1dh0ph2_iw7ow7kw5sw1dw0pw2,0.709961
```

When logging is enabled, the data will be recorded in the logfiles with the same format and field albeit with a few updates:
- ONEDNN_VERBOSE_TIMESTAMP will be enabled for the logger and will be displayed in the logfile in the format `[%Y-%M-%D %H:%M:%S]`.
- The logger name will be set to `onednn`, the log levels will correspond to the verbose mode and the logger module will reflect the oneDNN component:

```
[%Y-%M-%D %H:%M:%S][onednn][log_level][component] verbose field 0,verbose field 1, ...
```

#### Example Log:
```
[2024-04-09 18:27:11.560] [onednn] [info] [header] oneDNN v3.5.0 (commit 3aa8b2827b37819400fb552b5ea065102f481ec6)
[2024-04-09 18:27:11.560] [onednn] [info] [header] cpu,runtime:OpenMP,nthr:224
...
[2024-04-09 18:27:11.586] [onednn] [error] Error: Function 'init_md' at (./tests/benchdnn/dnnl_memory.cpp:490) returned 'invalid_arguments'
```


## References

- **spdlog**: https://github.com/gabime/spdlog
- **fmt** lib: https://github.com/fmtlib/fmt

#
(EOD)

0 comments on commit 7d2c271

Please sign in to comment.