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Add ConsoleLogger.v2 (#11214)

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* Init

* Change logger to ConsoleLogger.v2

* adjust naming

* More naming adjustments

* Fix output_file reference error

* ignore type

* Add basic test for logger

* Hopefully fix mypy issue

* mypy ignore line

* Update mypy line

Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>

* Update test method name

Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>

* Change file saving logic

* Fix finalize method

* increase spacy-legacy version in requirements

* Update docs

* small adjustments

Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
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Edward 2022-08-29 10:23:05 +02:00 committed by GitHub
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6 changed files with 198 additions and 48 deletions
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2
requirements.txt
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@ -1,5 +1,5 @@
# Our libraries
spacy-legacy>=3.0.9,<3.1.0
spacy-legacy>=3.0.10,<3.1.0
spacy-loggers>=1.0.0,<2.0.0
cymem>=2.0.2,<2.1.0
preshed>=3.0.2,<3.1.0

2
setup.cfg
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@ -41,7 +41,7 @@ setup_requires =
thinc>=8.1.0,<8.2.0
install_requires =
# Our libraries
spacy-legacy>=3.0.9,<3.1.0
spacy-legacy>=3.0.10,<3.1.0
spacy-loggers>=1.0.0,<2.0.0
murmurhash>=0.28.0,<1.1.0
cymem>=2.0.2,<2.1.0

30
spacy/tests/training/test_logger.py Normal file
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@ -0,0 +1,30 @@
import pytest
import spacy
from spacy.training import loggers
@pytest.fixture()
def nlp():
nlp = spacy.blank("en")
nlp.add_pipe("ner")
return nlp
@pytest.fixture()
def info():
return {
"losses": {"ner": 100},
"other_scores": {"ENTS_F": 0.85, "ENTS_P": 0.90, "ENTS_R": 0.80},
"epoch": 100,
"step": 125,
"score": 85,
}
def test_console_logger(nlp, info):
console_logger = loggers.console_logger(
progress_bar=True, console_output=True, output_file=None
)
log_step, finalize = console_logger(nlp)
log_step(info)

74
spacy/training/loggers.py
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@ -1,10 +1,13 @@
from typing import TYPE_CHECKING, Dict, Any, Tuple, Callable, List, Optional, IO
from typing import TYPE_CHECKING, Dict, Any, Tuple, Callable, List, Optional, IO, Union
from wasabi import Printer
from pathlib import Path
import tqdm
import sys
import srsly
from ..util import registry
from ..errors import Errors
from .. import util
if TYPE_CHECKING:
from ..language import Language # noqa: F401
@ -23,13 +26,44 @@ def setup_table(
return final_cols, final_widths, ["r" for _ in final_widths]
@registry.loggers("spacy.ConsoleLogger.v1")
def console_logger(progress_bar: bool = False):
@registry.loggers("spacy.ConsoleLogger.v2")
def console_logger(
progress_bar: bool = False,
console_output: bool = True,
output_file: Optional[Union[str, Path]] = None,
):
"""The ConsoleLogger.v2 prints out training logs in the console and/or saves them to a jsonl file.
progress_bar (bool): Whether the logger should print the progress bar.
console_output (bool): Whether the logger should print the logs on the console.
output_file (Optional[Union[str, Path]]): The file to save the training logs to.
"""
_log_exist = False
if output_file:
output_file = util.ensure_path(output_file) # type: ignore
if output_file.exists(): # type: ignore
_log_exist = True
if not output_file.parents[0].exists(): # type: ignore
output_file.parents[0].mkdir(parents=True) # type: ignore
def setup_printer(
nlp: "Language", stdout: IO = sys.stdout, stderr: IO = sys.stderr
) -> Tuple[Callable[[Optional[Dict[str, Any]]], None], Callable[[], None]]:
write = lambda text: print(text, file=stdout, flush=True)
msg = Printer(no_print=True)
nonlocal output_file
output_stream = None
if _log_exist:
write(
msg.warn(
f"Saving logs is disabled because {output_file} already exists."
)
)
output_file = None
elif output_file:
write(msg.info(f"Saving results to {output_file}"))
output_stream = open(output_file, "w", encoding="utf-8")
# ensure that only trainable components are logged
logged_pipes = [
name
@ -40,6 +74,8 @@ def console_logger(progress_bar: bool = False):
score_weights = nlp.config["training"]["score_weights"]
score_cols = [col for col, value in score_weights.items() if value is not None]
loss_cols = [f"Loss {pipe}" for pipe in logged_pipes]
if console_output:
spacing = 2
table_header, table_widths, table_aligns = setup_table(
cols=["E", "#"] + loss_cols + score_cols + ["Score"],
@ -57,12 +93,15 @@ def console_logger(progress_bar: bool = False):
if progress is not None:
progress.update(1)
return
losses = [
"{0:.2f}".format(float(info["losses"][pipe_name]))
for pipe_name in logged_pipes
]
losses = []
log_losses = {}
for pipe_name in logged_pipes:
losses.append("{0:.2f}".format(float(info["losses"][pipe_name])))
log_losses[pipe_name] = float(info["losses"][pipe_name])
scores = []
log_scores = {}
for col in score_cols:
score = info["other_scores"].get(col, 0.0)
try:
@ -73,6 +112,7 @@ def console_logger(progress_bar: bool = False):
if col != "speed":
score *= 100
scores.append("{0:.2f}".format(score))
log_scores[str(col)] = score
data = (
[info["epoch"], info["step"]]
@ -80,10 +120,25 @@ def console_logger(progress_bar: bool = False):
+ scores
+ ["{0:.2f}".format(float(info["score"]))]
)
if output_stream:
# Write to log file per log_step
log_data = {
"epoch": info["epoch"],
"step": info["step"],
"losses": log_losses,
"scores": log_scores,
"score": float(info["score"]),
}
output_stream.write(srsly.json_dumps(log_data) + "\n")
if progress is not None:
progress.close()
if console_output:
write(
msg.row(data, widths=table_widths, aligns=table_aligns, spacing=spacing)
msg.row(
data, widths=table_widths, aligns=table_aligns, spacing=spacing
)
)
if progress_bar:
# Set disable=None, so that it disables on non-TTY
@ -93,7 +148,8 @@ def console_logger(progress_bar: bool = False):
progress.set_description(f"Epoch {info['epoch']+1}")
def finalize() -> None:
pass
if output_stream:
output_stream.close()
return log_step, finalize

53
website/docs/api/legacy.md
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@ -248,6 +248,59 @@ added to an existing vectors table. See more details in
## Loggers {#loggers}
These functions are available from `@spacy.registry.loggers`.
### spacy.ConsoleLogger.v1 {#ConsoleLogger_v1}
> #### Example config
>
> ```ini
> [training.logger]
> @loggers = "spacy.ConsoleLogger.v1"
> progress_bar = true
> ```
Writes the results of a training step to the console in a tabular format.
<Accordion title="Example console output" spaced>
```cli
$ python -m spacy train config.cfg
```
```
ℹ Using CPU
ℹ Loading config and nlp from: config.cfg
ℹ Pipeline: ['tok2vec', 'tagger']
ℹ Start training
ℹ Training. Initial learn rate: 0.0
E # LOSS TOK2VEC LOSS TAGGER TAG_ACC SCORE
--- ------ ------------ ----------- ------- ------
0 0 0.00 86.20 0.22 0.00
0 200 3.08 18968.78 34.00 0.34
0 400 31.81 22539.06 33.64 0.34
0 600 92.13 22794.91 43.80 0.44
0 800 183.62 21541.39 56.05 0.56
0 1000 352.49 25461.82 65.15 0.65
0 1200 422.87 23708.82 71.84 0.72
0 1400 601.92 24994.79 76.57 0.77
0 1600 662.57 22268.02 80.20 0.80
0 1800 1101.50 28413.77 82.56 0.83
0 2000 1253.43 28736.36 85.00 0.85
0 2200 1411.02 28237.53 87.42 0.87
0 2400 1605.35 28439.95 88.70 0.89
```
Note that the cumulative loss keeps increasing within one epoch, but should
start decreasing across epochs.
</Accordion>
| Name | Description |
| -------------- | --------------------------------------------------------- |
| `progress_bar` | Whether the logger should print the progress bar ~~bool~~ |
Logging utilities for spaCy are implemented in the
[`spacy-loggers`](https://github.com/explosion/spacy-loggers) repo, and the
functions are typically available from `@spacy.registry.loggers`.

57
website/docs/api/top-level.md
View File

@ -275,8 +275,8 @@ Render a dependency parse tree or named entity visualization.
### displacy.parse_deps {#displacy.parse_deps tag="method" new="2"}
Generate dependency parse in `{'words': [], 'arcs': []}` format.
For use with the `manual=True` argument in `displacy.render`.
Generate dependency parse in `{'words': [], 'arcs': []}` format. For use with
the `manual=True` argument in `displacy.render`.
> #### Example
>
@ -297,8 +297,8 @@ For use with the `manual=True` argument in `displacy.render`.
### displacy.parse_ents {#displacy.parse_ents tag="method" new="2"}
Generate named entities in `[{start: i, end: i, label: 'label'}]` format.
For use with the `manual=True` argument in `displacy.render`.
Generate named entities in `[{start: i, end: i, label: 'label'}]` format. For
use with the `manual=True` argument in `displacy.render`.
> #### Example
>
@ -319,8 +319,8 @@ For use with the `manual=True` argument in `displacy.render`.
### displacy.parse_spans {#displacy.parse_spans tag="method" new="2"}
Generate spans in `[{start_token: i, end_token: i, label: 'label'}]` format.
For use with the `manual=True` argument in `displacy.render`.
Generate spans in `[{start_token: i, end_token: i, label: 'label'}]` format. For
use with the `manual=True` argument in `displacy.render`.
> #### Example
>
@ -505,7 +505,7 @@ finished. To log each training step, a
and the accuracy scores on the development set.
The built-in, default logger is the ConsoleLogger, which prints results to the
console in tabular format. The
console in tabular format and saves them to a `jsonl` file. The
[spacy-loggers](https://github.com/explosion/spacy-loggers) package, included as
a dependency of spaCy, enables other loggers, such as one that sends results to
a [Weights & Biases](https://www.wandb.com/) dashboard.
@ -513,16 +513,20 @@ a [Weights & Biases](https://www.wandb.com/) dashboard.
Instead of using one of the built-in loggers, you can
[implement your own](/usage/training#custom-logging).
#### spacy.ConsoleLogger.v1 {#ConsoleLogger tag="registered function"}
#### spacy.ConsoleLogger.v2 {#ConsoleLogger tag="registered function"}
> #### Example config
>
> ```ini
> [training.logger]
> @loggers = "spacy.ConsoleLogger.v1"
> @loggers = "spacy.ConsoleLogger.v2"
> progress_bar = true
> console_output = true
> output_file = "training_log.jsonl"
> ```
Writes the results of a training step to the console in a tabular format.
Writes the results of a training step to the console in a tabular format and
saves them to a `jsonl` file.
<Accordion title="Example console output" spaced>
@ -536,22 +540,23 @@ $ python -m spacy train config.cfg
ℹ Pipeline: ['tok2vec', 'tagger']
ℹ Start training
ℹ Training. Initial learn rate: 0.0
ℹ Saving results to training_log.jsonl
E # LOSS TOK2VEC LOSS TAGGER TAG_ACC SCORE
--- ------ ------------ ----------- ------- ------
1 0 0.00 86.20 0.22 0.00
1 200 3.08 18968.78 34.00 0.34
1 400 31.81 22539.06 33.64 0.34
1 600 92.13 22794.91 43.80 0.44
1 800 183.62 21541.39 56.05 0.56
1 1000 352.49 25461.82 65.15 0.65
1 1200 422.87 23708.82 71.84 0.72
1 1400 601.92 24994.79 76.57 0.77
1 1600 662.57 22268.02 80.20 0.80
1 1800 1101.50 28413.77 82.56 0.83
1 2000 1253.43 28736.36 85.00 0.85
1 2200 1411.02 28237.53 87.42 0.87
1 2400 1605.35 28439.95 88.70 0.89
0 0 0.00 86.20 0.22 0.00
0 200 3.08 18968.78 34.00 0.34
0 400 31.81 22539.06 33.64 0.34
0 600 92.13 22794.91 43.80 0.44
0 800 183.62 21541.39 56.05 0.56
0 1000 352.49 25461.82 65.15 0.65
0 1200 422.87 23708.82 71.84 0.72
0 1400 601.92 24994.79 76.57 0.77
0 1600 662.57 22268.02 80.20 0.80
0 1800 1101.50 28413.77 82.56 0.83
0 2000 1253.43 28736.36 85.00 0.85
0 2200 1411.02 28237.53 87.42 0.87
0 2400 1605.35 28439.95 88.70 0.89
```
Note that the cumulative loss keeps increasing within one epoch, but should
@ -559,6 +564,12 @@ start decreasing across epochs.
</Accordion>
| Name | Description |
| ---------------- | --------------------------------------------------------------------- |
| `progress_bar` | Whether the logger should print the progress bar ~~bool~~ |
| `console_output` | Whether the logger should print the logs on the console. ~~bool~~ |
| `output_file` | The file to save the training logs to. ~~Optional[Union[str, Path]]~~ |
## Readers {#readers}
### File readers {#file-readers source="github.com/explosion/srsly" new="3"}