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Saving hyperparams in yaml file for Tensorboard for #521 #657

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merged 7 commits into from
Aug 29, 2022
Merged

Saving hyperparams in yaml file for Tensorboard for #521 #657

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c401f0b
Saving hyperparams in yaml file for Tensorboard
Shreyz-max Aug 24, 2022
ec651e0
Saving yaml file in logging dir
Shreyz-max Aug 24, 2022
34cc47a
Changing hardcoded path
Shreyz-max Aug 24, 2022
d296572
Adding try/catch, cleaning path name
Shreyz-max Aug 25, 2022
2371a48
Raise error
Shreyz-max Aug 25, 2022
970dac0
Updating path name
Shreyz-max Aug 25, 2022
2c2bd2d
Path create
Shreyz-max Aug 25, 2022
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17 changes: 15 additions & 2 deletions src/accelerate/tracking.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,9 +16,12 @@
# Provide a project dir name, then each type of logger gets stored in project/{`logging_dir`}

import os
import time
from abc import ABCMeta, abstractmethod, abstractproperty
from typing import List, Optional, Union

import yaml

from .logging import get_logger
from .utils import LoggerType, is_comet_ml_available, is_tensorboard_available, is_wandb_available

Expand Down Expand Up @@ -142,7 +145,8 @@ def tracker(self):

def store_init_configuration(self, values: dict):
"""
Logs `values` as hyperparameters for the run. Should be run at the beginning of your experiment.
Logs `values` as hyperparameters for the run. Should be run at the beginning of your experiment. Stores the
hyperparameters in a yaml file for future use.

Args:
values (Dictionary `str` to `bool`, `str`, `float` or `int`):
Expand All @@ -151,7 +155,16 @@ def store_init_configuration(self, values: dict):
"""
self.writer.add_hparams(values, metric_dict={})
self.writer.flush()
logger.info("Stored initial configuration hyperparameters to TensorBoard")
project_run_name = time.time()
dir_name = os.path.join(self.logging_dir, str(project_run_name))
os.makedirs(dir_name, exist_ok=True)
with open(os.path.join(dir_name, "hparams.yml"), "w") as outfile:
try:
yaml.dump(values, outfile)
except yaml.representer.RepresenterError:
logger.error("Serialization to store hyperparameters failed")
raise
logger.info("Stored initial configuration hyperparameters to TensorBoard and hparams yaml file")

def log(self, values: dict, step: Optional[int] = None, **kwargs):
"""
Expand Down