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Dev #11

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merged 7 commits into from
Jun 4, 2022
Merged

Dev #11

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2af72f6
Merge pull request #2 from polixir/dev
xionghuichen May 8, 2022
f8aad62
update req
xionghuichen May 29, 2022
a9ffd2d
fix the tensorboard bug
yihaosun1124 Jun 3, 2022
eee1912
Merge pull request #3 from yihaosun1124/main
xionghuichen Jun 3, 2022
e41038d
Merge branch 'main' of github.com:polixir/RLAssistant into dev
xionghuichen Jun 3, 2022
2c5bbeb
Merge branch 'main' of https://github.com/xionghuichen/RLAssistant in…
xionghuichen Jun 3, 2022
7d2df4a
Merge branch 'dev' of github.com:polixir/RLAssistant into dev
xionghuichen Jun 3, 2022
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4 changes: 3 additions & 1 deletion README.md
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Expand Up @@ -242,7 +242,9 @@ PS:
2. An alternative way is building your own NFS for your physical machines and locate data_root to the NFS.

# TODO
- [ ] video visualization.
- [ ] support sftp-based sync.
- [ ] support custom data structure saving and loading.
- [ ] support video visualization.
- [ ] add comments and documents to the functions.
- [ ] add an auto integration script.
- [ ] download / upload experiment logs through timestamp.
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2 changes: 1 addition & 1 deletion RLA/easy_log/logger.py
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Expand Up @@ -688,7 +688,7 @@ def configure(dir=None, format_strs=None, comm=None, framework='tensorflow'):
if format_strs is None:
format_strs = os.getenv('OPENAI_LOG_FORMAT', 'stdout,log,csv').split(',')
format_strs = filter(None, format_strs)
output_formats = [make_output_format(f, dir, log_suffix) for f in format_strs]
output_formats = [make_output_format(f, dir, log_suffix, framework) for f in format_strs]
warn_output_formats = make_output_format('warn', dir, log_suffix, framework)
backup_output_formats = make_output_format('backup', dir, log_suffix, framework)

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2 changes: 1 addition & 1 deletion RLA/easy_log/tester.py
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Expand Up @@ -187,7 +187,7 @@ def _init_logger(self):
self.writer = None
# logger configure
logger.info("store file %s" % self.pkl_file)
logger.configure(self.log_dir, self.private_config["LOG_USED"])
logger.configure(self.log_dir, self.private_config["LOG_USED"], framework=self.private_config["DL_FRAMEWORK"])
for fmt in logger.Logger.CURRENT.output_formats:
if isinstance(fmt, logger.TensorBoardOutputFormat):
self.writer = fmt.writer
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