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model.py
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Author
2021-03-02
Merge branch 'master' into data_parallel
Jordan Gong
2021-03-02
Fix DataParallel specific bugs
Jordan Gong
2021-03-02
Record learning rate every step
Jordan Gong
2021-03-02
Fix bugs in new scheduler
Jordan Gong
2021-03-01
Bug fixes
Jordan Gong
2021-03-01
Merge branch 'master' into data_parallel
Jordan Gong
2021-03-01
New scheduler and new config
Jordan Gong
2021-03-01
Move pairs variable to local
Jordan Gong
2021-02-28
Implement sum of loss default in [1]
Jordan Gong
2021-02-28
Log n-ile embedding distance and norm
Jordan Gong
2021-02-27
Implement Batch Hard triplet loss and soft margin
Jordan Gong
2021-02-26
Merge branch 'master' into data_parallel
Jordan Gong
2021-02-26
Fix predict function
Jordan Gong
2021-02-20
Separate triplet loss from model
Jordan Gong
2021-02-20
Merge branch 'master' into data_parallel
Jordan Gong
2021-02-20
Separate triplet loss from model
Jordan Gong
2021-02-19
Correct cross reconstruction loss calculated in DataParallel
Jordan Gong
2021-02-19
Merge branch 'master' into data_parallel
Jordan Gong
2021-02-19
Allow evaluate unfinished model
Jordan Gong
2021-02-18
Merge branch 'master' into data_parallel
Jordan Gong
2021-02-18
Implement adjustable input size and change some default configs
Jordan Gong
2021-02-18
Decode mean appearance feature
Jordan Gong
2021-02-16
Merge branch 'master' into data_parallel
Jordan Gong
2021-02-16
Split transform and evaluate method
Jordan Gong
2021-02-15
Add DataParallel support on new codebase
Jordan Gong
2021-02-15
Revert "Memory usage improvement"
Jordan Gong
2021-02-14
Memory usage improvement
Jordan Gong
2021-02-14
Prepare for DataParallel
Jordan Gong
2021-02-10
Save scheduler state_dict
Jordan Gong
2021-02-09
Improve performance when disentangling
Jordan Gong
2021-02-09
Some optimizations
Jordan Gong
2021-02-08
Code refactoring, modifications and new features
Jordan Gong
2021-01-23
Remove the third term in canonical consistency loss
Jordan Gong
2021-01-23
Add late start support for non-disentangling parts
Jordan Gong
2021-01-23
Evaluation bug fixes and code review
Jordan Gong
2021-01-22
Handle unexpected restore iter
Jordan Gong
2021-01-21
Print average losses after 100 iters
Jordan Gong
2021-01-14
Enable optimizer fine tuning
Jordan Gong
2021-01-14
Remove DataParallel
Jordan Gong
2021-01-13
Update config file and convert int to str when joining
Jordan Gong
2021-01-13
Add multiple checkpoints for different model and set default config value
Jordan Gong
2021-01-12
Move the model to GPU before constructing optimizer
Jordan Gong
2021-01-12
Some changes in hyperparameter config
Jordan Gong
2021-01-12
Some type hint fixes
Jordan Gong
2021-01-12
Typo correct in evaluate function
Jordan Gong
2021-01-11
Add evaluation script, code review and fix some bugs
Jordan Gong
2021-01-11
Implement evaluator
Jordan Gong
2021-01-10
Make predict function transform samples different conditions in a single shot
Jordan Gong
2021-01-09
Add prototype predict function
Jordan Gong
2021-01-07
Train different models in different conditions
Jordan Gong
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