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Updating documentation after demo session this morning. #117

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merged 1 commit into from
Nov 13, 2024

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Updating the "train a model" demo notebook, adding it to the documentation.

@drewoldag drewoldag self-assigned this Nov 12, 2024
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@mtauraso mtauraso left a comment

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LGTM

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codecov bot commented Nov 12, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 40.65%. Comparing base (e666dbe) to head (1731443).
Report is 1 commits behind head on main.

Additional details and impacted files
@@           Coverage Diff           @@
##             main     #117   +/-   ##
=======================================
  Coverage   40.65%   40.65%           
=======================================
  Files          19       19           
  Lines        1075     1075           
=======================================
  Hits          437      437           
  Misses        638      638           

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Before [e666dbe] After [7d6851e] Ratio Benchmark (Parameter)
2.66±1s 2.47±0.8s 0.93 benchmarks.time_computation
4.07k 1.54k 0.38 benchmarks.mem_list

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@drewoldag drewoldag merged commit 4d878a9 into main Nov 13, 2024
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@drewoldag drewoldag deleted the awo/update-demo-notebooks branch November 13, 2024 20:13
drewoldag added a commit that referenced this pull request Dec 4, 2024
* WIP - First attempt using pytorch-ignite built in tensorboard handler.

* Updating the "train a model" demo notebook, adding it to the documentation. (#117)

* Adding a couple more output handlers for tensorboard.

* Fewer tensorboard metrics for now, adding validation-at-each-epoch to training process.

* Added GPU monitor, removed all pytorch-ignite references from `train.py`. Replaced pytorch-ignite tensorboard writer with tensorboardX.

* Setting model to .eval when validation starts, and .train when validation ends.

* Moving train/validate/test_size keys and comments into the data_set table.

* Fixing precommit failure.

* Augmenting HSCDataSet so that it behaves similar to the example CiFAR dataset. i.e. exposes a `train_sampler` and `validation_sampler`.
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2 participants