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Revert "Auto3DSeg skip trained algos" #6295
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This reverts commit fa05609.
mingxin-zheng
approved these changes
Apr 5, 2023
Signed-off-by: Wenqi Li <[email protected]>
/build |
Signed-off-by: Wenqi Li <[email protected]>
Signed-off-by: Wenqi Li <[email protected]>
Signed-off-by: Wenqi Li <[email protected]>
Signed-off-by: Wenqi Li <[email protected]>
Signed-off-by: Wenqi Li <[email protected]>
Signed-off-by: Wenqi Li <[email protected]>
Signed-off-by: Wenqi Li <[email protected]>
Signed-off-by: Wenqi Li <[email protected]>
Signed-off-by: Wenqi Li <[email protected]>
Signed-off-by: Wenqi Li <[email protected]>
Signed-off-by: Wenqi Li <[email protected]>
for more information, see https://pre-commit.ci
/build |
okay, let's revert for now, and I'll make another pr |
myron
approved these changes
Apr 5, 2023
Signed-off-by: Wenqi Li <[email protected]>
Fixes set_device issue and disclaimer - Project-MONAI/research-contributions#216 - Project-MONAI/research-contributions#212 ### Description A few sentences describing the changes proposed in this pull request. ### Types of changes <!--- Put an `x` in all the boxes that apply, and remove the not applicable items --> - [x] Non-breaking change (fix or new feature that would not break existing functionality). Signed-off-by: Mingxin Zheng <[email protected]>
/build |
wyli
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that referenced
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Apr 6, 2023
Second PR for issue #6291 Since the previous PR #6290 was reverted #6295 Allows to skip the already trained algos, and continue training only for the non-trained ones. after this PR, the default option AutoRunner(train=None) will have this behavior, whereas manually setting AutoRunner(train=True/False) will always train all or skip all training. Previously we can only train all or skip all (without any option to resume) I changed import_bundle_algo_history() to return a better algo_dict previously it returned "list[dict(name: algo)]" - a list of dict, but each dict must have a single key name "name => algo". Not it returns a list of dicts, each with several keys dict(AlgoEnsembleKeys.ID: name, AlgoEnsembleKeys.ALGO, algo, "is_trained": bool, etc). this allows to put additional metadata inside of each algo_dict, and it's easier to read it back. previously, to get a name we had to use "name = history[0].keys()[0]", now it's more elegant "name = history[0][AlgoEnsembleKeys.ID]". this however required to change many files, everywhere where import_bundle_algo_history and export_bundle_algo_history was used. All the tests have passed, except for "integration GPU utilization tests" , but those errors seems unrelated After this PR, tutorials need to be updated too Project-MONAI/tutorials#1288 --------- Signed-off-by: myron <[email protected]>
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Reverts #6290
fixes #6294
this commit is not compatible with the integration tests