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@ -24,7 +24,8 @@ stages {
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archiveArtifacts artifacts: 'pytorch/result.txt',
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allowEmptyArchive: true
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dir('my_runs') {
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archiveArtifacts artifacts: '**/*.pth'
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//archiveArtifacts artifacts: '**/*.pth'
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archiveArtifacts artifacts: '**/**'
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}
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}
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@ -156,7 +156,7 @@ def evaluate(model, val_loader):
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return model.validation_epoch_end(outputs)
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@ex.capture
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def fit(epochs, lr, model, train_loader, val_loader, _log, opt_func=torch.optim.SGD):
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def fit(epochs, lr, model, train_loader, val_loader, _log, _run, opt_func=torch.optim.SGD):
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_log.info("log info test ")
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epochs=epochs
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history = []
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@ -174,6 +174,8 @@ def fit(epochs, lr, model, train_loader, val_loader, _log, opt_func=torch.optim.
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torch.save(model, 'saved_model.pth')
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ex.add_artifact("saved_model.pth")
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_run.info["epochs"] = epochs
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return history
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