final sacred
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54cd87708b
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Jenkinsfile
vendored
5
Jenkinsfile
vendored
@ -32,4 +32,9 @@ pipeline {
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}
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}
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}
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}
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}
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}
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post {
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success {
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build job: 's434766-training/master', parameters: [string(name: 'BATCH_SIZE', value:'16'), string(name: 'EPOCHS', value:'5') ]
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}
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}
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}
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}
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@ -43,6 +43,7 @@ pipeline {
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}
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}
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post {
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post {
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success {
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success {
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build job: 's434766-evaluation/master'
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mail body: 'SUCCESS TRAINING', subject: 's434766', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
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mail body: 'SUCCESS TRAINING', subject: 's434766', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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@ -72,7 +72,7 @@ def train(num_epochs, batch_size, learning_rate, _log):
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info_loss = "Last loss = " + str(loss.item())
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info_loss = "Last loss = " + str(loss.item())
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_log.info(info_loss)
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_log.info(info_loss)
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y_pred = model(fTest)
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y_pred = model(fTest)
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print("predicted Y value: ", y_pred.data)
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# print("predicted Y value: ", y_pred.data)
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torch.save(model.state_dict(), 'stroke.pth')
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torch.save(model.state_dict(), 'stroke.pth')
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@ -73,7 +73,7 @@ def train(num_epochs, batch_size, learning_rate, _log):
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info_loss = "Last loss = " + str(loss.item())
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info_loss = "Last loss = " + str(loss.item())
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_log.info(info_loss)
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_log.info(info_loss)
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y_pred = model(fTest)
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y_pred = model(fTest)
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print("predicted Y value: ", y_pred.data)
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# print("predicted Y value: ", y_pred.data)
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torch.save(model.state_dict(), 'stroke.pth')
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torch.save(model.state_dict(), 'stroke.pth')
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