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SemanticSegmentationTask MisconfigurationException

See original GitHub issue

Hi my dataloader does not have validation split while i am running code it’s giving the error

model =SemanticSegmentationTask(
    segmentation_model="fcn",
    encoder_name="resnet18",
    encoder_weights="imagenet",
    in_channels=9,
    num_classes=2,
    num_filters=128,
    loss="ce",
    ignore_zeros=True,
    learning_rate=0.1,
    learning_rate_schedule_patience=0.05,
    
)

trainer = pl.Trainer(
                  gpus=1,
                  callbacks=[checkpoint_callback, early_stopping_callback],
                  logger=[csv_logger],
                  max_epochs=10,
                  precision=32,
                  log_every_n_steps=0.01,
                  max_steps=4,
               )

trainer.fit(model,dl)

Screenshot (1432)

Issue Analytics

State:
Created a year ago
Comments:5

Top GitHub Comments

1reaction

kethan52commented, May 3, 2022

Thank you soo much

1reaction

isaaccorleycommented, May 2, 2022

The Segmentation trainer is currently set to monitor “val_loss” which requires that you have a validation dataloader in your lightning data module. You can either add a validation dataloader or subclass the trainer and override the configure_optimizers method to monitor “train_loss”.

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