AUROC error while running classification of pathology images

[sylwiamm]

Describe the bug

A clear and concise description of what the bug is.
Metrics error while running pathology classification on the cluster.

To Reproduce

Steps to reproduce the behavior:

1. Use the data 'TIL classification'
2. Run 'Classification, model VGG16'
3. See error (it would be helpful to include the error message and stack trace)

ERROR: Traceback (most recent call last):
  File "GaNDLF/gandlf_run", line 126, in <module>
    main_run(
  File "GaNDLF/GANDLF/cli/main_run.py", line 103, in main_run
    TrainingManager_split(
  File "GaNDLF/GANDLF/training_manager.py", line 348, in TrainingManager_split
    training_loop(
  File "GaNDLF/GANDLF/compute/training_loop.py", line 346, in training_loop
    overall_metrics = overall_stats(
  File "GaNDLF/GANDLF/metrics/__init__.py", line 120, in overall_stats
    return classification.overall_stats(predictions, ground_truth, params)
  File "GaNDLF/GANDLF/metrics/classification.py", line 77, in overall_stats
    output_metrics[metric_name] = get_output_from_calculator(
  File "GaNDLF/GANDLF/utils/tensor.py", line 540, in get_output_from_calculator
    temp_output = calculator(prediction, target)
  File "dev_gandlf/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "dev_gandlf/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "dev_gandlf/lib/python3.9/site-packages/torchmetrics/metric.py", line 298, in forward
    self._forward_cache = self._forward_reduce_state_update(*args, **kwargs)
  File "dev_gandlf/lib/python3.9/site-packages/torchmetrics/metric.py", line 368, in _forward_reduce_state_update
    batch_val = self.compute()
  File "dev_gandlf/lib/python3.9/site-packages/torchmetrics/metric.py", line 607, in wrapped_func
    value = _squeeze_if_scalar(compute(*args, **kwargs))
  File "dev_gandlf/lib/python3.9/site-packages/torchmetrics/classification/auroc.py", line 123, in compute
    return _binary_auroc_compute(state, self.thresholds, self.max_fpr)
  File "dev_gandlf/lib/python3.9/site-packages/torchmetrics/functional/classification/auroc.py", line 88, in _binary_auroc_compute
    fpr, tpr, _ = _binary_roc_compute(state, thresholds, pos_label)
  File "dev_gandlf/lib/python3.9/site-packages/torchmetrics/functional/classification/roc.py", line 54, in _binary_roc_compute
    fps, tps, thres = _binary_clf_curve(preds=state[0], target=state[1], pos_label=pos_label)
  File "dev_gandlf/lib/python3.9/site-packages/torchmetrics/functional/classification/precision_recall_curve.py", line 61, in _binary_clf_curve
    target = target[desc_score_indices]
IndexError: index 7 is out of bounds for dimension 0 with size 5

Expected behavior

It supposed to work :)

Media

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Environment information

GaNDLF version, OS, and any other relevant information.

Additional context

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[sylwiamm]

@sarthakpati you can assign this to me

[sarthakpati]

Thanks!

I just updated the formatting a bit to make the report more legible. 😄

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