Build a complete experiment pipeline for your PyTorch MIP model in 10 seconds.
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`inspect()`: raise error when the image and label have different shapes. (#238)
cb3f0aaView on GitHubExtend `Profiler` to support memory leak diagnostics (#232)
8429edbView on GitHubEnded up doing a lot but initially: `convert_ids_to_logits()` does not work with single-channel IDs (#223)
1732af2View on GitHubAdd `dtype` argument to `_args_check` in dice metric for type enforcement
37a3cf4View on GitHubRefactor `require_nonempty_secret` parameter names for consistency across frontends.
c91c093View on GitHubRefactor deep supervision handling in segmentation preset for improved clarity and error handling.
5231535View on GitHub