Comments (2)
@jeremyasapp I propose we have some kind of test run functionality that initializes all objects but doesn't run them, as that will cover this feature request in a general way that doesn't require additional non-standard functions from users
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@nmatthews-asapp I like the idea. I can try to make a PR for it
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Related Issues (20)
- `Script` should support positional arguments HOT 2
- Cannot add custom attributes to a flambe module HOT 1
- Relative paths no longer work for local resources
- Reporting server not logging requests when tensorboard is installed.
- More useful stage dependency graph
- Check cluster compatibility of the yaml config before starting the cluster
- AvgPooling fails even when input dimensions match expected ones. HOT 1
- Richer debug mode HOT 1
- Separate embedder and encoder in flambe.nn.embedder HOT 3
- Warning when copying a tensor in the base sampler
- Reporting script can die on the orchestrator HOT 1
- Out-of-the-box experiments with standard datasets HOT 1
- Make `extra_validation_metrics` a key-value mapping rather than a list HOT 1
- RNN (sru) is incompatible with torch 1.3
- Make all Flambe base-models torchscript compatible HOT 1
- No in-built functionality for tracking of metrics during training HOT 3
- Allow pickle for saving checkpoints in Experiment HOT 1
- TaggedScalar instead of Schema when using make_component HOT 1
- Better data handling for datasets HOT 1
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