0.4.1

Bugfix release

• Improved diagnostics on some calls using non-existing dimensions of a tensor #14.
• Removed spurious diagnostics on caller site for not understood dimensions on the callee #12.

0.4.0

The first release you can recommend to a friend

• Inference now propagates through calls to instances of (non-builtin) torch.nn.Module to the respective forward method.
• Inference also propagates across non-forward methods for caller–callee analysis.
• Inference runs through control flow (if, for, while) rather than skipping branches.
• Functional convolution ops are supported.
• New broadcastable operation groups: functional elementwise ops (torch.add/torch.div etc.) and broadcastable comparisons (with boolean dtype output).
• Bitwise operator support added for tensor operations.
• New repeat/expand family support: torch.expand, torch.repeat, and torch.repeat_interleave.
• View/reshape ops expanded: torch.flatten, torch.ravel, plus spatial transforms flip and rot90.
• Creation op coverage widened with *_like ops and range/lin/logspace (plus randperm) creation.
• Partial support added for masked_fill.
• New CLI to analyze a single file and print results to stdout.

0.3.0

chore: bump version 0.3.0

0.2.0

chore: bump version to 0.2.0

0.1.0

chore: add release workflow