Related Issues (20)
- Opt Einsum v3.5.0 HOT 1
- allow `backend=None` as shorthand for 'auto' HOT 1
- Could `opt_einsum` understand repeated inputs?
- Zero dimension tensors (as zero entries) lead opt_einsum slower than einsum HOT 1
- Fink optimal path for caching constant intermediates HOT 3
- When I use opt_einsum optimizes torch.einum, the running time after optimization increases. HOT 5
- Thoughts on making the numpy dependency optional? HOT 5
- Way to keep tensor Ids from being rearranged to cretae custom paths HOT 2
- 'out' option in 'contract' makes a copy HOT 6
- Contigugous loss after opt-einsum that may affect the efficiency of subsequent operations HOT 8
- Return type of opt_einsum.contract -- linter errors HOT 2
- Add Aesara as a backend HOT 4
- Multiple GPUs HOT 1
- Suggestion: Multiple einsum steps HOT 2
- Setting memory_limit in contract_path causes "ValueError: invalid subscript 'Ų' in einstein sum subscripts string, subscripts must be letters" HOT 7
- contract_expression inconsistent with contract
- contract_path with `optimize=bool` raises HOT 3
- Sub-optimal contraction path when using broadcasting
- New release with Python 3.12 support? HOT 1
- Setup.py says install requires Numpy >= 1.7 HOT 1
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from opt_einsum.