Comments (1)
This works in numba 0.13
from numba.
Related Issues (20)
- inefficient matrix multiplication with its transpose HOT 4
- np.count_nonzero is incorrect when setting axis=0 for 1-dimensional array HOT 2
- Installation fails on termux Python 3.11 HOT 3
- Compilation failure with NumPy 2.0.1 HOT 2
- isfinite(inf) raises FloatingPointError in vectorized functions HOT 5
- TypingError When Accessing Attributes of Nested JitClasses HOT 4
- Jitted and non-jitten function give different output HOT 4
- What is the solution? HOT 4
- NotImplementedError When creating an empty structured array in parallel HOT 3
- Early Memory Deallocation/Re-use of Arrays HOT 3
- .inspect_types() crashes with Unreachable condition reached. HOT 3
- Reduce compilation time by Cythonizing parts of Numba HOT 9
- TypingError when argument is None HOT 2
- Assertion error in LoopVectorize.cpp on AWS EC2 c7g.8xlarge machines HOT 8
- NumPy 2.1 Support HOT 31
- Fall back to iterative topological sort with function IRs with large numbers of basic blocks HOT 2
- Memory allocations in Numba significantly slower than allocations with Numpy HOT 4
- Can no longer use numba with SVML using documented methods on Windows HOT 8
- High Overhead of `pprint.pformat` Calls During Compilation HOT 2
- Expensive Calls to `ir.Inst.list_vars` During Compilation
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from numba.