Comments (2)
I would accept a PR making that change. I think anyone who is concerned with performance would know to use openblas and those that just want to test the library would benefit from having it usually work out of the box.
I think the change should add it as default rather than a separate flag.
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Closed in #67
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Related Issues (20)
- Feature request: range-based tensor creation HOT 4
- Tensor#matmul Error: undefined method 'buffer' for Tensor(Float32) HOT 3
- Transpose before matmul causes malformed result HOT 3
- 0.4.2
- Any chance of GRU/LSTM layers ? HOT 1
- Sparse matrices
- Add grad gates for trigonometric functions HOT 1
- Save Num::NN networks
- Standard backend for all Tensors
- Implement Num::NN without automatic differentiation
- Upgrade to Crystal v0.36.x HOT 1
- Documented tensor constructors missing in released num.cr HOT 4
- Version mismatch HOT 1
- CBlas import error HOT 1
- `matmul` not Defined for Float * Complex HOT 3
- CUDA support HOT 2
- Unary negation missing
- `log` and `tanh` not defined for `Num::Grad::Variable`
- `sum` and `mean` not defined for Num::Grad::Variable
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