Comments (1)
This major commit (06dfa82) fixes this exact issue and brings a much cleaner API to SIMDVector.DEFAULT_ABI
is no longer an integral non-type template parameter but a template type that defaults to simd_abi::avx
on AVX
architectures and simd_abi::sse
on SSE
architectures and simd_abi::scalar
on non-SIMD architectures and so on.
from fastor.
Related Issues (20)
- Implementation of tensor with variable sizes HOT 2
- Why Tensor's have this exact size? HOT 2
- Multiplying a complex tensor with a complex number gives zero HOT 1
- ARM Support? HOT 1
- einsum can't handle big tensor and get stack overflow HOT 1
- [feature] Support for tensor fields. HOT 1
- Tensor network contraction fails
- Another Operation on Tensor View Bug HOT 2
- Seg Fault when attempting broadcast. HOT 1
- [Feature Request] Constexpr Tensor HOT 3
- Inner product between 2 matrices HOT 1
- Support for apple's M1
- Python interfacer
- New minor release HOT 1
- How should I understood "Compile time operation minimisation such as graph optimisation, greedy matrix-chain products and nearly symbolic manipulations to reduce the complexity of evaluation of BLAS or non-BLAS type expressions by orders of magnitude" HOT 1
- Alternative einsum syntax using UDLs and tag dispatch HOT 2
- Build fails on PPC: simd_vector_scalar.h: error: assignment of read-only location '* data' HOT 2
- Variables in constructor do not compile HOT 2
- Is it possible to access a particular row or column of matrix and perform operation on it only HOT 1
- Pivoting speed HOT 1
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from fastor.