Comments (2)
I'm pretty sure this is slow because the column major xtensor will be strided in memory between elements. This will always be slow. I haven't run the assignment loop in this case but it could very well be using the stepper assignment method which won't be improved with openmp.
from xtensor.
Could we quantify the performance by writing an explicit assignment in a loop (making use of the strides)?
from xtensor.
Related Issues (20)
- [Bug] Error when using vstack with mixed shape type HOT 1
- Can't find functions finding the maximum and minimum values and indices of the entire matrix HOT 3
- Adding `xt::reshape` like `reshape` intrinsic in Fortran HOT 11
- View sizes mismatch when assigning view to another view HOT 5
- `xt::real(...)` crashes the program when printed to `cout` HOT 1
- [C++20] Module and Concepts HOT 2
- update for xsimd 13 HOT 4
- arm64 build timing out on test_xblockwise_reducer.cpp HOT 1
- [Performance] Sub-optimal performance on means of strided axes
- Linear algebra operators HOT 1
- Buggy behaviour of non-contiguous xadaptor and scalar assignment
- saturation arithmetic?
- Tensor View Operations Slower Than Manual Looping
- How can I compile xtensor with gcc-7.5 HOT 5
- Avoiding template explosion on views HOT 4
- Performance issue possibly related to returning C-style adaptor from function
- Non-conformant testing of template-template-args c++ standard feature HOT 1
- transpose slower than numpy
- xt::variance crashes HOT 2
- Unexpected value of `xt::get_rank<xt::xtensor_adaptor>`.
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from xtensor.