rocm

I see comments suggesting adding this to understand how loops are being handled by numba, and in the their own FAQ (https://numba.pydata.org/numba-doc/latest/user/faq.html)

from llvmlite import binding as llvm
llvm.set_option('','--debug-only=loop-vectorize')

You would then create your njit function and run it, and I believe the idea is that it prints debug information about whether

Description

https://numpy.org/doc/stable/reference/generated/numpy.corrcoef.html

https://docs.cupy.dev/en/stable/reference/generated/cupy.corrcoef.html

Seems args are different

Additional Information

dtype argument added in NumPy version 1.20.

Just an FYI whilst I was trawling through the ROCm GitHub page:

https://rocmdocs.amd.com/en/latest/Programming_Guides/Programming-Guides.html#

When using AMDGPU on system without AMD GPU the following warnings seem to occur always:

julia> using AMDGPU
[ Info: Precompiling AMDGPU [21141c5a-9bdb-4563-92ae-f87d6854732e]
┌ Warning: HSA runtime has not been built, runtime functionality will be unavailable.
│ Please run Pkg.build("AMDGPU") and reload AMDGPU.
│ Reason: Failed to initialize HSA runtime, status code: 4104
└ @ AMDG