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Some operations to CuArrays convert UnifiedBuffer arrays to DeviceBuffer
To reproduce
using CUDA
v = CUDA.CuVector{Float32, CUDA.Mem.UnifiedBuffer}(undef, 20)
fill!(v, 2.0)
one(Float32) * v = 20-element CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}:
Version info
Details on Julia:
Julia Version 1.9.4
Commit 8e5136fa297 (2023-11-14 08:46 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: 32 × Intel(R) Xeon(R) Gold 6244 CPU @ 3.60GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-14.0.6 (ORCJIT, cascadelake)
Threads: 1 on 32 virtual cores
Details on CUDA:
CUDA runtime 12.3, artifact installation
CUDA driver 12.3
NVIDIA driver 535.113.1, originally for CUDA 12.2
CUDA libraries:
- CUBLAS: 12.3.4
- CURAND: 10.3.4
- CUFFT: 11.0.12
- CUSOLVER: 11.5.4
- CUSPARSE: 12.2.0
- CUPTI: 21.0.0
- NVML: 12.0.0+535.113.1
Julia packages:
- CUDA: 5.1.1
- CUDA_Driver_jll: 0.7.0+0
- CUDA_Runtime_jll: 0.10.1+0
Toolchain:
- Julia: 1.9.4
- LLVM: 14.0.6
1 device:
0: NVIDIA RTX A6000 (sm_86, 45.700 GiB / 47.988 GiB available).
The text was updated successfully, but these errors were encountered:
Describe the bug
Some operations to CuArrays convert
UnifiedBuffer
arrays toDeviceBuffer
To reproduce
Version info
Details on Julia:
Details on CUDA:
The text was updated successfully, but these errors were encountered: