Failed to detect a default CUDA architecture

# Prerequisites

Please answer the following questions for yourself before submitting an issue.

- [x] I am running the latest code. Development is very rapid so there are no tagged versions as of now.
- [x] I carefully followed the [README.md](https://github.com/abetlen/llama-cpp-python/blob/main/README.md).
- [x] I [searched using keywords relevant to my issue](https://docs.github.com/en/issues/tracking-your-work-with-issues/filtering-and-searching-issues-and-pull-requests) to make sure that I am creating a new issue that is not already open (or closed).
- [x] I reviewed the [Discussions](https://github.com/abetlen/llama-cpp-python/discussions), and have a new bug or useful enhancement to share.

# Expected Behavior

Expected it to build.

# Current Behavior

```
CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python --force-reinstall --upgrade --no-cache-dir
```

Fails at this point:

```
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
-- Found Threads: TRUE
-- Found CUDAToolkit: /usr/local/cuda/include (found version "12.2.128")
-- cuBLAS found
-- The CUDA compiler identification is unknown
CMake Error at /tmp/pip-build-env-vyy1n26b/overlay/local/lib/python3.10/dist-packages/cmake/data/share/cmake-3.27/Modules/CMakeDetermineCUDACompiler.cmake:603 (message):
Failed to detect a default CUDA architecture.



Compiler output:

Call Stack (most recent call first):
vendor/llama.cpp/CMakeLists.txt:250 (enable_language)


-- Configuring incomplete, errors occurred!
Traceback (most recent call last):
File "/tmp/pip-build-env-vyy1n26b/overlay/local/lib/python3.10/dist-packages/skbuild/setuptools_wrap.py", line 666, in setup
env = cmkr.configure(
File "/tmp/pip-build-env-vyy1n26b/overlay/local/lib/python3.10/dist-packages/skbuild/cmaker.py", line 357, in configure
raise SKBuildError(msg)

An error occurred while configuring with CMake.
Command:
/tmp/pip-build-env-vyy1n26b/overlay/local/lib/python3.10/dist-packages/cmake/data/bin/cmake /tmp/pip-install-07gczwgt/llama-cpp-python_dac2049bbf404ad88046ca7ba38e3fdb -G Ninja -DCMAKE_MAKE_PROGRAM:FILEPATH=/tmp/pip-build-env-vyy1n26b/overlay/local/lib/python3.10/dist-packages/ninja/data/bin/ninja --no-warn-unused-cli -DCMAKE_INSTALL_PREFIX:PATH=/tmp/pip-install-07gczwgt/llama-cpp-python_dac2049bbf404ad88046ca7ba38e3fdb/_skbuild/linux-x86_64-3.10/cmake-install -DPYTHON_VERSION_STRING:STRING=3.10.12 -DSKBUILD:INTERNAL=TRUE -DCMAKE_MODULE_PATH:PATH=/tmp/pip-build-env-vyy1n26b/overlay/local/lib/python3.10/dist-packages/skbuild/resources/cmake -DPYTHON_EXECUTABLE:PATH=/usr/bin/python3 -DPYTHON_INCLUDE_DIR:PATH=/usr/include/python3.10 -DPYTHON_LIBRARY:PATH=/usr/lib/x86_64-linux-gnu/libpython3.10.so -DPython_EXECUTABLE:PATH=/usr/bin/python3 -DPython_ROOT_DIR:PATH=/usr -DPython_FIND_REGISTRY:STRING=NEVER -DPython_INCLUDE_DIR:PATH=/usr/include/python3.10 -DPython_NumPy_INCLUDE_DIRS:PATH=/usr/lib/python3/dist-packages/numpy/core/include -DPython3_EXECUTABLE:PATH=/usr/bin/python3 -DPython3_ROOT_DIR:PATH=/usr -DPython3_FIND_REGISTRY:STRING=NEVER -DPython3_INCLUDE_DIR:PATH=/usr/include/python3.10 -DPython3_NumPy_INCLUDE_DIRS:PATH=/usr/lib/python3/dist-packages/numpy/core/include -DCMAKE_MAKE_PROGRAM:FILEPATH=/tmp/pip-build-env-vyy1n26b/overlay/local/lib/python3.10/dist-packages/ninja/data/bin/ninja -DLLAMA_CUBLAS=on -DCMAKE_BUILD_TYPE:STRING=Release -DLLAMA_CUBLAS=on
Source directory:
/tmp/pip-install-07gczwgt/llama-cpp-python_dac2049bbf404ad88046ca7ba38e3fdb
Working directory:
/tmp/pip-install-07gczwgt/llama-cpp-python_dac2049bbf404ad88046ca7ba38e3fdb/_skbuild/linux-x86_64-3.10/cmake-build
Please see CMake's output for more information.

[end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for llama-cpp-python
Failed to build llama-cpp-python
ERROR: Could not build wheels for llama-cpp-python, which is required to install pyproject.toml-based projects
```

# Environment and Context

Ubuntu 22.04, Intel CPU, 64GB Ram and 3060 GPU with latest nvidia drivers (535.86.10) and cuda ( 12.2 ) installed via apt.

```
╰─⠠⠵ lscpu on master|✚1…3
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 39 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 12
On-line CPU(s) list: 0-11
Vendor ID: GenuineIntel
Model name: 11th Gen Intel(R) Core(TM) i5-11600K @ 3.90GHz
CPU family: 6
Model: 167
Thread(s) per core: 2
Core(s) per socket: 6
Socket(s): 1
Stepping: 1
CPU max MHz: 4900,0000
CPU min MHz: 800,0000
BogoMIPS: 7824.00
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx p
dpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclm
ulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer
aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi fl
expriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx avx512f avx512dq rdseed adx smap avx512ifma clfl
ushopt intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_notify hwp_act_wind
ow hwp_epp hwp_pkg_req avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid
fsrm md_clear flush_l1d arch_capabilities
Virtualization features:
Virtualization: VT-x
Caches (sum of all):
L1d: 288 KiB (6 instances)
L1i: 192 KiB (6 instances)
L2: 3 MiB (6 instances)
L3: 12 MiB (1 instance)
NUMA:
NUMA node(s): 1
NUMA node0 CPU(s): 0-11
Vulnerabilities:
Itlb multihit: Not affected
L1tf: Not affected
Mds: Not affected
Meltdown: Not affected
Mmio stale data: Vulnerable: Clear CPU buffers attempted, no microcode; SMT vulnerable
Retbleed: Mitigation; Enhanced IBRS
Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence
Srbds: Not affected
Tsx async abort: Not affected
```

```
Linux aquarelle 6.2.0-26-generic #26~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Thu Jul 13 16:27:29 UTC 2 x86_64 x86_64 x86_64 GNU/Linux
```
```
╰─⠠⠵ python3 --version on master|✚1…3
Python 3.10.12
╭─arthur at aquarelle in ~/dev/ai/llama.cpp/build on master✘✘✘ 23-08-22 - 18:22:24
╰─⠠⠵ make --version on master|✚1…3
GNU Make 4.3
Built for x86_64-pc-linux-gnu
Copyright (C) 1988-2020 Free Software Foundation, Inc.
License GPLv3+: GNU GPL version 3 or later
This is free software: you are free to change and redistribute it.
There is NO WARRANTY, to the extent permitted by law.
╭─arthur at aquarelle in ~/dev/ai/llama.cpp/build on master✘✘✘ 23-08-22 - 18:22:28
╰─⠠⠵ g++ --version on master|✚1…3
g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Copyright (C) 2021 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

```

# Steps to Reproduce

1. step 1

```
CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python --force-reinstall --upgrade --no-cache-dir
```