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Description
Trying to build the qwen demo, ran into:
Expected symbol in library: DlSym { desc: "/opt/cuda/lib64/libnvrtc.so: undefined symbol: nvrtcGetNVVM" }
stack backtrace:
0: __rustc::rust_begin_unwind
1: core::panicking::panic_fmt
2: core::result::unwrap_failed
3: cudarc::nvrtc::sys::loaded::Lib::new
4: std::sync::poison::once::Once::call_once_force::{{closure}}
5: std::sys::sync::once::futex::Once::call
6: std::sync::once_lock::OnceLock<T>::initialize
7: cudarc::nvrtc::result::create_program
8: cudarc::nvrtc::safe::compile_ptx_with_opts
9: luminal_cuda::compile_and_load_kernel
10: luminal_cuda::prim::CudaContiguous<T>::new
11: <luminal_cuda::prim::PrimitiveCompiler<T> as luminal::compiler_utils::Compiler>::compile
12: luminal::graph::Graph::compile
13: qwen::mainpackage shows as:
Name : cuda
Version : 13.0.2-2
Description : NVIDIA's GPU programming toolkit
the lib in question is:
Version definition section '.gnu.version_d' contains 2 entries:
Addr: 0x0000000000003c60 Offset: 0x00003c60 Link: 5 (.dynstr)
000000: Rev: 1 Flags: BASE Index: 1 Cnt: 1 Name: libnvrtc.so.13
0x0014: Rev: 1 Flags: none Index: 2 Cnt: 1 Name: libnvrtc.so.13
Version needs section '.gnu.version_r' contains 5 entries:
Addr: 0x0000000000003c90 Offset: 0x00003c90 Link: 5 (.dynstr)
000000: Version: 1 File: ld-linux-x86-64.so.2 Cnt: 1
0x0010: Name: GLIBC_2.3 Flags: none Version: 11
0x0020: Version: 1 File: libm.so.6 Cnt: 1
0x0030: Name: GLIBC_2.2.5 Flags: none Version: 7
0x0040: Version: 1 File: libdl.so.2 Cnt: 1
0x0050: Name: GLIBC_2.2.5 Flags: none Version: 5
0x0060: Version: 1 File: libc.so.6 Cnt: 5
0x0070: Name: GLIBC_2.6 Flags: none Version: 12
0x0080: Name: GLIBC_2.3.4 Flags: none Version: 10
0x0090: Name: GLIBC_2.3 Flags: none Version: 9
0x00a0: Name: GLIBC_2.7 Flags: none Version: 6
0x00b0: Name: GLIBC_2.2.5 Flags: none Version: 4
0x00c0: Version: 1 File: libpthread.so.0 Cnt: 2
0x00d0: Name: GLIBC_2.3.2 Flags: none Version: 8
0x00e0: Name: GLIBC_2.2.5 Flags: none Version: 3
Any chance someone has a dockerfile in their back pocket to stabilize build/run targets a bit given the slew of CUDA environment setups out there?
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