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cd7e2f8e36
Certain applications (pytorch) decide that it's a great idea to distribute whole CUDA driver and link to it with DT_RPATH. This igores LD_LIBRARY_PATH. This code defeats that evil mechanism through any means necessary
39 lines
835 B
TOML
39 lines
835 B
TOML
[package]
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name = "zluda"
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version = "0.0.0"
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authors = ["Andrzej Janik <vosen@vosen.pl>"]
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edition = "2021"
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[lib]
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name = "nvcuda"
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crate-type = ["cdylib"]
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[dependencies]
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comgr = { path = "../comgr" }
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ptx_parser = { path = "../ptx_parser" }
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ptx = { path = "../ptx" }
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cuda_types = { path = "../cuda_types" }
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cuda_macros = { path = "../cuda_macros" }
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hip_runtime-sys = { path = "../ext/hip_runtime-sys" }
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dark_api = { path = "../dark_api" }
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lazy_static = "1.4"
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num_enum = "0.4"
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lz4-sys = "1.9"
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tempfile = "3"
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paste = "1.0"
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rustc-hash = "1.1"
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zluda_common = { path = "../zluda_common" }
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[target.'cfg(windows)'.dependencies]
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winapi = { version = "0.3", features = ["heapapi", "std"] }
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[target.'cfg(not(windows))'.dependencies]
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libc = "0.2"
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dtor = "0.0.7"
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[package.metadata.zluda]
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linux_symlinks = [
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"libcuda.so",
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"libcuda.so.1",
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]
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