pyrox.dev
cudaPackages.cudnn: migrate to redist cuda, fix missing zlib (#168748)
* cudaPackages.cudnn: migrate to redist cudaPackages
* cudaPackages.cudnn: fix missing zlib in rpath
* cudaPackages.cudnn: remove the propagated cudatoolkit
* cudaPackages.cudnn: use autoPatchelfHook
instead of custom find ... -exec ldd | grep routine
mark libcudnn_cnn_infer.so as needed for libcudnn.so on cudnn>=8.0.5
- a hint for autoPatchelf, as an alternative to manually adding $ORIGIN
* cudaPackages.cudnn: use automatic hooks for rpath
as a more common way to use addOpenGLRunpath and autoPatchelf with cudaPackages
* cudaPackages.cudnn: consume individual cuda packages
...since cudnn is part of the cuda package set
- introduces the scary useCudatoolkitRunfile function argument
to discourage usage of the runfile-based cudatoolkit
- instead of the rather hidden useRedist term in let ... in
- repeats cudatoolkit_root pattern after cuda_joined in pytorch &c
(the "toolchain view")
- redist packages are marked optional to support cuda<11.4 where the
attributes for redist packages do not exist
* cudaPackages.cudnn: update to pname+version
Co-authored-by: Sandro <sandro.jaeckel@gmail.com>
Co-authored-by: Sandro <sandro.jaeckel@gmail.com>
+5
-1
pkgs/development/libraries/science/math/cudnn/extension.nix
+5
-1
pkgs/development/libraries/science/math/cudnn/extension.nix
+48
-32
pkgs/development/libraries/science/math/cudnn/generic.nix
+48
-32
pkgs/development/libraries/science/math/cudnn/generic.nix
···
1
{ stdenv
2
, lib
3
-
, cudatoolkit
4
, fetchurl
5
-
, addOpenGLRunpath
6
, # The distributed version of CUDNN includes both dynamically liked .so files,
7
# as well as statically linked .a files. However, CUDNN is quite large
8
# (multiple gigabytes), so you can save some space in your nix store by
···
17
, url
18
, hash ? null
19
, sha256 ? null
20
-
, supportedCudaVersions ? []
21
}:
22
23
assert (hash != null) || (sha256 != null);
24
25
let
26
majorMinorPatch = version: lib.concatStringsSep "." (lib.take 3 (lib.splitVersion version));
27
version = majorMinorPatch fullVersion;
28
-
in stdenv.mkDerivation {
29
-
name = "cudatoolkit-${cudatoolkit.majorVersion}-cudnn-${version}";
30
31
inherit version;
32
-
# It's often the case that the src depends on the version of cudatoolkit it's
33
-
# being linked against, so we pass in `cudatoolkit` as an argument to `mkSrc`.
34
src = fetchurl {
35
inherit url hash sha256;
36
};
37
38
-
nativeBuildInputs = [ addOpenGLRunpath ];
39
40
-
# Some cuDNN libraries depend on things in cudatoolkit, eg.
41
-
# libcudnn_ops_infer.so.8 tries to load libcublas.so.11. So we need to patch
42
-
# cudatoolkit into RPATH. See also https://github.com/NixOS/nixpkgs/blob/88a2ad974692a5c3638fcdc2c772e5770f3f7b21/pkgs/development/python-modules/jaxlib/bin.nix#L78-L98.
43
#
44
# Note also that version <=8.3.0 contained a subdirectory "lib64/" but in
45
# version 8.3.2 it seems to have been renamed to simply "lib/".
46
installPhase = ''
47
runHook preInstall
48
49
-
function fixRunPath {
50
-
p=$(patchelf --print-rpath $1)
51
-
patchelf --set-rpath "''${p:+$p:}${lib.makeLibraryPath [ stdenv.cc.cc cudatoolkit.lib ]}:${cudatoolkit}/lib:\$ORIGIN/" $1
52
-
}
53
-
54
-
for sofile in {lib,lib64}/lib*.so; do
55
-
fixRunPath $sofile
56
-
done
57
-
58
mkdir -p $out
59
cp -a include $out/include
60
[ -d "lib/" ] && cp -a lib $out/lib
···
66
runHook postInstall
67
'';
68
69
-
# Set RUNPATH so that libcuda in /run/opengl-driver(-32)/lib can be found.
70
-
# See the explanation in addOpenGLRunpath.
71
-
postFixup = ''
72
-
for lib in $out/lib/lib*.so; do
73
-
addOpenGLRunpath $lib
74
-
done
75
'';
76
77
-
propagatedBuildInputs = [
78
-
cudatoolkit
79
-
];
80
-
81
passthru = {
82
-
inherit cudatoolkit;
83
majorVersion = lib.versions.major version;
84
};
85
···
89
# official version constraints (as recorded in default.nix). In some cases
90
# you _may_ be able to smudge version constraints, just know that you're
91
# embarking into unknown and unsupported territory when doing so.
92
-
broken = !(elem cudatoolkit.majorMinorVersion supportedCudaVersions);
93
description = "NVIDIA CUDA Deep Neural Network library (cuDNN)";
94
homepage = "https://developer.nvidia.com/cudnn";
95
license = licenses.unfree;
96
platforms = [ "x86_64-linux" ];
97
maintainers = with maintainers; [ mdaiter samuela ];
···
1
{ stdenv
2
, lib
3
+
, zlib
4
+
, useCudatoolkitRunfile ? false
5
+
, cudaVersion
6
+
, cudaMajorVersion
7
+
, cudatoolkit # if cuda>=11: only used for .cc
8
+
, libcublas ? null # cuda <11 doesn't ship redist packages
9
+
, autoPatchelfHook
10
+
, autoAddOpenGLRunpathHook
11
, fetchurl
12
, # The distributed version of CUDNN includes both dynamically liked .so files,
13
# as well as statically linked .a files. However, CUDNN is quite large
14
# (multiple gigabytes), so you can save some space in your nix store by
···
23
, url
24
, hash ? null
25
, sha256 ? null
26
+
, supportedCudaVersions ? [ ]
27
}:
28
29
assert (hash != null) || (sha256 != null);
30
31
+
assert useCudatoolkitRunfile || (libcublas != null);
32
+
33
let
34
+
inherit (cudatoolkit) cc;
35
+
36
majorMinorPatch = version: lib.concatStringsSep "." (lib.take 3 (lib.splitVersion version));
37
version = majorMinorPatch fullVersion;
38
39
+
cudatoolkit_root =
40
+
if useCudatoolkitRunfile
41
+
then cudatoolkit
42
+
else libcublas;
43
+
in
44
+
stdenv.mkDerivation {
45
+
pname = "cudatoolkit-${cudaMajorVersion}-cudnn";
46
inherit version;
47
+
48
src = fetchurl {
49
inherit url hash sha256;
50
};
51
52
+
# Check and normalize Runpath against DT_NEEDED using autoPatchelf.
53
+
# Prepend /run/opengl-driver/lib using addOpenGLRunpath for dlopen("libcudacuda.so")
54
+
nativeBuildInputs = [
55
+
autoPatchelfHook
56
+
autoAddOpenGLRunpathHook
57
+
];
58
59
+
# Used by autoPatchelfHook
60
+
buildInputs = [
61
+
cc.cc.lib # libstdc++
62
+
zlib
63
+
cudatoolkit_root
64
+
];
65
+
66
+
# We used to patch Runpath here, but now we use autoPatchelfHook
67
#
68
# Note also that version <=8.3.0 contained a subdirectory "lib64/" but in
69
# version 8.3.2 it seems to have been renamed to simply "lib/".
70
installPhase = ''
71
runHook preInstall
72
73
mkdir -p $out
74
cp -a include $out/include
75
[ -d "lib/" ] && cp -a lib $out/lib
···
81
runHook postInstall
82
'';
83
84
+
# Without --add-needed autoPatchelf forgets $ORIGIN on cuda>=8.0.5.
85
+
postFixup = lib.optionalString (lib.versionAtLeast fullVersion "8.0.5") ''
86
+
patchelf $out/lib/libcudnn.so --add-needed libcudnn_cnn_infer.so
87
'';
88
89
passthru = {
90
+
inherit useCudatoolkitRunfile;
91
+
92
+
cudatoolkit = lib.warn ''
93
+
cudnn.cudatoolkit passthru attribute is deprecated;
94
+
if your derivation uses cudnn directly, it should probably consume cudaPackages instead
95
+
''
96
+
cudatoolkit;
97
+
98
majorVersion = lib.versions.major version;
99
};
100
···
104
# official version constraints (as recorded in default.nix). In some cases
105
# you _may_ be able to smudge version constraints, just know that you're
106
# embarking into unknown and unsupported territory when doing so.
107
+
broken = !(elem cudaVersion supportedCudaVersions);
108
description = "NVIDIA CUDA Deep Neural Network library (cuDNN)";
109
homepage = "https://developer.nvidia.com/cudnn";
110
+
# TODO: consider marking unfreRedistributable when not using runfile
111
license = licenses.unfree;
112
platforms = [ "x86_64-linux" ];
113
maintainers = with maintainers; [ mdaiter samuela ];
+1
pkgs/games/katago/default.nix
+1
pkgs/games/katago/default.nix