nccl: 1.2.4-1 -> 2.1.4

It's closed source now.

pkgs/development/libraries/science/math/nccl/default.nix

@@ -1,41 +1,24 @@
-{ stdenv, fetchFromGitHub
-, gcc5, eject, cudatoolkit
-}:
+{ callPackage, cudatoolkit8, cudatoolkit9 }:
 
-stdenv.mkDerivation rec {
-  name = "cudatoolkit-${cudatoolkit.majorVersion}-nccl-${version}";
-  version = "1.3.4-1";
-
-  src = fetchFromGitHub {
-    owner = "NVIDIA";
-    repo = "nccl";
-    rev = "v${version}";
-    sha256 = "0fvnrfn572lc6i2a3xyhbifm53ivcrr46z6cqr3b0bwb1iq79m7q";
+let
+  generic = args: callPackage (import ./generic.nix (removeAttrs args ["cudatoolkit"])) {
+    inherit (args) cudatoolkit;
   };
 
-  nativeBuildInputs = [
-    gcc5
-    eject
-  ];
+in
 
-  propagatedBuildInputs = [
-    cudatoolkit
-  ];
+{
+  nccl_cudatoolkit8 = generic rec {
+    version = "2.1.4";
+    cudatoolkit = cudatoolkit8;
+    srcName = "nccl_${version}-1+cuda${cudatoolkit.majorVersion}_x86_64.txz";
+    sha256 = "1lwwm8kdhna5m318yg304kl2gsz1jwhv4zv4gn8av2m57zh848zi";
+  };
 
-  makeFlags = [
-    "PREFIX=$(out)"
-    "CUDA_HOME=${cudatoolkit}"
-    "CUDA_LIB=${cudatoolkit.lib}/lib"
-  ];
-
-  meta = with stdenv.lib; {
-    description = ''
-      NVIDIA Collective Communications Library.
-      Multi-GPU and multi-node collective communication primitives.
-    '';
-    homepage = https://developer.nvidia.com/nccl;
-    license = licenses.bsd3;
-    platforms = [ "x86_64-linux" ];
-    maintainers = with maintainers; [ hyphon81 ];
+  nccl_cudatoolkit9 = generic rec {
+    version = "2.1.4";
+    cudatoolkit = cudatoolkit9;
+    srcName = "nccl_${version}-1+cuda${cudatoolkit.majorVersion}_x86_64.txz";
+    sha256 = "0pajmqzkacpszs63jh2hw2qqc49kj75kcf7r0ky8hdh560q8xn0p";
   };
 }

pkgs/development/libraries/science/math/nccl/generic.nix

@@ -0,0 +1,57 @@
+{ version
+, srcName
+, sha256
+}:
+
+{ stdenv
+, lib
+, requireFile
+, cudatoolkit
+}:
+
+stdenv.mkDerivation rec {
+  name = "cudatoolkit-${cudatoolkit.majorVersion}-nccl-${version}";
+
+  inherit version;
+
+  src = requireFile rec {
+    name = srcName;
+    inherit sha256;
+    message = ''
+      This nix expression requires that ${name} is already part of the store.
+      Register yourself to NVIDIA Accelerated Computing Developer Program, retrieve the NCCL library
+      at https://developer.nvidia.com/nccl, and run the following command in the download directory:
+      nix-prefetch-url file://${name}
+    '';
+  };
+
+  unpackCmd = "tar xJf $src";
+
+  installPhase = ''
+    function fixRunPath {
+      p=$(patchelf --print-rpath $1)
+      patchelf --set-rpath "$p:${lib.makeLibraryPath [ stdenv.cc.cc ]}" $1
+    }
+    fixRunPath lib/libnccl.so
+
+    mkdir -p $out
+    cp -a include $out/include
+    cp -a lib $out/lib
+  '';
+
+  propagatedBuildInputs = [
+    cudatoolkit
+  ];
+
+  passthru = {
+    inherit cudatoolkit;
+  };
+
+  meta = with stdenv.lib; {
+    description = "Multi-GPU and multi-node collective communication primitives that are performance optimized for NVIDIA GPUs";
+    homepage = https://developer.nvidia.com/nccl;
+    license = licenses.unfree;
+    platforms = [ "x86_64-linux" ];
+    maintainers = with maintainers; [ mdaiter ];
+  };
+}

pkgs/top-level/all-packages.nix

@@ -3704,9 +3704,11 @@ with pkgs;
 
   nbd = callPackage ../tools/networking/nbd { };
 
-  nccl = callPackage ../development/libraries/science/math/nccl {
-    cudatoolkit = cudatoolkit8;
-  };
+  inherit (callPackages ../development/libraries/science/math/nccl { })
+    nccl_cudatoolkit8
+    nccl_cudatoolkit9;
+
+  nccl = nccl_cudatoolkit9;
 
   ndjbdns = callPackage ../tools/networking/ndjbdns { };