tensorflow: Backport upstream as bazel build failing for current

temporary/tf-cudnn-generic.nix

@@ -0,0 +1,56 @@
+{ version
+, srcName
+, sha256
+}:
+
+{ stdenv
+, lib
+, requireFile
+, cudatoolkit
+}:
+
+stdenv.mkDerivation rec {
+  name = "cudatoolkit-${cudatoolkit.majorVersion}-cudnn-${version}";
+
+  inherit version;
+
+  src = requireFile rec {
+    name = srcName;
+    inherit sha256;
+    message = ''
+      This nix expression requires that ${name} is already part of the store.
+      Register yourself to NVIDIA Accelerated Computing Developer Program, retrieve the cuDNN library
+      at https://developer.nvidia.com/cudnn, and run the following command in the download directory:
+      nix-prefetch-url file://\$PWD/${name}
+    '';
+  };
+
+  installPhase = ''
+    function fixRunPath {
+      p=$(patchelf --print-rpath $1)
+      patchelf --set-rpath "$p:${lib.makeLibraryPath [ stdenv.cc.cc ]}" $1
+    }
+    fixRunPath lib64/libcudnn.so
+
+    mkdir -p $out
+    cp -a include $out/include
+    cp -a lib64 $out/lib64
+  '';
+
+  propagatedBuildInputs = [
+    cudatoolkit
+  ];
+
+  passthru = {
+    inherit cudatoolkit;
+    majorVersion = lib.head (lib.splitString "." version);
+  };
+
+  meta = with stdenv.lib; {
+    description = "NVIDIA CUDA Deep Neural Network library (cuDNN)";
+    homepage = "https://developer.nvidia.com/cudnn";
+    license = licenses.unfree;
+    platforms = [ "x86_64-linux" ];
+    maintainers = with maintainers; [ mdaiter ];
+  };
+}