uboot: (firmwareOdroidC2/C4) don't invoke patch tool, use patches = [] instead

https://github.com/NixOS/nixpkgs/blob/master/pkgs/stdenv/generic/setup.sh#L948
this can do it nicely.

Signed-off-by: Anton Arapov <anton@deadbeef.mx>

pkgs/development/libraries/science/math/libtorch/test/CMakeLists.txt

@@ -0,0 +1,5 @@
+cmake_minimum_required(VERSION 3.0)
+find_package(Torch REQUIRED)
+set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${TORCH_CXX_FLAGS}")
+add_executable(test test.cpp)
+target_link_libraries(test "${TORCH_LIBRARIES}")

pkgs/development/libraries/science/math/libtorch/test/default.nix

@@ -0,0 +1,51 @@
+{ lib
+, stdenv
+, cmake
+, libtorch-bin
+, linkFarm
+, symlinkJoin
+
+, cudaSupport
+, cudaPackages ? {}
+}:
+let
+  inherit (cudaPackages) cudatoolkit cudnn;
+
+  cudatoolkit_joined = symlinkJoin {
+    name = "${cudatoolkit.name}-unsplit";
+    paths = [ cudatoolkit.out cudatoolkit.lib ];
+  };
+
+  # We do not have access to /run/opengl-driver/lib in the sandbox,
+  # so use a stub instead.
+  cudaStub = linkFarm "cuda-stub" [{
+    name = "libcuda.so.1";
+    path = "${cudatoolkit}/lib/stubs/libcuda.so";
+  }];
+
+in stdenv.mkDerivation {
+  pname = "libtorch-test";
+  version = libtorch-bin.version;
+
+  src = ./.;
+
+  nativeBuildInputs = [ cmake ];
+
+  buildInputs = [ libtorch-bin ] ++
+    lib.optionals cudaSupport [ cudnn ];
+
+  cmakeFlags = lib.optionals cudaSupport
+    [ "-DCUDA_TOOLKIT_ROOT_DIR=${cudatoolkit_joined}" ];
+
+  doCheck = true;
+
+  installPhase = ''
+    touch $out
+  '';
+
+  checkPhase = lib.optionalString cudaSupport ''
+    LD_LIBRARY_PATH=${cudaStub}''${LD_LIBRARY_PATH:+:}$LD_LIBRARY_PATH \
+  '' + ''
+    ./test
+  '';
+}

pkgs/development/libraries/science/math/libtorch/test/test.cpp

@@ -0,0 +1,20 @@
+#undef NDEBUG
+#include <cassert>
+
+#include <iostream>
+
+#include <torch/torch.h>
+
+int main() {
+  torch::Tensor tensor = torch::eye(3);
+
+  float checkData[] = {
+    1, 0, 0,
+    0, 1, 0,
+    0, 0, 1
+  };
+
+  torch::Tensor check = torch::from_blob(checkData, {3, 3});
+
+  assert(tensor.allclose(check));
+}