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cudaPackages.tests: create tests for OpenCV/Torch ordering
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@ -0,0 +1,81 @@
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{
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cudaPackages,
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lib,
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writeGpuTestPython,
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# Configuration flags
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openCVFirst,
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useOpenCVDefaultCuda,
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useTorchDefaultCuda,
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}:
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let
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inherit (lib.strings) optionalString;
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openCVBlock = ''
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import cv2
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print("OpenCV version:", cv2.__version__)
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# Ensure OpenCV can access the GPU.
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assert cv2.cuda.getCudaEnabledDeviceCount() > 0, "No CUDA devices found for OpenCV"
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print("OpenCV CUDA device:", cv2.cuda.printCudaDeviceInfo(cv2.cuda.getDevice()))
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# Ensure OpenCV can access the GPU.
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print(cv2.getBuildInformation())
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a = cv2.cuda.GpuMat(size=(256, 256), type=cv2.CV_32S, s=1)
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b = cv2.cuda.GpuMat(size=(256, 256), type=cv2.CV_32S, s=1)
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c = int(cv2.cuda.sum(cv2.cuda.add(a, b))[0]) # OpenCV returns a Scalar float object.
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assert c == 2 * 256 * 256, f"Expected {2 * 256 * 256} OpenCV, got {c}"
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'';
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torchBlock = ''
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import torch
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print("Torch version:", torch.__version__)
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# Set up the GPU.
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torch.cuda.init()
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# Ensure the GPU is available.
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assert torch.cuda.is_available(), "CUDA is not available to Torch"
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print("Torch CUDA device:", torch.cuda.get_device_properties(torch.cuda.current_device()))
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a = torch.ones(256, 256, dtype=torch.int32).cuda()
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b = torch.ones(256, 256, dtype=torch.int32).cuda()
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c = (a + b).sum().item()
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assert c == 2 * 256 * 256, f"Expected {2 * 256 * 256} for Torch, got {c}"
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'';
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content = if openCVFirst then openCVBlock + torchBlock else torchBlock + openCVBlock;
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torchName = "torch" + optionalString useTorchDefaultCuda "-with-default-cuda";
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openCVName = "opencv4" + optionalString useOpenCVDefaultCuda "-with-default-cuda";
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in
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# TODO: Ensure the expected CUDA libraries are loaded.
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# TODO: Ensure GPU access works as expected.
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writeGpuTestPython {
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name = if openCVFirst then "${openCVName}-then-${torchName}" else "${torchName}-then-${openCVName}";
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libraries =
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# NOTE: These are purposefully in this order.
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pythonPackages:
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let
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effectiveOpenCV = pythonPackages.opencv4.override (prevAttrs: {
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cudaPackages = if useOpenCVDefaultCuda then prevAttrs.cudaPackages else cudaPackages;
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});
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effectiveTorch = pythonPackages.torchWithCuda.override (prevAttrs: {
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cudaPackages = if useTorchDefaultCuda then prevAttrs.cudaPackages else cudaPackages;
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});
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in
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if openCVFirst then
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[
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effectiveOpenCV
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effectiveTorch
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]
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else
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[
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effectiveTorch
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effectiveOpenCV
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];
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} content
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@ -46,7 +46,7 @@
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, cudaPackages ? {}
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, nvidia-optical-flow-sdk
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, enableLto ? false # TODO: Investigate LTO build failures
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, enableLto ? true
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, enableUnfree ? false
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, enableIpp ? false
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, enablePython ? false
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@ -22594,6 +22594,9 @@ with pkgs;
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pythonPackages = python3Packages;
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# TODO(@connorbaker): OpenCV 4.9 only supports up to CUDA 12.3.
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cudaPackages = cudaPackages_12_3;
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# TODO: LTO does not work.
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# https://github.com/NixOS/nixpkgs/issues/343123
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enableLto = false;
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};
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opencv4WithoutCuda = opencv4.override {
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@ -33,7 +33,9 @@ let
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attrsets
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customisation
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fixedPoints
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lists
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strings
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trivial
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versions
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;
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# Backbone
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@ -81,6 +83,45 @@ let
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nccl = final.callPackage ../development/cuda-modules/nccl { };
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nccl-tests = final.callPackage ../development/cuda-modules/nccl-tests { };
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tests =
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let
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bools = [
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true
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false
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];
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configs = {
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openCVFirst = bools;
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useOpenCVDefaultCuda = bools;
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useTorchDefaultCuda = bools;
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};
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builder =
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{
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openCVFirst,
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useOpenCVDefaultCuda,
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useTorchDefaultCuda,
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}@config:
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{
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name = strings.concatStringsSep "-" (
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[
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"test"
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(if openCVFirst then "opencv" else "torch")
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]
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++ lists.optionals (if openCVFirst then useOpenCVDefaultCuda else useTorchDefaultCuda) [
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"with-default-cuda"
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]
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++ [
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"then"
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(if openCVFirst then "torch" else "opencv")
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]
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++ lists.optionals (if openCVFirst then useTorchDefaultCuda else useOpenCVDefaultCuda) [
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"with-default-cuda"
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]
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);
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value = final.callPackage ../development/cuda-modules/tests/opencv-and-torch config;
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};
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in
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attrsets.listToAttrs (attrsets.mapCartesianProduct builder configs);
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writeGpuTestPython = final.callPackage ../development/cuda-modules/write-gpu-test-python.nix { };
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});
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