Commit ddd283f3 authored by Connor Baker's avatar Connor Baker
Browse files

cudaPackages.tensorrt: use 10.13.0 for linux-sbsa on CUDA 12

parent d786739a
Loading
Loading
Loading
Loading
+36 −0
Original line number Diff line number Diff line
{
    "release_date": "2025-07-22",
    "release_label": "10.13.0",
    "release_product": "tensorrt",
    "tensorrt": {
        "name": "NVIDIA TensorRT",
        "license": "TensorRT",
        "version": "10.13.0.35",
        "cuda_variant": [
            "11",
            "12"
        ],
        "linux-sbsa": {
            "cuda12": {
                "md5": "30ba514ad9252fbaec21d0a336fe5b0a",
                "relative_path": "tensorrt/10.13.0/tars/TensorRT-10.13.0.35.Linux.aarch64-gnu.cuda-12.9.tar.gz",
                "sha256": "b2f7c7ae6da3588729b7a64825246cc59b643adbe373684fb9c5713262ed46c2",
                "size": "4377387760"
            }
        },
        "linux-x86_64": {
            "cuda11": {
                "md5": "6388feec8573aeced9863a70091aad97",
                "relative_path": "tensorrt/10.13.0/tars/TensorRT-10.13.0.35.Linux.x86_64-gnu.cuda-11.8.tar.gz",
                "sha256": "4128dd4f40433b957c90f9d04d53311d1636ee046b66a241ab60492f4861de74",
                "size": "4788315804"
            },
            "cuda12": {
                "md5": "de94ac8efa527dfd7fa5700f368ebf74",
                "relative_path": "tensorrt/10.13.0/tars/TensorRT-10.13.0.35.Linux.x86_64-gnu.cuda-12.9.tar.gz",
                "sha256": "899ff39e237f1351fccac7f6891617f68cbab71c13a7d7c703184424bdbbf621",
                "size": "6934362378"
            }
        }
    }
}
+31 −6
Original line number Diff line number Diff line
@@ -11,9 +11,16 @@ let
      manifests = _cuda.lib.selectManifests manifestVersions;
    };

  # NOTE:
  # The manifests are largely the same except for TensorRT:
  # - linux-x86_64 is generally the best supported and can use the latest release
  # - linux-sbsa (post-Orin Jetson and ARM) comes in second; NVIDIA dropped support for CUDA 12 with 10.13.2 (there is no
  #   10.13.1), so we use 10.13.0 for all CUDA 12 releases.
  # - linux-aarch64 (pre-Thor Jetson) is historically least supported; we use the latest release available.

  cudaPackages_12_6 =
    let
      inherit (cudaPackages_12_6.backendStdenv) hasJetsonCudaCapability;
      inherit (cudaPackages_12_6.backendStdenv) hasJetsonCudaCapability hostPlatform;
    in
    mkCudaPackages {
      cublasmp = "0.6.0";
@@ -29,12 +36,18 @@ let
      nvjpeg2000 = "0.9.0";
      nvpl = "25.5";
      nvtiff = "0.5.1";
      tensorrt = if hasJetsonCudaCapability then "10.7.0" else "10.14.1";
      tensorrt =
        if hasJetsonCudaCapability then
          "10.7.0"
        else if hostPlatform.isAarch64 then
          "10.13.0"
        else
          "10.14.1";
    };

  cudaPackages_12_8 =
    let
      inherit (cudaPackages_12_8.backendStdenv) hasJetsonCudaCapability;
      inherit (cudaPackages_12_8.backendStdenv) hasJetsonCudaCapability hostPlatform;
    in
    mkCudaPackages {
      cublasmp = "0.6.0";
@@ -50,12 +63,18 @@ let
      nvjpeg2000 = "0.9.0";
      nvpl = "25.5";
      nvtiff = "0.5.1";
      tensorrt = if hasJetsonCudaCapability then "10.7.0" else "10.14.1";
      tensorrt =
        if hasJetsonCudaCapability then
          "10.7.0"
        else if hostPlatform.isAarch64 then
          "10.13.0"
        else
          "10.14.1";
    };

  cudaPackages_12_9 =
    let
      inherit (cudaPackages_12_9.backendStdenv) hasJetsonCudaCapability;
      inherit (cudaPackages_12_9.backendStdenv) hasJetsonCudaCapability hostPlatform;
    in
    mkCudaPackages {
      cublasmp = "0.6.0";
@@ -71,7 +90,13 @@ let
      nvjpeg2000 = "0.9.0";
      nvpl = "25.5";
      nvtiff = "0.5.1";
      tensorrt = if hasJetsonCudaCapability then "10.7.0" else "10.14.1";
      tensorrt =
        if hasJetsonCudaCapability then
          "10.7.0"
        else if hostPlatform.isAarch64 then
          "10.13.0"
        else
          "10.14.1";
    };

  # NOTE: Thor is supported from CUDA 13.0, so our check needs to capture whether pre-Thor devices were selected.