runtimes/cuda: obtain NCCL from the pip package, matching XLA behavior.

runtimes/cuda/cuda.bzl

@@ -60,7 +60,10 @@ CUDA_PACKAGES = {
             name = "libdevice",
             srcs = ["nvvm/libdevice/libdevice.10.bc"],
         ),
-        _cc_import(name = "nvvm", shared_library = "nvvm/lib64/libnvvm.so.4"),
+        _cc_import(
+            name = "nvvm",
+            shared_library = "nvvm/lib64/libnvvm.so.4",
+        ),
     ]),
     "cuda_nvrtc": "\n".join([
         _cc_import(
@@ -164,29 +167,24 @@ def _cuda_impl(mctx):
             strip_prefix = paths.basename(arch_data["relative_path"]).replace(".tar.xz", ""),
         )
 
-    http_deb_archive(
+    http_archive(
-        name = "libnccl",
-        urls = ["https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/libnccl2_2.23.4-1+cuda12.6_amd64.deb"],
-        sha256 = "161e6da03d5faf8f5661a46d63ad524802464b24eadf182cfb4460a8675b2376",
-        build_file_content = """\
-cc_import(
         name = "nccl",
-    shared_library = "usr/lib/x86_64-linux-gnu/libnccl.so.2",
+        urls = ["https://files.pythonhosted.org/packages/ed/1f/6482380ec8dcec4894e7503490fc536d846b0d59694acad9cf99f27d0e7d/nvidia_nccl_cu12-2.23.4-py3-none-manylinux2014_x86_64.whl"],
-    visibility = ["@libpjrt_cuda//:__subpackages__"],
+        type = "zip",
-)
+        sha256 = "b097258d9aab2fa9f686e33c6fe40ae57b27df60cedbd15d139701bb5509e0c1",
-""",
+        build_file_content = _cc_import(
+            name = "nccl",
+            shared_library = "nvidia/nccl/lib/libnccl.so.2",
+        ),
     )
     http_deb_archive(
         name = "zlib",
         urls = ["https://snapshot-cloudflare.debian.org/archive/debian/20241127T143620Z/pool/main/z/zlib/zlib1g_1.3.dfsg%2Breally1.3.1-1%2Bb1_amd64.deb"],
         sha256 = "015be740d6236ad114582dea500c1d907f29e16d6db00566ca32fb68d71ac90d",
-        build_file_content = """\
+        build_file_content = _cc_import(
-cc_import(
             name = "zlib",
             shared_library = "usr/lib/x86_64-linux-gnu/libz.so.1",
-    visibility = ["@libpjrt_cuda//:__subpackages__"],
+        ),
-)
-""",
     )
 
     http_archive(

runtimes/cuda/cudnn.redistrib_9.4.0.json

@@ -1,77 +0,0 @@
-{
-    "release_date": "2024-09-05",
-    "release_label": "9.4.0",
-    "release_product": "cudnn",
-    "cudnn": {
-        "name": "NVIDIA CUDA Deep Neural Network library",
-        "license": "cudnn",
-        "license_path": "cudnn/LICENSE.txt",
-        "version": "9.4.0.58",
-        "linux-x86_64": {
-            "cuda11": {
-                "relative_path": "cudnn/linux-x86_64/cudnn-linux-x86_64-9.4.0.58_cuda11-archive.tar.xz",
-                "sha256": "34a3c798764b8fc10c7145065798fb530d62073e88a3b0cfdcec458e2ace4467",
-                "md5": "cabfb7d1acee9dbe1eef8e5960e7b207",
-                "size": "737638524"
-            },
-            "cuda12": {
-                "relative_path": "cudnn/linux-x86_64/cudnn-linux-x86_64-9.4.0.58_cuda12-archive.tar.xz",
-                "sha256": "1ae128159a8c01b1fd8709050a30813ed9a4dd95824c0d3ddf841c52c8e25218",
-                "md5": "6f3dc24117b9ba640f3a8b6582dd0f2c",
-                "size": "745465960"
-            }
-        },
-        "cuda_variant": [
-            "11",
-            "12"
-        ],
-        "linux-sbsa": {
-            "cuda11": {
-                "relative_path": "cudnn/linux-sbsa/cudnn-linux-sbsa-9.4.0.58_cuda11-archive.tar.xz",
-                "sha256": "aa39d5a1d52fbf8c92a5a0c0cdb9b8d2772f99be15ee91c1a22932ac81d0f0dd",
-                "md5": "28be699ed21c03e05ef8dbece0bff43f",
-                "size": "736652544"
-            },
-            "cuda12": {
-                "relative_path": "cudnn/linux-sbsa/cudnn-linux-sbsa-9.4.0.58_cuda12-archive.tar.xz",
-                "sha256": "07c1b686b3dfa3a976dfc03e886fe44190c49c55f05795ea912d49518bf7d0cd",
-                "md5": "6346daaf3e4e730e2e710ce6080b7b73",
-                "size": "743942524"
-            }
-        },
-        "windows-x86_64": {
-            "cuda11": {
-                "relative_path": "cudnn/windows-x86_64/cudnn-windows-x86_64-9.4.0.58_cuda11-archive.zip",
-                "sha256": "2f5389d9769fc7b13fcc08ae050f8f911506e76a3b785abcc53cde97d4b3a5a5",
-                "md5": "2b32d2393d92b95fd172913b972ab590",
-                "size": "557332411"
-            },
-            "cuda12": {
-                "relative_path": "cudnn/windows-x86_64/cudnn-windows-x86_64-9.4.0.58_cuda12-archive.zip",
-                "sha256": "c7c642c8db950d32c283acbb6a3d2aaeb484ae3fcef2eb7fee5523b72303a452",
-                "md5": "4783043b45542528c4af17af659fe26d",
-                "size": "560885858"
-            }
-        },
-        "linux-aarch64": {
-            "cuda12": {
-                "relative_path": "cudnn/linux-aarch64/cudnn-linux-aarch64-9.4.0.58_cuda12-archive.tar.xz",
-                "sha256": "5914e8845e5dcf41fd8963483f3d54db1f04f2c0be725ed012dde27b9fca2488",
-                "md5": "96678293921e3b9a35f059cd4f7401d2",
-                "size": "787931272"
-            }
-        }
-    },
-    "cudnn_samples": {
-        "name": "NVIDIA cuDNN samples",
-        "license": "cudnn",
-        "license_path": "cudnn_samples/LICENSE.txt",
-        "version": "9.4.0.58",
-        "source": {
-            "relative_path": "cudnn_samples/source/cudnn_samples-source-9.4.0.58-archive.tar.xz",
-            "sha256": "623f7351b51ca8799e18026341f04bf20fc74d283a2f301763906a7bd12af735",
-            "md5": "f73b4203e9fff4d2df002bb1886f401f",
-            "size": "1664768"
-        }
-    }
-}

runtimes/cuda/libpjrt_cuda.BUILD.bazel

@@ -42,8 +42,8 @@ cc_import(
         "@libcufft//:cufft",
         "@libcusolver//:cusolver",
         "@libcusparse//:cusparse",
-        "@libnccl//:nccl",
         "@libnvjitlink//:nvjitlink",
+        "@nccl",
         "@zlib",
     ],
 )