[None][fix] WAR for tensorrt depending on the archived nvidia-cuda-runtime-cu13 package (#8858)

Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>

Author: chzblych

jenkins/Build.groovy

@@ -454,7 +454,7 @@ def runLLMBuild(pipeline, buildFlags, tarName, is_linux_x86_64)
         pipArgs = ""
     }
 
-    if (tarName.contains("_CU12")) {
+    if (tarName.contains("CU12")) {
         trtllm_utils.llmExecStepWithRetry(pipeline, script: "cd ${LLM_ROOT} && sed -i '/^# .*<For CUDA 12\\.9>\$/ {s/^# //; n; s/^/# /}' requirements.txt && cat requirements.txt")
     }
     // install python package

jenkins/BuildDockerImage.groovy

@@ -586,7 +586,7 @@ pipeline {
                     catchError(buildResult: 'FAILURE', stageResult: 'FAILURE') {
                         container("python3") {
                             // Install wget
-                            trtllm_utils.llmExecStepWithRetry(this, script: "apt-get update && apt-get -y install wget")
+                            trtllm_utils.llmExecStepWithRetry(this, script: "apt-get update && apt-get install -y wget")
 
                             // Poll for build artifacts
                             def artifactBaseUrl = "https://urm.nvidia.com/artifactory/${UPLOAD_PATH}/"

jenkins/L0_MergeRequest.groovy

@@ -381,9 +381,7 @@ def preparation(pipeline, testFilter, globalVars)
 def launchReleaseCheck(pipeline)
 {
     stages = {
-        trtllm_utils.llmExecStepWithRetry(pipeline, script: """apt-get update && apt-get install \
-            python3-pip \
-            -y""")
+        trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get update && apt-get install -y python3-pip")
         sh "pip3 config set global.break-system-packages true"
         sh "git config --global --add safe.directory \"*\""
         // Step 1: Clone TRT-LLM source codes

jenkins/L0_Test.groovy

@@ -1064,8 +1064,7 @@ def runLLMDocBuild(pipeline, config)
     trtllm_utils.llmExecStepWithRetry(pipeline, script: "cd ${llmPath} && pip3 install --force-reinstall --no-deps TensorRT-LLM/tensorrt_llm-*.whl")
 
     // Step 3: build doc
-    trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get update")
-    trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get install doxygen python3-pip graphviz -y")
+    trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get update && apt-get install -y doxygen python3-pip graphviz")
 
     def containerPATH = sh(script: "echo \${PATH}", returnStdout: true).replaceAll("\\s", "")
     if (!containerPATH.contains("/usr/local/bin:")) {
@@ -1104,9 +1103,7 @@ def launchTestListCheck(pipeline)
     trtllm_utils.launchKubernetesPod(pipeline, createKubernetesPodConfig(LLM_DOCKER_IMAGE, "a10"), "trt-llm", {
         try {
             echoNodeAndGpuInfo(pipeline, stageName)
-            trtllm_utils.llmExecStepWithRetry(pipeline, script: """apt-get update && apt-get install \
-            libffi-dev \
-            -y""")
+            trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get update && apt-get install -y libffi-dev")
             sh "nvidia-smi && nvidia-smi -q && nvidia-smi topo -m"
             // download TRT-LLM tarfile
             def tarName = BUILD_CONFIGS[VANILLA_CONFIG][TARNAME]
@@ -1527,8 +1524,7 @@ def runLLMTestlistOnPlatformImpl(pipeline, platform, testList, config=VANILLA_CO
         // setup HF_HOME to cache model and datasets
         // init the huggingface cache from nfs, since the nfs is read-only, and HF_HOME needs to be writable, otherwise it will fail at creating file lock
         sh "mkdir -p ${HF_HOME} && ls -alh ${HF_HOME}"
-        trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get update")
-        trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get install -y rsync")
+        trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get update && apt-get install -y rsync")
         trtllm_utils.llmExecStepWithRetry(pipeline, script: "rsync -r ${MODEL_CACHE_DIR}/hugging-face-cache/ ${HF_HOME}/ && ls -lh ${HF_HOME}")
         sh "df -h"
 
@@ -2379,8 +2375,7 @@ def launchTestJobs(pipeline, testFilter)
                         if (values[5] == DLFW_IMAGE || values[5] == DLFW_IMAGE_12_9) {
                             trtllm_utils.llmExecStepWithRetry(pipeline, script: "[ -f /etc/pip/constraint.txt ] && : > /etc/pip/constraint.txt || true")
                         }
-                        trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get update")
-                        trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get -y install python3-pip git rsync curl wget")
+                        trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get update && apt-get install -y python3-pip git rsync curl wget")
                         trtllm_utils.checkoutSource(LLM_REPO, env.gitlabCommit, LLM_ROOT, true, true)
                         trtllm_utils.llmExecStepWithRetry(pipeline, script: "pip3 config set global.break-system-packages true")
                         trtllm_utils.llmExecStepWithRetry(pipeline, script: "pip3 install requests")
@@ -2390,11 +2385,10 @@ def launchTestJobs(pipeline, testFilter)
                             def platform = cpu_arch == X86_64_TRIPLE ? "x86_64" : "sbsa"
                             trtllm_utils.llmExecStepWithRetry(pipeline, script: "wget https://developer.download.nvidia.com/compute/cuda/repos/${ubuntu_version}/${platform}/cuda-keyring_1.1-1_all.deb")
                             trtllm_utils.llmExecStepWithRetry(pipeline, script: "dpkg -i cuda-keyring_1.1-1_all.deb")
-                            trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get update")
                             if (key.contains("CU12")) {
-                                trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get -y install cuda-toolkit-12-9")
+                                trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get update && apt-get install -y cuda-toolkit-12-9")
                             } else {
-                                trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get -y install cuda-toolkit-13-0")
+                                trtllm_utils.llmExecStepWithRetry(pipeline, script: "apt-get update && apt-get install -y cuda-toolkit-13-0")
                             }
                         }
                         if (key.contains("CU12")) {

requirements.txt

@@ -21,6 +21,8 @@ pandas
 h5py==3.12.1
 StrEnum
 sentencepiece>=0.1.99
+# WAR for tensorrt depending on the archived nvidia-cuda-runtime-cu13 package
+nvidia-cuda-runtime-cu13==0.0.0a0
 # tensorrt~=10.11.0  # <For CUDA 12.9>
 tensorrt~=10.13.0
 # https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-25-08.html#rel-25-08 uses 2.8.0a0.