test cu128 on ep_perf

onnxruntime/python/tools/tensorrt/perf/build/build_image.py

@@ -19,7 +19,7 @@ TRT_DOCKER_FILES = {
     "8.6_cuda11.8_cudnn8": "tools/ci_build/github/linux/docker/Dockerfile.ubuntu_cuda11_8_tensorrt8_6",
     "8.6_cuda12.3_cudnn9": "tools/ci_build/github/linux/docker/Dockerfile.ubuntu_cuda12_3_tensorrt8_6",
     "10.7_cuda11.8_cudnn8": "tools/ci_build/github/linux/docker/Dockerfile.ubuntu_cuda11_tensorrt10",
-    "10.7_cuda12.5_cudnn9": "tools/ci_build/github/linux/docker/Dockerfile.ubuntu_cuda12_tensorrt10",
+    "10.7_cuda12.8_cudnn9": "tools/ci_build/github/linux/docker/Dockerfile.ubuntu_cuda12_tensorrt10",
     "BIN": "tools/ci_build/github/linux/docker/Dockerfile.ubuntu_tensorrt_bin",
 }
 

tools/ci_build/github/azure-pipelines/linux-gpu-tensorrt-daily-perf-pipeline.yml

@@ -8,12 +8,12 @@ parameters:
 - name: TrtVersion
   displayName: TensorRT Version
   type: string
-  default: 10.7_cuda12.5_cudnn9
+  default: 10.7_cuda12.8_cudnn9
   values:
   - 8.6_cuda11.8_cudnn8
   - 8.6_cuda12.3_cudnn9
   - 10.7_cuda11.8_cudnn8
-  - 10.7_cuda12.5_cudnn9
+  - 10.7_cuda12.8_cudnn9
   - BIN
 
 - name: UseTensorrtOssParser

tools/ci_build/github/linux/docker/Dockerfile.ubuntu_cuda12_tensorrt10

@@ -5,7 +5,7 @@
 # Dockerfile to run ONNXRuntime with TensorRT integration
 
 # Build base image with required system packages
-FROM nvidia/cuda:12.5.1-cudnn-devel-ubuntu20.04 AS base
+FROM nvidia/cuda:12.8.0-cudnn-devel-ubuntu20.04 AS base
 
 # The local directory into which to build and install CMAKE
 ARG ONNXRUNTIME_LOCAL_CODE_DIR=/code