Update dockerfile versions

Author: mc-nv

dockerfile/Dockerfile.triton.trt_llm_backend

@@ -1,24 +1,24 @@
 ARG BASE_IMAGE=nvcr.io/nvidia/tritonserver:25.10-py3-min
 ARG PYTORCH_IMAGE=nvcr.io/nvidia/pytorch:25.10-py3
 ARG NVRTC_VER=13.0.48-1
-ARG TRT_VER=10.13.2.6
+ARG TRT_VER=10.13.3.9
 ARG NCCL_VER=2.27.7-1+cuda13.0
-ARG RELEASE_URL_TRT_x86=https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.13.2/tars/TensorRT-${TRT_VER}.Linux.x86_64-gnu.cuda-13.0.tar.gz
-ARG RELEASE_URL_TRT_ARM=https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.13.2/tars/TensorRT-${TRT_VER}.Linux.aarch64-gnu.cuda-13.0.tar.gz
+ARG RELEASE_URL_TRT_x86=https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.13.3/tars/TensorRT-${TRT_VER}.Linux.x86_64-gnu.cuda-13.0.tar.gz
+ARG RELEASE_URL_TRT_ARM=https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.13.3/tars/TensorRT-${TRT_VER}.Linux.aarch64-gnu.cuda-13.0.tar.gz
 
 # Versions of packages to copy from pytorch image
-ARG TORCH_VER=2.8.0a0+34c6371d24.nv25.8
-ARG TORCHVISION_VER=0.23.0a0+428a54c9
-ARG SETUPTOOLS_VER=79.0.1
-ARG PYTORCH_TRITON_VER=3.3.1+gitc8757738
+ARG FLASH_ATTN_VER=2.7.4.post1+25.10
 ARG NETWORKX_VER=3.5
+ARG PACKAGING_VER=25.0
+ARG PYTORCH_TRITON_VER=3.4.0+gitc817b9b6
+ARG SETUPTOOLS_VER=79.0.1
 ARG SYMPY_VER=1.14.0
-ARG PACKAGING_VER=23.2
-ARG FLASH_ATTN_VER=2.7.4.post1
+ARG TORCH_VER=2.9.0a0+145a3a7bda.nv25.10
+ARG TORCHVISION_VER=0.24.0a0+094e7af5
 
 ARG TENSORRTLLM_REPO=https://github.com/NVIDIA/TensorRT-LLM.git
-ARG TENSORRTLLM_REPO_TAG=v1.2.0rc0
-ARG TENSORRTLLM_VER=1.2.0rc0
+ARG TENSORRTLLM_REPO_TAG=v1.2.0rc2
+ARG TENSORRTLLM_VER=1.2.0rc2
 
 FROM ${PYTORCH_IMAGE} AS pytorch_image
 FROM ${BASE_IMAGE} AS install_dependencies