bump to trt10.7

Author: zewenli98

.github/scripts/generate-tensorrt-test-matrix.py

@@ -66,7 +66,7 @@
         "10.7.0": {
             "urls": "https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.7.0/tars/TensorRT-10.7.0.23.Linux.x86_64-gnu.cuda-12.6.tar.gz",
             "strip_prefix": "TensorRT-10.7.0.23",
-            "sha256": "27d0f7e9af657b9fa19bfe9d62376d4de64182ed6274bde04bf143f56d308ec9",
+            "sha256": "d7f16520457caaf97ad8a7e94d802f89d77aedf9f361a255f2c216e2a3a40a11",
         },
     },
 }

MODULE.bazel

@@ -79,20 +79,20 @@ http_archive(
 http_archive(
     name = "tensorrt",
     build_file = "@//third_party/tensorrt/archive:BUILD",
-    sha256 = "adff1cd5abe5d87013806172351e58fd024e5bf0fc61d49ef4b84cd38ed99081",
-    strip_prefix = "TensorRT-10.3.0.26",
+    sha256 = "d7f16520457caaf97ad8a7e94d802f89d77aedf9f361a255f2c216e2a3a40a11",
+    strip_prefix = "TensorRT-10.7.0.23",
     urls = [
-        "https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.3.0/tars/TensorRT-10.3.0.26.Linux.x86_64-gnu.cuda-12.5.tar.gz",
+        "https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.7.0/tars/TensorRT-10.7.0.23.Linux.x86_64-gnu.cuda-12.6.tar.gz",
     ],
 )
 
 http_archive(
     name = "tensorrt_win",
     build_file = "@//third_party/tensorrt/archive:BUILD",
-    sha256 = "2bb4bcb79e8c33575816d874b0512ea28c302af1c06ee6d224da71aa182f75e0",
-    strip_prefix = "TensorRT-10.3.0.26",
+    sha256 = "fbdef004578e7ccd5ee51fe7f846b57422364a743372fd8f9f1d7dbd33f62879",
+    strip_prefix = "TensorRT-10.7.0.23",
     urls = [
-        "https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.3.0/zip/TensorRT-10.3.0.26.Windows.win10.cuda-12.5.zip",
+        "https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.7.0/zip/TensorRT-10.7.0.23.Windows.win10.cuda-12.6.zip",
     ],
 )
 

README.md

@@ -7,7 +7,7 @@ Torch-TensorRT
 [![Documentation](https://img.shields.io/badge/docs-master-brightgreen)](https://nvidia.github.io/Torch-TensorRT/)
 [![pytorch](https://img.shields.io/badge/PyTorch-2.4-green)](https://www.python.org/downloads/release/python-31013/)
 [![cuda](https://img.shields.io/badge/CUDA-12.4-green)](https://developer.nvidia.com/cuda-downloads)
-[![trt](https://img.shields.io/badge/TensorRT-10.3.0-green)](https://github.com/nvidia/tensorrt-llm)
+[![trt](https://img.shields.io/badge/TensorRT-10.7.0-green)](https://github.com/nvidia/tensorrt-llm)
 [![license](https://img.shields.io/badge/license-BSD--3--Clause-blue)](./LICENSE)
 [![linux_tests](https://github.com/pytorch/TensorRT/actions/workflows/build-test-linux.yml/badge.svg)](https://github.com/pytorch/TensorRT/actions/workflows/build-test-linux.yml)
 [![windows_tests](https://github.com/pytorch/TensorRT/actions/workflows/build-test-windows.yml/badge.svg)](https://github.com/pytorch/TensorRT/actions/workflows/build-test-windows.yml)
@@ -119,7 +119,7 @@ These are the following dependencies used to verify the testcases. Torch-TensorR
 - Bazel 6.3.2
 - Libtorch 2.5.0.dev (latest nightly) (built with CUDA 12.4)
 - CUDA 12.4
-- TensorRT 10.3.0.26
+- TensorRT 10.7.0.23
 
 ## Deprecation Policy
 

dev_dep_versions.yml

@@ -1,2 +1,2 @@
 __cuda_version__: "12.4"
-__tensorrt_version__: "10.3.0"
+__tensorrt_version__: "10.7.0"

packaging/pre_build_script_windows.sh

@@ -23,7 +23,7 @@ if [[ "${CU_VERSION::4}" < "cu12" ]]; then
          pyproject.toml
 fi
 
-#curl -Lo TensorRT.zip https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.3.0/zip/TensorRT-10.3.0.26.Windows.win10.cuda-12.5.zip
+#curl -Lo TensorRT.zip https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.7.0/zip/TensorRT-10.7.0.23.Windows.win10.cuda-12.6.zip
 #unzip -o TensorRT.zip -d C:/
 TORCH_TORCHVISION=$(grep "^torch" py/requirements.txt)
 INDEX_URL=https://download.pytorch.org/whl/${CHANNEL}/${CU_VERSION}

packaging/smoke_test_script.sh

@@ -2,5 +2,5 @@
 # The issue was smoke test installs the built torch_tensorrt wheel file and checks `import torch_tensorrt; print(torch_tensorrt.__version__)`
 # Since tensorrt cannot be pip installable in CI, the smoke test will fail.
 # One way we tried to handle it is manually install tensorrt wheel while by extracting from the tarball.
-# However, the TensorRT-10.3.0.26/lib path doesn't seem to show up in LD_LIBRARY_PATH even if we explicitly set it.
+# However, the TensorRT-10.7.0.23/lib path doesn't seem to show up in LD_LIBRARY_PATH even if we explicitly set it.
 # TODO: Implement a custom smoke_test script to verify torch_tensorrt installation.

py/ci/Dockerfile.ci

@@ -3,13 +3,14 @@ FROM pytorch/manylinux2_28-builder:cuda12.6
 RUN yum install -y ninja-build
 
 # download TensorRT tarball
-RUN wget -q https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.3.0/tars/TensorRT-10.3.0.26.Linux.x86_64-gnu.cuda-12.5.tar.gz \
-&& gunzip TensorRT-10.3.0.26.Linux.x86_64-gnu.cuda-12.5.tar.gz \
-&& tar -xvf TensorRT-10.3.0.26.Linux.x86_64-gnu.cuda-12.5.tar \
-&& rm TensorRT-10.3.0.26.Linux.x86_64-gnu.cuda-12.5.tar
+RUN wget -q https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.7.0/tars/TensorRT-10.7.0.23.Linux.x86_64-gnu.cuda-12.6.tar.gz \
+&& gunzip TensorRT-10.7.0.23.Linux.x86_64-gnu.cuda-12.6.tar.gz \
+&& tar -xvf TensorRT-10.7.0.23.Linux.x86_64-gnu.cuda-12.6.tar \
+&& rm TensorRT-10.7.0.23.Linux.x86_64-gnu.cuda-12.6.tar
 
-ENV TENSORRT_DIR=/TensorRT-10.3.0.26
-ENV TENSORRT_VERSION=10.3.0
+ENV TENSORRT_DIR=/TensorRT-10.7.0.23
+ENV TENSORRT_VERSION=10.7.0
+ENV USE_CXX11_ABI=1
 
 RUN wget https://github.com/bazelbuild/bazelisk/releases/download/v1.17.0/bazelisk-linux-amd64 \
     && mv bazelisk-linux-amd64 /usr/bin/bazel \

pyproject.toml

@@ -8,7 +8,7 @@ requires = [
     "cffi>=1.15.1",
     "typing-extensions>=4.7.0",
     "future>=0.18.3",
-    "tensorrt-cu12==10.3.0",
+    "tensorrt-cu12==10.7.0",
     "torch>=2.6.0.dev,<2.7.0",
     "pybind11==2.6.2",
     "numpy",
@@ -55,9 +55,9 @@ keywords = [
 ]
 dependencies = [
     "torch>=2.6.0.dev,<2.7.0",
-    "tensorrt-cu12==10.3.0",
-    "tensorrt-cu12-bindings==10.3.0",
-    "tensorrt-cu12-libs==10.3.0",
+    "tensorrt-cu12==10.7.0",
+    "tensorrt-cu12-bindings==10.7.0",
+    "tensorrt-cu12-libs==10.7.0",
     "packaging>=23",
     "numpy",
     "typing-extensions>=4.7.0",

toolchains/ci_workspaces/MODULE.bazel.tmpl

@@ -67,20 +67,20 @@ http_archive(
 http_archive(
     name = "tensorrt",
     build_file = "@//third_party/tensorrt/archive:BUILD",
-    sha256 = "adff1cd5abe5d87013806172351e58fd024e5bf0fc61d49ef4b84cd38ed99081",
-    strip_prefix = "TensorRT-10.3.0.26",
+    sha256 = "d7f16520457caaf97ad8a7e94d802f89d77aedf9f361a255f2c216e2a3a40a11",
+    strip_prefix = "TensorRT-10.7.0.23",
     urls = [
-        "https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.3.0/tars/TensorRT-10.3.0.26.Linux.x86_64-gnu.cuda-12.5.tar.gz",
+        "https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.7.0/tars/TensorRT-10.7.0.23.Linux.x86_64-gnu.cuda-12.6.tar.gz",
     ],
 )
 
 http_archive(
     name = "tensorrt_win",
     build_file = "@//third_party/tensorrt/archive:BUILD",
-    sha256 = "2bb4bcb79e8c33575816d874b0512ea28c302af1c06ee6d224da71aa182f75e0",
-    strip_prefix = "TensorRT-10.3.0.26",
+    sha256 = "fbdef004578e7ccd5ee51fe7f846b57422364a743372fd8f9f1d7dbd33f62879",
+    strip_prefix = "TensorRT-10.7.0.23",
     urls = [
-        "https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.3.0/zip/TensorRT-10.3.0.26.Windows.win10.cuda-12.5.zip",
+        "https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.7.0/zip/TensorRT-10.7.0.23.Windows.win10.cuda-12.6.zip",
     ],
 )
 

toolchains/legacy/WORKSPACE.win.release.tmpl

@@ -63,7 +63,7 @@ http_archive(
 
 new_local_repository(
    name = "tensorrt_win",
-   path = "C:/TensorRT-10.3.0.26",
+   path = "C:/TensorRT-10.7.0.23",
    build_file = "@//third_party/tensorrt/local:BUILD"
 )