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new ce9065e1431 Publishing website 2026/09/15 23:43:48 at commit bdf650a
ce9065e1431 is described below
commit ce9065e1431e0dada073e409433ce642576fdc41
Author: runner <runner@main-runner-2404-9kmqn-8c4rn>
AuthorDate: Tue Sep 15 23:43:48 2026 +0000
Publishing website 2026/09/15 23:43:48 at commit bdf650a
---
.../documentation/ml/tensorrt-runinference/index.html | 8 ++++----
website/generated-content/sitemap.xml | 2 +-
2 files changed, 5 insertions(+), 5 deletions(-)
diff --git
a/website/generated-content/documentation/ml/tensorrt-runinference/index.html
b/website/generated-content/documentation/ml/tensorrt-runinference/index.html
index 6d4b32796cb..c8e1b8995b0 100644
---
a/website/generated-content/documentation/ml/tensorrt-runinference/index.html
+++
b/website/generated-content/documentation/ml/tensorrt-runinference/index.html
@@ -60,7 +60,7 @@ onnx_inputs, onnx_outputs = transformers.onnx.export(
output=Path("bert-sst2-model.onnx")
)
</code></pre><h3 id=from-onnx-to-tensorrt-engine>From ONNX to TensorRT
engine</h3><p>To convert an ONNX model to a TensorRT engine, use the following
command from the <code>CLI</code>:</p><pre tabindex=0><code>trtexec
--onnx=<path to onnx model> --saveEngine=<path to save TensorRT
engine> --useCudaGraph --verbose
-</code></pre><p>To use <code>trtexec</code>, follow the steps in the blog post
<a
href=https://developer.nvidia.com/blog/simplifying-and-accelerating-machine-learning-predictions-in-apache-beam-with-nvidia-tensorrt/>Simplifying
and Accelerating Machine Learning Predictions in Apache Beam with NVIDIA
TensorRT</a>. The post explains how to build a docker image from a DockerFile
that can be used for conversion. We use the following Docker file, which is
similar to the file used in the blog [...]
+</code></pre><p>To use <code>trtexec</code>, follow the steps in the blog post
<a
href=https://developer.nvidia.com/blog/simplifying-and-accelerating-machine-learning-predictions-in-apache-beam-with-nvidia-tensorrt/>Simplifying
and Accelerating Machine Learning Predictions in Apache Beam with NVIDIA
TensorRT</a>. The post explains how to build a docker image from a DockerFile
that can be used for conversion. We use the following Docker file, which is
similar to the file used in the blog [...]
FROM ${BUILD_IMAGE}
@@ -69,11 +69,11 @@ ENV PATH="/usr/src/tensorrt/bin:${PATH}"
WORKDIR /workspace
RUN apt-get update -y && apt-get install -y python3-venv
-RUN pip install --no-cache-dir apache-beam[gcp]==2.44.0
-COPY --from=apache/beam_python3.8_sdk:2.44.0 /opt/apache/beam /opt/apache/beam
+RUN pip install --no-cache-dir apache-beam[gcp]==2.76.0
+COPY --from=apache/beam_python3.12_sdk:2.76.0 /opt/apache/beam /opt/apache/beam
RUN pip install --upgrade pip \
- && pip install torch==1.13.1 \
+ && pip install torch==2.13.0 \
&& pip install torchvision>=0.8.2 \
&& pip install pillow>=8.0.0 \
&& pip install transformers>=4.18.0 \
diff --git a/website/generated-content/sitemap.xml
b/website/generated-content/sitemap.xml
index 6fbe012a0a3..8d1a53b39df 100644
--- a/website/generated-content/sitemap.xml
+++ b/website/generated-content/sitemap.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset
xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
xmlns:xhtml="http://www.w3.org/1999/xhtml"><url><loc>/blog/beam-2.76.0/</loc><lastmod>2026-09-15T13:20:00-04:00</lastmod></url><url><loc>/categories/blog/</loc><lastmod>2026-09-15T13:20:00-04:00</lastmod></url><url><loc>/blog/</loc><lastmod>2026-09-15T13:20:00-04:00</lastmod></url><url><loc>/categories/</loc><lastmod>2026-09-15T13:20:00-04:00</lastmod></url><url><loc>/catego
[...]
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset
xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
xmlns:xhtml="http://www.w3.org/1999/xhtml"><url><loc>/blog/beam-2.76.0/</loc><lastmod>2026-09-15T13:55:51-07:00</lastmod></url><url><loc>/categories/blog/</loc><lastmod>2026-09-15T13:55:51-07:00</lastmod></url><url><loc>/blog/</loc><lastmod>2026-09-15T13:55:51-07:00</lastmod></url><url><loc>/categories/</loc><lastmod>2026-09-15T13:55:51-07:00</lastmod></url><url><loc>/catego
[...]
\ No newline at end of file