From b5d47a205e68e5c08a29dc82b5d7f560aa3c0649 Mon Sep 17 00:00:00 2001 From: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com> Date: Mon, 25 May 2026 07:23:15 +0000 Subject: [PATCH] [https://nvbugs/6215684][fix] Fix invalid links in deployment guide Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com> --- .../deployment-guide-for-deepseek-r1-on-trtllm.md | 2 +- .../deployment-guide/deployment-guide-for-glm-5-on-trtllm.md | 2 +- .../deployment-guide/deployment-guide-for-gpt-oss-on-trtllm.md | 2 +- .../deployment-guide-for-llama3.3-70b-on-trtllm.md | 2 +- .../deployment-guide-for-llama4-scout-on-trtllm.md | 2 +- .../deployment-guide-for-nemotron-3-super-on-trtllm.md | 2 +- tests/integration/test_lists/waives.txt | 1 - 7 files changed, 6 insertions(+), 7 deletions(-) diff --git a/docs/source/deployment-guide/deployment-guide-for-deepseek-r1-on-trtllm.md b/docs/source/deployment-guide/deployment-guide-for-deepseek-r1-on-trtllm.md index 6ee9c8300d93..1a948213246e 100644 --- a/docs/source/deployment-guide/deployment-guide-for-deepseek-r1-on-trtllm.md +++ b/docs/source/deployment-guide/deployment-guide-for-deepseek-r1-on-trtllm.md @@ -58,7 +58,7 @@ Note: * The command also maps port `8000` from the container to your host so you can access the LLM API endpoint from your host * See the for all the available containers. The containers published in the main branch weekly have `rcN` suffix, while the monthly release with QA tests has no `rcN` suffix. Use the `rc` release to get the latest model and feature support. -If you want to use latest main branch, you can choose to build from source to install TensorRT LLM, the steps refer to [https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source-linux.html](https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source-linux.html) +If you want to use latest main branch, you can choose to build from source to install TensorRT LLM, the steps refer to [https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source.html](https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source.html) ### Recommended Performance Settings diff --git a/docs/source/deployment-guide/deployment-guide-for-glm-5-on-trtllm.md b/docs/source/deployment-guide/deployment-guide-for-glm-5-on-trtllm.md index cf83aee1ad1f..30d9b9eb13ee 100644 --- a/docs/source/deployment-guide/deployment-guide-for-glm-5-on-trtllm.md +++ b/docs/source/deployment-guide/deployment-guide-for-glm-5-on-trtllm.md @@ -63,7 +63,7 @@ Note: * The command maps port `8000` from the container to your host so you can access the LLM API endpoint from your host. * See for all available containers. Containers published in the main branch weekly have an `rcN` suffix, while the monthly release with QA tests has no `rcN` suffix. Use the `rc` release to get the latest model and feature support. -If you want to use the latest main branch, you can build from source: [https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source-linux.html](https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source-linux.html) +If you want to use the latest main branch, you can build from source: [https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source.html](https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source.html) > **All commands below should be run inside the Docker container.** diff --git a/docs/source/deployment-guide/deployment-guide-for-gpt-oss-on-trtllm.md b/docs/source/deployment-guide/deployment-guide-for-gpt-oss-on-trtllm.md index fb784f846bd1..933dcd333474 100644 --- a/docs/source/deployment-guide/deployment-guide-for-gpt-oss-on-trtllm.md +++ b/docs/source/deployment-guide/deployment-guide-for-gpt-oss-on-trtllm.md @@ -54,7 +54,7 @@ Note: * The command also maps port `8000` from the container to your host so you can access the LLM API endpoint from your host * See the for all the available containers. The containers published in the main branch weekly have `rcN` suffix, while the monthly release with QA tests has no `rcN` suffix. Use the `rc` release to get the latest model and feature support. -If you want to use latest main branch, you can choose to build from source to install TensorRT-LLM, the steps refer to . +If you want to use latest main branch, you can choose to build from source to install TensorRT-LLM, the steps refer to . ### Recommended Performance Settings diff --git a/docs/source/deployment-guide/deployment-guide-for-llama3.3-70b-on-trtllm.md b/docs/source/deployment-guide/deployment-guide-for-llama3.3-70b-on-trtllm.md index 6f334efdd251..ce4cd54455de 100644 --- a/docs/source/deployment-guide/deployment-guide-for-llama3.3-70b-on-trtllm.md +++ b/docs/source/deployment-guide/deployment-guide-for-llama3.3-70b-on-trtllm.md @@ -50,7 +50,7 @@ Note: * The command also maps port **8000** from the container to your host so you can access the LLM API endpoint from your host * See the [https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tensorrt-llm/containers/release/tags](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tensorrt-llm/containers/release/tags) for all the available containers. The containers published in the main branch weekly have “rcN” suffix, while the monthly release with QA tests has no “rcN” suffix. Use the rc release to get the latest model and feature support. -If you want to use latest main branch, you can choose to build from source to install TensorRT LLM, the steps refer to [https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source-linux.html](https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source-linux.html) +If you want to use latest main branch, you can choose to build from source to install TensorRT LLM, the steps refer to [https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source.html](https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source.html) ### Recommended Performance Settings diff --git a/docs/source/deployment-guide/deployment-guide-for-llama4-scout-on-trtllm.md b/docs/source/deployment-guide/deployment-guide-for-llama4-scout-on-trtllm.md index 9fe91bd45473..157bab3bab86 100644 --- a/docs/source/deployment-guide/deployment-guide-for-llama4-scout-on-trtllm.md +++ b/docs/source/deployment-guide/deployment-guide-for-llama4-scout-on-trtllm.md @@ -49,7 +49,7 @@ Note: * The command also maps port `8000` from the container to your host so you can access the LLM API endpoint from your host * See the for all the available containers. The containers published in the main branch weekly have `rcN` suffix, while the monthly release with QA tests has no `rcN` suffix. Use the `rc` release to get the latest model and feature support. -If you want to use latest main branch, you can choose to build from source to install TensorRT LLM, the steps refer to [https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source-linux.html](https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source-linux.html) +If you want to use latest main branch, you can choose to build from source to install TensorRT LLM, the steps refer to [https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source.html](https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source.html) ### Recommended Performance Settings diff --git a/docs/source/deployment-guide/deployment-guide-for-nemotron-3-super-on-trtllm.md b/docs/source/deployment-guide/deployment-guide-for-nemotron-3-super-on-trtllm.md index b84449a6de27..ac0ddcf279d5 100644 --- a/docs/source/deployment-guide/deployment-guide-for-nemotron-3-super-on-trtllm.md +++ b/docs/source/deployment-guide/deployment-guide-for-nemotron-3-super-on-trtllm.md @@ -53,7 +53,7 @@ Note: * The command also maps port `8000` from the container to your host so you can access the LLM API endpoint from your host. * See the for all the available containers. The containers published in the main branch weekly have `rcN` suffix, while the monthly release with QA tests has no `rcN` suffix. Use the `rc` release to get the latest model and feature support. -If you want to use latest main branch, you can choose to build from source to install TensorRT LLM, the steps refer to [https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source-linux.html](https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source-linux.html) +If you want to use latest main branch, you can choose to build from source to install TensorRT LLM, the steps refer to [https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source.html](https://nvidia.github.io/TensorRT-LLM/latest/installation/build-from-source.html) ### Recommended Performance Settings diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 27b22bb1b4f1..50c3515c91b2 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -348,7 +348,6 @@ stress_test/stress_test.py::test_run_stress_test[DeepSeek-V3_tp8-stress_time_360 stress_test/stress_test.py::test_run_stress_test[DeepSeek-V3_tp8-stress_time_3600s_timeout_10800s-MAX_UTILIZATION-pytorch-stress-test-with-accuracy] SKIP (https://nvbugs/6143599) stress_test/stress_test.py::test_run_stress_test[llama-v3-8b-instruct-hf_tp1-stress_time_300s_timeout_450s-GUARANTEED_NO_EVICT-pytorch-stress-test] SKIP (https://nvbugs/6215678) stress_test/stress_test.py::test_run_stress_test[llama-v3-8b-instruct-hf_tp1-stress_time_300s_timeout_450s-MAX_UTILIZATION-pytorch-stress-test] SKIP (https://nvbugs/6215678) -test_doc.py::test_url_validity SKIP (https://nvbugs/6215684) test_e2e.py::test_draft_token_tree_quickstart_advanced_eagle3[Llama-3.1-8b-Instruct-llama-3.1-model/Llama-3.1-8B-Instruct-EAGLE3-LLaMA3.1-Instruct-8B] SKIP (https://nvbugs/5989907) test_e2e.py::test_draft_token_tree_quickstart_advanced_eagle3_depth_1_tree[Llama-3.1-8b-Instruct-llama-3.1-model/Llama-3.1-8B-Instruct-EAGLE3-LLaMA3.1-Instruct-8B] SKIP (https://nvbugs/5989907) test_e2e.py::test_multi_nodes_eval[DeepSeek-R1/DeepSeek-R1-0528-FP4-tp16-mmlu] SKIP (https://nvbugs/6114608)