mirror of
https://github.com/ROCm/ROCm.git
synced 2026-04-27 03:01:52 -04:00
Suppress certain pages in RTD search results (#6174)
* add `**/previous-versions/**` to RTD search ignore list
* add `:nosearch:` to archived pages
* rename :nosearch: to :no-search:
(cherry picked from commit 8686138dea)
This commit is contained in:
committed by
peterjunpark
parent
36f9dc9d89
commit
3ecda28ba8
@@ -20,3 +20,7 @@ build:
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- "doxygen"
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- "gfortran" # For pre-processing fortran sources
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- "graphviz" # For dot graphs in doxygen
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search:
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ignore:
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- "**/previous-versions/**"
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: Learn how to validate LLM inference performance on MI300X GPUs using AMD MAD and the
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: Learn how to validate LLM inference performance on MI300X accelerators using AMD MAD and the ROCm vLLM Docker image.
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: Learn how to validate LLM inference performance on MI300X GPUs using AMD MAD and the ROCm vLLM Docker image.
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@@ -479,4 +480,4 @@ Previous versions
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=================
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See :doc:`vllm-history` to find documentation for previous releases
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of the ``ROCm/vllm`` Docker image.
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of the ``ROCm/vllm`` Docker image.
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: Learn how to validate LLM inference performance on MI300X GPUs using AMD MAD and the ROCm vLLM Docker image.
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: Learn how to validate LLM inference performance on MI300X GPUs using AMD MAD and the unified
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: Learn how to validate LLM inference performance on MI300X GPUs using AMD MAD and the unified
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: Learn how to validate LLM inference performance on MI300X GPUs using AMD MAD and the
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: Learn how to validate LLM inference performance on MI300X GPUs using AMD MAD and the
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: Learn how to validate LLM inference performance on MI300X GPUs using AMD MAD and the
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: Learn how to validate LLM inference performance on MI300X GPUs using AMD MAD and the
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: Learn how to validate LLM inference performance on MI300X GPUs using AMD MAD and the
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: Learn how to validate LLM inference performance on MI300X GPUs using AMD MAD and the
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: Learn how to validate LLM inference performance on MI300X GPUs using AMD MAD and the
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: Learn how to validate LLM inference performance on MI300X GPUs using AMD MAD and the
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: Learn to validate diffusion model video generation on MI300X, MI350X and MI355X accelerators using
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: Learn to validate diffusion model video generation on MI300X, MI350X and MI355X accelerators using
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:orphan:
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:no-search:
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.. meta::
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:description: Learn to validate diffusion model video generation on MI300X, MI350X and MI355X accelerators using
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:orphan:
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:description: Learn to validate diffusion model video generation on MI300X, MI350X and MI355X accelerators using
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:description: Learn to validate diffusion model video generation on MI300X, MI350X and MI355X accelerators using
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:description: Learn to validate diffusion model video generation on MI300X, MI350X and MI355X accelerators using
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@@ -1,3 +1,6 @@
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.. meta::
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:description: Learn to validate diffusion model video generation on MI300X, MI350X and MI355X accelerators using
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prebuilt and optimized docker images.
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@@ -1,4 +1,5 @@
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:orphan:
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:no-search:
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.. meta::
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:description: How to train a model using JAX MaxText for ROCm.
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@@ -1,4 +1,5 @@
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:description: How to train a model using JAX MaxText for ROCm.
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:description: How to train a model using JAX MaxText for ROCm.
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:description: How to train a model using JAX MaxText for ROCm.
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*****************************************************************
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Migrating workloads to Primus (Megatron backend) from Megatron-LM
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:description: How to train a model using ROCm Megatron-LM
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:description: How to train a model using Megatron-LM for ROCm.
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:description: How to train a model using PyTorch for ROCm.
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:description: How to train a model using PyTorch for ROCm.
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Block a user