Fix PyTorch training benchmark doc template (#5357)

* fix template

* update wordlist
This commit is contained in:
Peter Park
2025-09-16 17:21:57 -04:00
committed by GitHub
parent 26f708da87
commit e8d104124f
2 changed files with 19 additions and 14 deletions

View File

@@ -622,6 +622,7 @@ coalescable
codename
collater
comgr
compat
completers
composable
concretization
@@ -783,6 +784,7 @@ lossy
macOS
matchers
maxtext
megablocks
megatron
microarchitecture
migraphx
@@ -941,6 +943,7 @@ softmax
spack
spmm
src
stanford
stochastically
strided
subcommand

View File

@@ -164,20 +164,20 @@ Run training
{% for model_group in model_groups %}
{% for model in model_group.models %}
The following run command is tailored to {{ model.model }}.
See :ref:`amd-pytorch-training-model-support` to switch to another available model.
1. Clone the ROCm Model Automation and Dashboarding (`<https://github.com/ROCm/MAD>`__) repository to a local
directory and install the required packages on the host machine.
.. code-block:: shell
git clone https://github.com/ROCm/MAD
cd MAD
pip install -r requirements.txt
.. container:: model-doc {{ model.mad_tag }}
The following run command is tailored to {{ model.model }}.
See :ref:`amd-pytorch-training-model-support` to switch to another available model.
1. Clone the ROCm Model Automation and Dashboarding (`<https://github.com/ROCm/MAD>`__) repository to a local
directory and install the required packages on the host machine.
.. code-block:: shell
git clone https://github.com/ROCm/MAD
cd MAD
pip install -r requirements.txt
2. For example, use this command to run the performance benchmark test on the {{ model.model }} model
using one node with the {{ model.precision }} data type on the host machine.
@@ -202,8 +202,10 @@ Run training
{% for model_group in model_groups %}
{% for model in model_group.models %}
The following commands are tailored to {{ model.model }}.
See :ref:`amd-pytorch-training-model-support` to switch to another available model.
.. container:: model-doc {{ model.mad_tag }}
The following commands are tailored to {{ model.model }}.
See :ref:`amd-pytorch-training-model-support` to switch to another available model.
{% endfor %}
{% endfor %}