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Fix PyTorch training benchmark doc template (#5357)
* fix template * update wordlist
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@@ -622,6 +622,7 @@ coalescable
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codename
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collater
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comgr
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compat
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completers
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composable
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concretization
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@@ -783,6 +784,7 @@ lossy
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macOS
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matchers
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maxtext
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megablocks
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megatron
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microarchitecture
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migraphx
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@@ -941,6 +943,7 @@ softmax
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spack
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spmm
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src
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stanford
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stochastically
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strided
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subcommand
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@@ -164,20 +164,20 @@ Run training
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{% for model_group in model_groups %}
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{% for model in model_group.models %}
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The following run command is tailored to {{ model.model }}.
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See :ref:`amd-pytorch-training-model-support` to switch to another available model.
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1. Clone the ROCm Model Automation and Dashboarding (`<https://github.com/ROCm/MAD>`__) repository to a local
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directory and install the required packages on the host machine.
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.. code-block:: shell
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git clone https://github.com/ROCm/MAD
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cd MAD
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pip install -r requirements.txt
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.. container:: model-doc {{ model.mad_tag }}
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The following run command is tailored to {{ model.model }}.
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See :ref:`amd-pytorch-training-model-support` to switch to another available model.
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1. Clone the ROCm Model Automation and Dashboarding (`<https://github.com/ROCm/MAD>`__) repository to a local
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directory and install the required packages on the host machine.
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.. code-block:: shell
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git clone https://github.com/ROCm/MAD
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cd MAD
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pip install -r requirements.txt
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2. For example, use this command to run the performance benchmark test on the {{ model.model }} model
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using one node with the {{ model.precision }} data type on the host machine.
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@@ -202,8 +202,10 @@ Run training
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{% for model_group in model_groups %}
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{% for model in model_group.models %}
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The following commands are tailored to {{ model.model }}.
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See :ref:`amd-pytorch-training-model-support` to switch to another available model.
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.. container:: model-doc {{ model.mad_tag }}
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The following commands are tailored to {{ model.model }}.
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See :ref:`amd-pytorch-training-model-support` to switch to another available model.
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{% endfor %}
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{% endfor %}
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