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minor fixes

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This commit is contained in:
Fangjun Kuang 2024-06-12 15:38:23 +08:00
parent 0a244463c3
commit 68e202c52a
4 changed files with 14 additions and 6 deletions
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8
docs/source/docker/intro.rst
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@ -34,6 +34,14 @@ which will give you something like below:
.. code-block:: bash .. code-block:: bash
"torch2.3.1-cuda12.1"
"torch2.3.1-cuda11.8"
"torch2.2.2-cuda12.1"
"torch2.2.2-cuda11.8"
"torch2.2.1-cuda12.1"
"torch2.2.1-cuda11.8"
"torch2.2.0-cuda12.1"
"torch2.2.0-cuda11.8"
"torch2.1.0-cuda12.1" "torch2.1.0-cuda12.1"
"torch2.1.0-cuda11.8" "torch2.1.0-cuda11.8"
"torch2.0.0-cuda11.7" "torch2.0.0-cuda11.7"

4
docs/source/model-export/export-ncnn-conv-emformer.rst
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@ -15,8 +15,8 @@ We will show you step by step how to export it to `ncnn`_ and run it with `sherp
.. caution:: .. caution::
Please use a more recent version of PyTorch. For instance, ``torch 1.8`` ``torch > 2.0`` may not work. If you get errors while building pnnx, please switch
may ``not`` work. to ``torch < 2.0``.
1. Download the pre-trained model 1. Download the pre-trained model
--------------------------------- ---------------------------------

4
docs/source/model-export/export-ncnn-lstm.rst
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@ -15,8 +15,8 @@ We will show you step by step how to export it to `ncnn`_ and run it with `sherp
.. caution:: .. caution::
Please use a more recent version of PyTorch. For instance, ``torch 1.8`` ``torch > 2.0`` may not work. If you get errors while building pnnx, please switch
may ``not`` work. to ``torch < 2.0``.
1. Download the pre-trained model 1. Download the pre-trained model
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

4
docs/source/model-export/export-ncnn-zipformer.rst
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@ -15,8 +15,8 @@ We will show you step by step how to export it to `ncnn`_ and run it with `sherp
.. caution:: .. caution::
Please use a more recent version of PyTorch. For instance, ``torch 1.8`` ``torch > 2.0`` may not work. If you get errors while building pnnx, please switch
may ``not`` work. to ``torch < 2.0``.
1. Download the pre-trained model 1. Download the pre-trained model
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^