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Update PaddlePaddle options in docs #501

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Aug 5, 2024
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Update PaddlePaddle options in docs #501

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af25c9a
Update PaddlePaddle options in install.rst
xiao312 Aug 5, 2024
15228d2
Update PaddlePaddle examples in examples.rst
xiao312 Aug 5, 2024
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2 changes: 1 addition & 1 deletion docs/source/qs/examples.rst
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Expand Up @@ -38,7 +38,7 @@ If you plot PyTorch's result together with CVODE's result, the graph is expected

Visualisation of 0D results from PyTorch and CVODE integrators


.. Note:: If you prefer using the PaddlePaddle framework, you can refer to examples stored in `$HOME/deepflame-dev/examples/dfLowMachFoam/paddle`.

DeepFlame without DNN
------------------------------
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6 changes: 5 additions & 1 deletion docs/source/qs/install.rst
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Expand Up @@ -151,7 +151,7 @@ Finally you can build and install DeepFlame:

Other Options
-------------------------------
DeepFlame also provides users with full GPU version and CVODE (no DNN version) options.
DeepFlame also provides users with full GPU version, CVODE (no DNN version) and PaddlePaddle options.

**1. If you just need DeepFlame's CVODE solver without DNN model, just install LibCantera via** `conda <https://docs.conda.io/en/latest/miniconda.html#linux-installers>`_.

Expand Down Expand Up @@ -236,3 +236,7 @@ Compilition of solvers are separated. Choose the solver you want to use and then
cmake -B build
cd build
make install

**4. If you prefer using the PaddlePaddle framework for DNN model training and inference:**

Please ensure that PaddlePaddle has been successfully installed. You can refer to the official `PaddlePaddle <https://www.paddlepaddle.org.cn/>`_ website for installation instructions.
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