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docs: update DeepModeling domain to deepmodeling.com (#5111)
Update the DeepModeling domain from deepmodeling.org to deepmodeling.com. The former is no longer used. Generated by the task: njzjz-bot/njzjz-bot#23. <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **Documentation** * Updated documentation links to the correct domain across getting started guides and installation instructions. <sub>✏️ Tip: You can customize this high-level summary in your review settings.</sub> <!-- end of auto-generated comment: release notes by coderabbit.ai -->
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doc/getting-started/quick_start.ipynb

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"\n",
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"<img src=\"https://bohrium-example.oss-cn-zhangjiakou.aliyuncs.com/notebook/static/mdkit/DPMD_Time_and_Size_Scales.svg\" alt=\"Fig1\" style=\"zoom: 75%;\">\n",
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"\n",
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"For more detailed usage, you can refer to the [DeePMD-kit’s documentation](https://docs.deepmodeling.org/projects/deepmd/en/master/index.html) as a comprehensive reference.\n",
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"For more detailed usage, you can refer to the [DeePMD-kit’s documentation](https://docs.deepmodeling.com/projects/deepmd/en/master/index.html) as a comprehensive reference.\n",
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"\n",
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"In this case, the Deep Potential (DP) model was generated using the **DeePMD-kit package**.\n",
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"\n"
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"id": "7b0edb0f-df47-4e6c-8c37-5f32c4bd6b39",
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"metadata": {},
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"source": [
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"More detailed docs about Data conversion can be found [here](https://docs.deepmodeling.org/projects/deepmd/en/master/data/data-conv.html)"
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"More detailed docs about Data conversion can be found [here](https://docs.deepmodeling.com/projects/deepmd/en/master/data/data-conv.html)"
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]
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},
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{

doc/install/install-from-source.md

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pip install --upgrade tensorflow-cpu
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```
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One can also [use conda](https://docs.deepmodeling.org/faq/conda.html) to install TensorFlow from [conda-forge](https://conda-forge.org).
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One can also [use conda](https://docs.deepmodeling.com/faq/conda.html) to install TensorFlow from [conda-forge](https://conda-forge.org).
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To verify the installation, run
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Follow [PyTorch documentation](https://pytorch.org/get-started/locally/) to install PyTorch built against different CUDA versions or without CUDA.
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One can also [use conda](https://docs.deepmodeling.org/faq/conda.html) to install PyTorch from [conda-forge](https://conda-forge.org).
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One can also [use conda](https://docs.deepmodeling.com/faq/conda.html) to install PyTorch from [conda-forge](https://conda-forge.org).
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:::
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One can also install packages in JAX AI Stack manually.
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Follow [JAX documentation](https://jax.readthedocs.io/en/latest/installation.html) to install JAX built against different CUDA versions or without CUDA.
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One can also [use conda](https://docs.deepmodeling.org/faq/conda.html) to install JAX from [conda-forge](https://conda-forge.org).
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One can also [use conda](https://docs.deepmodeling.com/faq/conda.html) to install JAX from [conda-forge](https://conda-forge.org).
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:::
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You must enable at least one backend.
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If you enable two or more backends, these backend libraries must be built in a compatible way, e.g. using the same `_GLIBCXX_USE_CXX11_ABI` flag.
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We recommend using [conda packages](https://docs.deepmodeling.org/faq/conda.html) from [conda-forge](https://conda-forge.org), which are usually compatible to each other.
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We recommend using [conda packages](https://docs.deepmodeling.com/faq/conda.html) from [conda-forge](https://conda-forge.org), which are usually compatible to each other.
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::::{tab-set}
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