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Merge pull request #641 from prbasyal-amd/711-docker-framework-update
711 Docker framework update [Develop]
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‎docs/install/3rd-party/dgl-install.rst‎

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@@ -28,7 +28,7 @@ To install DGL on ROCm, you have the following options:
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- :ref:`Build your own docker image <build-dgl-rocm-docker-image>`
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- :ref:`Use a wheels package <dgl-wheels-package>`
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.. _using-docker-with-dgl-pre-installed:
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.. _using-pre-docker-with-dgl-pre-installed:
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Use a prebuilt Docker image with DGL pre-installed
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--------------------------------------------------------------------------------

‎docs/install/3rd-party/jax-install.rst‎

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AMD validates and publishes ready-made JAX images with ROCm backends on Docker
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Hub. The following Docker image tags and associated inventories are validated
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for ROCm 7.0.0.
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for ROCm 7.1.1.
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For ``jax-community`` images, see `rocm/jax-community <https://hub.docker.com/r/rocm/jax-community/tags>`__ on Docker Hub.
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.. tab-set::
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.. code-block:: shell
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docker pull rocm/jax:rocm7.1-jax0.7.1-py3.12
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docker pull rocm/jax:rocm7.1.1-jax0.7.1-py3.12
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See
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``rocm/jax:rocm7.1-jax0.7.1-py3.12``
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``rocm/jax:rocm7.1.1-jax0.7.1-py3.12``
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on `Docker Hub
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<https://hub.docker.com/layers/rocm/jax/rocm7.1-jax0.7.1-py3.12/images/sha256-bc661fee582c591c4a9355e249afb912e8fd7dfe39f1fc02008821b1dc739bdf>`__.
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<https://hub.docker.com/layers/rocm/jax/rocm7.1.1-jax0.7.1-py3.12/images/sha256-1471f6853cde749d3bf06d35d94d7ca63d1fac5dbba9e6c884bb3cf6bb6f9ffa>`__.
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.. tab-item:: Python 3.11
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.. rubric:: Docker pull tag
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.. code-block:: shell
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docker pull rocm/jax:rocm7.1-jax0.7.1-py3.11
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docker pull rocm/jax:rocm7.1.1-jax0.7.1-py3.11
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See
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``rocm/jax:rocm7.1-jax0.7.1-py3.11``
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``rocm/jax:rocm7.1.1-jax0.7.1-py3.11``
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on `Docker Hub
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<https://hub.docker.com/layers/rocm/jax/rocm7.1-jax0.7.1-py3.11/images/sha256-7e923ebfc117b2028c63991bfa1fbe274150ea94513c9530ece783f1a2f8a65e>`__.
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<https://hub.docker.com/layers/rocm/jax/rocm7.1.1-jax0.7.1-py3.11/images/sha256-2359c120432df16e57468c52e6d164cc0db007cf385b97e48f2e244532176548>`__.
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.. _build-jax-rocm-docker-image:
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‎docs/install/3rd-party/previous-versions/dgl-install-v25.7.rst‎

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To install DGL on ROCm, you have the following options:
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- :ref:`Use the prebuilt Docker image <using-docker-with-dgl-pre-installed>` **(recommended)**
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- :ref:`Build your own docker image <build-dgl-rocm-docker-image>`
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- :ref:`Use the prebuilt Docker image <using-docker-with-dgl-pre-installed-v25-7>` **(recommended)**
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- :ref:`Build your own docker image <build-dgl-rocm-docker-image-v25-7>`
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.. _using-docker-with-dgl-pre-installed:
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.. _using-docker-with-dgl-pre-installed-v25-7:
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Use a prebuilt Docker image with DGL pre-installed
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the ``-v`` argument to mount any data directories from the host onto the container.
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.. _dgl-docker-support-v25-7:
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Docker image support
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* `Python 3.10.16 <https://www.python.org/downloads/release/python-31016/>`__
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* `PyTorch 2.3.0 <https://github.com/pytorch/pytorch/releases/tag/v2.3.0>`__
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.. _build-dgl-rocm-docker-image:
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.. _build-dgl-rocm-docker-image-v25-7:
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Build your own Docker image
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Test the DGL installation
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================================================================================
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To verify that DGL has been successfully installed, run the Docker container as described in the :ref:`installing DGL section <using-docker-with-dgl-pre-installed>`.
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To verify that DGL has been successfully installed, run the Docker container as described in the :ref:`installing DGL section <using-docker-with-dgl-pre-installed-v25-7>`.
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Once inside the container, ensure you have access to the Bash shell.
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To check for a shared library:

‎docs/install/3rd-party/previous-versions/llama-cpp-install-v25.8.rst‎

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* :ref:`using-docker-with-llama-cpp-pre-installed` **(recommended)**
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* :ref:`build-llama-cpp-docker-image`
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* :ref:`using-docker-with-llama-cpp-pre-installed-v25-8` **(recommended)**
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* :ref:`build-llama-cpp-docker-image-v25-8`
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.. _using-docker-with-llama-cpp-pre-installed:
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.. _using-docker-with-llama-cpp-pre-installed-v25-8:
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This will automatically download the image if it does not exist on the host. You can
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.. _llama-cpp-docker-support-v25-8:
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.. _build-llama-cpp-docker-image-v25-8:
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1. To verify that llama.cpp has been successfully installed, run the Docker container as described in :ref:`build-llama-cpp-docker-image-v25-8`.
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‎docs/install/3rd-party/previous-versions/llama-cpp-install-v25.9.rst‎

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* :ref:`build-llama-cpp-docker-image`
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* :ref:`using-docker-with-llama-cpp-pre-installed-v25-9` **(recommended)**
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* :ref:`build-llama-cpp-docker-image-v25-9`
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.. _using-docker-with-llama-cpp-pre-installed-v25-9:
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.. _llama-cpp-docker-support-v25-9:
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.. _build-llama-cpp-docker-image-v25-9:
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2. Once inside the container, ensure you have access to the Bash shell.
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