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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/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:
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.. _dgl-docker-support-v25-7:
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Docker image support
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--------------------------------------------------------------------------------
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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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To install llama.cpp for ROCm, you have the following options:
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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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Use a prebuilt Docker image with llama.cpp pre-installed
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This will automatically download the image if it does not exist on the host. You can
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also pass the ``-v`` argument to mount any data directories from the host onto the container.
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.. _llama-cpp-docker-support:
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.. _llama-cpp-docker-support-v25-8:
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* `ROCm 6.4.0 <https://repo.radeon.com/rocm/apt/6.4/>`_
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.. _build-llama-cpp-docker-image:
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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`.
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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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2. Once inside the container, ensure you have access to the Bash shell.
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‎docs/install/3rd-party/previous-versions/llama-cpp-install-v25.9.rst‎

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To install llama.cpp for ROCm, you have the following options:
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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-v25-9` **(recommended)**
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* :ref:`build-llama-cpp-docker-image-v25-9`
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.. _using-docker-with-llama-cpp-pre-installed:
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.. _using-docker-with-llama-cpp-pre-installed-v25-9:
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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:
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.. _llama-cpp-docker-support-v25-9:
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* `ROCm 6.4.1 <https://repo.radeon.com/rocm/apt/6.4.1/>`__
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.. _build-llama-cpp-docker-image:
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.. _build-llama-cpp-docker-image-v25-9:
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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-v25-9`.
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‎docs/install/3rd-party/pytorch-install.rst‎

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.. tab-set::
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.. tab-item:: PyTorch 2.9.1
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.. tab-item:: PyTorch 2.9.1
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.. tab-set::
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.. tab-set::
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.. tab-item:: Python 3.12
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.. tab-item:: Python 3.12
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.. rubric:: Docker pull tag
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.. rubric:: Docker pull tag
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.. code-block:: shell
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.. code-block:: shell
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docker pull rocm/pytorch:rocm7.1.1_ubuntu24.04_py3.12_pytorch_release_2.9.1
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docker pull rocm/pytorch:rocm7.1.1_ubuntu24.04_py3.12_pytorch_release_2.9.1
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.. rubric:: Additional software components
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.. rubric:: Additional software components
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.. list-table::
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:header-rows: 1
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.. list-table::
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:header-rows: 1
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* - Ubuntu
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- Apex
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- torchvision
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- UCX
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- Open MPI
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* - Ubuntu
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- Apex
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- torchvision
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- UCX
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- Open MPI
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* - 24.04
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- `1.9.0+rocm7.1.1.git07c3ee53 <https://repo.radeon.com/rocm/manylinux/rocm-rel-7.1.1/>`__
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- `0.24.0 <https://github.com/pytorch/vision/tree/v0.24.0>`__
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- `1.16.0+ds-5ubuntu1 <http://archive.ubuntu.com/ubuntu/pool/universe/u/ucx/>`__
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- `4.1.6-7ubuntu2 <http://archive.ubuntu.com/ubuntu/pool/universe/o/openmpi/>`__
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* - 24.04
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- `1.9.0+rocm7.1.1.git07c3ee53 <https://repo.radeon.com/rocm/manylinux/rocm-rel-7.1.1/>`__
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- `0.24.0 <https://github.com/pytorch/vision/tree/v0.24.0>`__
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- `1.16.0+ds-5ubuntu1 <http://archive.ubuntu.com/ubuntu/pool/universe/u/ucx/>`__
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- `4.1.6-7ubuntu2 <http://archive.ubuntu.com/ubuntu/pool/universe/o/openmpi/>`__
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on `Docker Hub
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<https://hub.docker.com/layers/rocm/pytorch/rocm7.1.1_ubuntu24.04_py3.12_pytorch_release_2.9.1/images/sha256-683765a52c61341e1674fe730ab3be861a444a45a36c0a8caae7653a08a0e208>`__.
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``rocm/pytorch:rocm7.1.1_ubuntu24.04_py3.12_pytorch_release_2.9.1``
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on `Docker Hub
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<https://hub.docker.com/layers/rocm/pytorch/rocm7.1.1_ubuntu24.04_py3.12_pytorch_release_2.9.1/images/sha256-683765a52c61341e1674fe730ab3be861a444a45a36c0a8caae7653a08a0e208>`__.
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.. tab-item:: Python 3.10
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.. rubric:: Docker pull tag
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.. rubric:: Docker pull tag
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.. code-block:: shell
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.. code-block:: shell
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docker pull rocm/pytorch:rocm7.1.1_ubuntu22.04_py3.10_pytorch_release_2.9.1
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docker pull rocm/pytorch:rocm7.1.1_ubuntu22.04_py3.10_pytorch_release_2.9.1
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.. rubric:: Additional software components
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.. rubric:: Additional software components
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.. list-table::
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:header-rows: 1
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.. list-table::
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:header-rows: 1
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* - Ubuntu
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- Apex
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- torchvision
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- UCX
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- Open MPI
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* - Ubuntu
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- Apex
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- torchvision
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- UCX
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- Open MPI
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- `0.24.0 <https://github.com/pytorch/vision/tree/v0.24.0>`__
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- `1.12.1~rc2-1 <http://archive.ubuntu.com/ubuntu/pool/universe/u/ucx/>`__
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* - 22.04
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- `1.9.0+rocm7.1.1.git07c3ee53 <https://repo.radeon.com/rocm/manylinux/rocm-rel-7.1.1/>`__
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- `0.24.0 <https://github.com/pytorch/vision/tree/v0.24.0>`__
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- `1.12.1~rc2-1 <http://archive.ubuntu.com/ubuntu/pool/universe/u/ucx/>`__
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<https://hub.docker.com/layers/rocm/pytorch/rocm7.1.1_ubuntu22.04_py3.10_pytorch_release_2.9.1/images/sha256-079ef6d4ef803ffb4191983f67149a70dddb0b4e58fb59fbf304df2829ed173e>`__.
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on `Docker Hub
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<https://hub.docker.com/layers/rocm/pytorch/rocm7.1.1_ubuntu22.04_py3.10_pytorch_release_2.9.1/images/sha256-079ef6d4ef803ffb4191983f67149a70dddb0b4e58fb59fbf304df2829ed173e>`__.
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‎docs/install/3rd-party/tensorflow-install.rst‎

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>`__.
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<https://hub.docker.com/layers/rocm/tensorflow/rocm7.1.1-py3.10-tf2.20-dev/images/sha256-9fcdc3e77e2d480e5abdc057051f3bc39ef18c4ebd4236a30157e8ac0634c316>`__.
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on `Docker Hub <https://hub.docker.com/layers/rocm/tensorflow/rocm7.1.1-py3.10-tf2.20-dev/images/sha256-9fcdc3e77e2d480e5abdc057051f3bc39ef18c4ebd4236a30157e8ac0634c316>`__.
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<https://hub.docker.com/layers/rocm/tensorflow/rocm7.1.1-py3.12-tf2.19-dev/images/sha256-190d36927db4efdd5b834ffa55cffc7b33e3dacb262f871c71c55b7ca87eb311>`__.
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on `Docker Hub <https://hub.docker.com/layers/rocm/tensorflow/rocm7.1.1-py3.12-tf2.19-dev/images/sha256-190d36927db4efdd5b834ffa55cffc7b33e3dacb262f871c71c55b7ca87eb311>`__.
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<https://hub.docker.com/layers/rocm/tensorflow/rocm7.1.1-py3.10-tf2.19-dev/images/sha256-92611a179bb01d0e0d0ec6f0abe599de227bb8a56bf9d1d16e8c0ae3f60c0652>`__.
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on `Docker Hub <https://hub.docker.com/layers/rocm/tensorflow/rocm7.1.1-py3.10-tf2.19-dev/images/sha256-92611a179bb01d0e0d0ec6f0abe599de227bb8a56bf9d1d16e8c0ae3f60c0652>`__.
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<https://hub.docker.com/layers/rocm/tensorflow/rocm7.1.1-py3.12-tf2.18-dev/images/sha256-ad9ae7c3b57975a490380c9f4cd6793293e405f593a16c5eaec1098c03dfe298>`__.
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on `Docker Hub <https://hub.docker.com/layers/rocm/tensorflow/rocm7.1.1-py3.12-tf2.18-dev/images/sha256-ad9ae7c3b57975a490380c9f4cd6793293e405f593a16c5eaec1098c03dfe298>`__.
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‎docs/install/quick-start.rst‎

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Remove any AMDGPU driver from a previous installation by following uninstallation steps in `AMD GPU Driver documentation <https://instinct.docs.amd.com/projects/amdgpu-docs/en/latest/install/detailed-install/package-manager/package-manager-ubuntu.html#uninstalling>`__.
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Remove any AMDGPU driver from a previous installation by following uninstallation steps in `AMD GPU Driver documentation <https://instinct.docs.amd.com/projects/amdgpu-docs/en/latest/install/detailed-install/package-manager/package-manager-sles.html#uninstalling>`__.
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Remove any AMDGPU driver from a previous installation by following uninstallation steps in `AMD GPU Driver documentation <https://instinct.docs.amd.com/projects/amdgpu-docs/en/latest/install/detailed-install/package-manager/package-manager-rl.html#uninstalling>`__.
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:substitutions:

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