Update XPU install

docs/source/guide/get_started/installation.rst

@@ -15,7 +15,8 @@ The current version of OpenVINO™ Training Extensions was tested in the followi
 Install OpenVINO™ Training Extensions for users (CUDA/CPU)
 **********************************************************
 
-1. Install OpenVINO™ Training Extensions package:
+1. Install OpenVINO™ Training Extensions
+package:
 
 * A local source in development mode
 
@@ -41,7 +42,8 @@ Install OpenVINO™ Training Extensions for users (CUDA/CPU)
 
             pip install -e .
 
-2. Install PyTorch & Requirements for training according to your system environment.
+2. Install PyTorch & Requirements for training
+according to your system environment.
 
 .. tab-set::
 
@@ -76,49 +78,63 @@ OpenVINO™ Training Extensions command line functionality.
 Install OpenVINO™ Training Extensions for users (XPU devices)
 *************************************************************
 
-1. Follow the first two steps from above instructions
-on cloning the repository and creating a virtual environment.
+1. Install OpenVINO™ Training Extensions
+package:
 
-2. Install Intel Extensions For Pytorch (IPEX).
-Follow the `official documentation <https://intel.github.io/intel-extension-for-pytorch/index.html#installation?platform=gpu&version=v2.1.10%2Bxpu>`_ to install prerequisites such as OneAPI and proper drivers.
+* A local source in development mode
 
-.. code-block:: shell
+.. tab-set::
 
-    python -m pip install torch==2.1.0.post0 torchvision==0.16.0.post0 torchaudio==2.1.0.post0 intel-extension-for-pytorch==2.1.20+xpu oneccl_bind_pt==2.1.200+xpu --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+    .. tab-item:: PyPI
 
-3. Install MMCV.
-It is required to install mmcv from source to properly build it with IPEX.
+        .. code-block:: shell
 
-.. code-block:: shell
+            pip install otx
 
-    git clone https://github.com/open-mmlab/mmcv
-    cd mmcv
-    git checkout v2.1.0
-    MMCV_WITH_OPS=1 pip install -e .
+    .. tab-item:: Source
 
-4. Install OpenVINO™ Training Extensions
-package from either:
+        .. code-block:: shell
 
-* A local source in development mode
+            # Clone the training_extensions repository with the following command:
+            git clone https://github.com/openvinotoolkit/training_extensions.git
+            cd training_extensions
 
-.. code-block:: shell
+            # Set up a virtual environment.
+            python -m venv .otx
+            source .otx/bin/activate
 
-    pip install -e .
+            pip install -e .
 
-* PyPI
+2. Install Intel Extensions for Pytorch & Requirements
+for training according to your system environment.
 
-.. code-block:: shell
+.. tab-set::
+
+    .. tab-item:: Minimum requirements
 
-    pip install otx
+        .. code-block:: shell
 
-5. Install requirements for training
-excluding Pytorch.
+            pip install '.[xpu]' --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
 
-.. code-block:: shell
+        .. note::
 
-    otx install -v --do-not-install-torch
+            Models from mmlab are not available for this environment. If you want to use mmlab models, you must install them with Full Requirements.
+            Also, some tasks may not be supported by minimum requirements.
+
+    .. tab-item:: Full Requirements
 
-6. Activate OneAPI environment
+        .. code-block:: shell
+            python -m pip install torch==2.1.0.post2 torchvision==0.16.0.post2 torchaudio==2.1.0.post2 intel-extension-for-pytorch==2.1.30+xpu oneccl_bind_pt==2.1.300+xpu --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+            git clone https://github.com/open-mmlab/mmcv
+            cd mmcv
+            git checkout v2.1.0
+            MMCV_WITH_OPS=1 pip install -e .
+            cd ..
+            otx install -v --do-not-install-torch
+
+[Optional] Refer to the `Intel® Extension for PyTorch documentation guide <https://intel.github.io/intel-extension-for-pytorch/index.html#installation?platform=gpu&version=v2.1.10%2bxpu&os=linux%2fwsl2&package=pip>`_
+
+3. Activate OneAPI environment
 and export required IPEX system variables
 
 .. code-block:: shell
@@ -127,7 +143,7 @@ and export required IPEX system variables
     export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libstdc++.so.6.0.30
     export IPEX_FP32_MATH_MODE=TF32
 
-7. Once the package is installed in the virtual environment, you can use full
+3. Once the package is installed in the virtual environment, you can use full
 OpenVINO™ Training Extensions command line functionality.
 
 .. code-block:: shell
@@ -153,15 +169,17 @@ Then you may change code, and all fixes will be directly applied to the editable
 Install OpenVINO™ Training Extensions by using Docker
 *****************************************************
 
-1. By executing the following commands, it will build two Docker images: ``otx:${OTX_VERSION}-cuda`` and ``otx:${OTX_VERSION}-cuda-pretrained-ready``.
+1. By executing the following commands, it will build two
+Docker images: ``otx:${OTX_VERSION}-cuda`` and ``otx:${OTX_VERSION}-cuda-pretrained-ready``.
 
 .. code-block:: shell
 
     git clone https://github.com/openvinotoolkit/training_extensions.git
     cd docker
     ./build.sh
 
-2. After that, you can check whether the images are built correctly such as
+2. After that, you can check whether the
+images are built correctly such as
 
 .. code-block:: shell
 

pyproject.toml

@@ -67,6 +67,22 @@ docs = [
     "sphinxemoji",
     "nbsphinx",
 ]
+xpu = [
+    "torch==2.1.0.post2",
+    "torchvision==0.16.0.post2",
+    "intel-extension-for-pytorch==2.1.30+xpu",
+    "oneccl_bind_pt==2.1.300+xpu",
+    "lightning==2.1.2",
+    "pytorchcv",
+    "timm",
+    "openvino==2024.0",
+    "openvino-dev==2024.0",
+    "openvino-model-api==0.2.0",
+    "onnx==1.16.0",
+    "onnxconverter-common==1.14.0",
+    "nncf==2.9.0",
+    "anomalib[core]==1.0.1",
+]
 base = [
     "torch==2.1.1",
     "lightning==2.1.2",

src/otx/cli/install.py

@@ -90,6 +90,7 @@ def otx_install(
     requirements_dict = get_requirements("otx")
     # Add base and openvino requirements.
     requirements = requirements_dict["base"]
+    requirements_dict.pop("xpu", None)
     if option == "full":
         for extra in requirements_dict:
             requirements.extend(requirements_dict[extra])

tests/unit/cli/test_install.py

@@ -18,6 +18,7 @@ def setup(self, mocker: MockerFixture) -> None:
             "openvino": [Requirement.parse("openvino")],
             "mmlab": [Requirement.parse("mmpretrain")],
             "api": [Requirement.parse("test1")],
+            "xpu": [Requirement.parse("torch==2.0.0"), Requirement.parse("ipex")],
         }
         mocker.patch("otx.cli.install.get_requirements", return_value=requirements_dict)
 
@@ -63,5 +64,6 @@ def test_install_full(self, mocker: MockerFixture, monkeypatch: MonkeyPatch) ->
         assert "openvino" in argument_call_list
         assert "pytorchcv" in argument_call_list
         assert "mmpretrain" not in argument_call_list
+        assert "ipex" not in argument_call_list
         mm_argument_call_list = mock_mim_installation.call_args_list[-1][0][-1]
         assert "mmpretrain" in mm_argument_call_list