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Fix doc for version info (#2743)
Co-authored-by: ZhangJianyu <zhang.jianyu@outlook.com>
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README.md

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@@ -26,12 +26,12 @@ This diagram provides a summary of the TensorFlow* PyPI package ecosystem.
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[estimator](https://www.tensorflow.org/guide/estimator), [keras](https://keras.io), [tensorboard](https://www.tensorflow.org/tensorboard), [tensorflow-base](https://www.tensorflow.org/guide)
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* Intel® Extension for TensorFlow* package:
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`intel_extension_for_tensorflow` contains:
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* XPU specific implementation
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* Kernels & operators
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* Graph optimizer
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* Device runtime
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* Device runtime
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* XPU configuration management
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* XPU backend selection
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* Options turning on/off advanced features
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### Compatibility Table
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| Intel® Extension for TensorFlow* | Stock TensorFlow |
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| ------- | ----------- |
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| [latest build from source](docs/install/how_to_build.md) | 2.15 |
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| ------- | ----------- |
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| Not support | 2.17 |
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| [latest build from source](docs/install/how_to_build.md) | 2.16 |
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| v2.15.0.0 & v2.15.0.1 | 2.15 |
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| v2.14.0.1 & v2.14.0.2 | 2.14 |
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| v2.13.0.0 | 2.13 |
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| v1.2.0 | 2.12 |
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| v1.1.0 | 2.10 & 2.11 |
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| v1.0.0 | 2.10 |
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| v1.0.0 | 2.10 |
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### Install for XPU
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```
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python -c "import intel_extension_for_tensorflow as itex; print(itex.__version__)"
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```
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## Documentation
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## Documentation
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Visit the [online document website](https://intel.github.io/intel-extension-for-tensorflow/latest/), and then get started with a tour of Intel® Extension for TensorFlow* [examples](examples/README.md).
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## Contributing
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We welcome community contributions to Intel® Extension for TensorFlow*.
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We welcome community contributions to Intel® Extension for TensorFlow*.
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This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the [Contributor Covenant](CODE_OF_CONDUCT.md). Please see [contribution guidelines](docs/community/contributing.md) for additional details.
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docs/install/experimental/install_for_gpu_conda.md

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## Step by step instructions:
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Miniconda is the recommended approach for installing stock TensorFlow. It creates a separate environment to avoid changing any installed software in your system. This is also the easiest way to install the required software especially for the GPU setup.
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You can use the following command to install Miniconda. During installation, you may need to press enter and type "yes". Skip this step, if you have already installed conda.
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**Miniforge** is the community (conda-forge) driven minimalistic conda installer. It is the recommended approach for installing stock TensorFlow. It creates a separate environment to avoid changing any installed software in your system. This is also the easiest way to install the required software especially for the GPU setup.
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You can use the following command to install Miniforge. During installation, you may need to press enter and type "yes". Skip this step, if you have already installed conda.
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```
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curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -o Miniconda3-latest-Linux-x86_64.sh
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bash Miniconda3-latest-Linux-x86_64.sh
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wget "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh"
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bash Miniforge3-$(uname)-$(uname -m).sh
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```
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You may need to restart your terminal or `source ~/.bashrc` to enable the conda command. Use this command to test if it is installed successfully.
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```
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conda -V
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```
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You may need to update your conda first, as at least conda 4.1.11 is required.
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```
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conda update conda
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#Take Intel Python 2023.2.0 as an example to conda environment, but generic Python is also recommended.
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conda create -n itex -c https://software.repos.intel.com/python/conda/ intelpython3_full==2023.2.0 python=3.9
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conda create -n itex -c https://software.repos.intel.com/python/conda/ intelpython3_full==2024.2.0 python=3.9
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```
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Activate the environment by the following commands.

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