Support Windows ARL release (#12183)
* Support release for ARL * Small fix * Small fix to doc * Temp for test * Remove temp commit for test
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3 changed files with 8 additions and 8 deletions
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@ -46,7 +46,7 @@ We recommend using [Miniforge](https://conda-forge.org/download/) to create a py
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The easiest ways to install `ipex-llm` is the following commands.
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The easiest ways to install `ipex-llm` is the following commands.
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- For **Intel Core™ Ultra Series 2 (a.k.a. Lunar Lake) with Intel Arc™ Graphics**:
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- For **Intel Core™ Ultra Series 2 with Intel Arc™ Graphics (a.k.a. Lunar Lake)**:
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Choose either US or CN website for `extra-index-url`:
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Choose either US or CN website for `extra-index-url`:
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@ -94,7 +94,7 @@ The easiest ways to install `ipex-llm` is the following commands.
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If you encounter network issues when installing IPEX, you can also install IPEX-LLM dependencies for Intel XPU from source archives. First you need to download and install torch/torchvision/ipex from wheels listed below before installing `ipex-llm`.
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If you encounter network issues when installing IPEX, you can also install IPEX-LLM dependencies for Intel XPU from source archives. First you need to download and install torch/torchvision/ipex from wheels listed below before installing `ipex-llm`.
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- For **Intel Core™ Ultra Series 2 (a.k.a. Lunar Lake) with Intel Arc™ Graphics**:
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- For **Intel Core™ Ultra Series 2 with Intel Arc™ Graphics (a.k.a. Lunar Lake)**:
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Download the wheels on Windows system:
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Download the wheels on Windows system:
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@ -47,7 +47,7 @@ conda activate llm
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With the `llm` environment active, use `pip` to install `ipex-llm` for GPU:
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With the `llm` environment active, use `pip` to install `ipex-llm` for GPU:
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- For **Intel Core™ Ultra Series 2 (a.k.a. Lunar Lake) with Intel Arc™ Graphics**:
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- For **Intel Core™ Ultra Series 2 with Intel Arc™ Graphics (a.k.a. Lunar Lake)**:
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Choose either US or CN website for `extra-index-url`:
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Choose either US or CN website for `extra-index-url`:
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@ -276,11 +276,9 @@ def setup_package():
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oneapi_2024_0_requires = ["dpcpp-cpp-rt==2024.0.2;platform_system=='Windows'",
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oneapi_2024_0_requires = ["dpcpp-cpp-rt==2024.0.2;platform_system=='Windows'",
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"mkl-dpcpp==2024.0.0;platform_system=='Windows'",
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"mkl-dpcpp==2024.0.0;platform_system=='Windows'"]
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"onednn==2024.0.0;platform_system=='Windows'"]
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oneapi_2024_2_requires = ["dpcpp-cpp-rt==2024.2.1;platform_system=='Windows'",
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oneapi_2024_2_requires = ["dpcpp-cpp-rt==2024.2.1;platform_system=='Windows'",
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"mkl-dpcpp==2024.2.1;platform_system=='Windows'",
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"mkl-dpcpp==2024.2.1;platform_system=='Windows'"]
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"onednn==2024.2.1;platform_system=='Windows'"]
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# Linux install with --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
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# Linux install with --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
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xpu_21_requires = copy.deepcopy(all_requires)
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xpu_21_requires = copy.deepcopy(all_requires)
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for exclude_require in cpu_torch_version:
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for exclude_require in cpu_torch_version:
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@ -304,7 +302,8 @@ def setup_package():
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"intel-extension-for-pytorch==2.3.110+xpu",
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"intel-extension-for-pytorch==2.3.110+xpu",
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"bigdl-core-xe-23==" + CORE_XE_VERSION,
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"bigdl-core-xe-23==" + CORE_XE_VERSION,
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"bigdl-core-xe-batch-23==" + CORE_XE_VERSION,
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"bigdl-core-xe-batch-23==" + CORE_XE_VERSION,
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"bigdl-core-xe-addons-23==" + CORE_XE_VERSION]
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"bigdl-core-xe-addons-23==" + CORE_XE_VERSION,
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"onednn-devel==2024.1.1;platform_system=='Windows'"]
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cpp_requires = ["bigdl-core-cpp==" + CORE_XE_VERSION,
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cpp_requires = ["bigdl-core-cpp==" + CORE_XE_VERSION,
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"onednn-devel==2024.2.1;platform_system=='Windows'"]
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"onednn-devel==2024.2.1;platform_system=='Windows'"]
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@ -345,6 +344,7 @@ def setup_package():
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"npu": npu_requires,
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"npu": npu_requires,
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"xpu-2-1": xpu_21_requires,
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"xpu-2-1": xpu_21_requires,
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"xpu-lnl": xpu_lnl_requires,
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"xpu-lnl": xpu_lnl_requires,
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"xpu-arl": xpu_lnl_requires,
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"serving": serving_requires,
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"serving": serving_requires,
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"cpp": cpp_requires,
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"cpp": cpp_requires,
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"llama-index": llama_index_requires}, # for internal usage when upstreaming for llama-index
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"llama-index": llama_index_requires}, # for internal usage when upstreaming for llama-index
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