From bfe36617a8bfee890f70e80d0714dd4661942475 Mon Sep 17 00:00:00 2001 From: Fangjun Kuang Date: Thu, 25 Jul 2024 15:16:05 +0800 Subject: [PATCH] update doc --- doc/source/installation/from_wheels.rst | 64 ++++++++++++------------- 1 file changed, 32 insertions(+), 32 deletions(-) diff --git a/doc/source/installation/from_wheels.rst b/doc/source/installation/from_wheels.rst index ef227c5..61cf292 100644 --- a/doc/source/installation/from_wheels.rst +++ b/doc/source/installation/from_wheels.rst @@ -21,29 +21,29 @@ Suppose you want to install the following wheel: .. code-block:: bash - https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl you can use one of the following methods: .. code-block:: bash # method 1 - pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch/ - pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html + pip install torch==2.4.0+cpu -f https://download.pytorch.org/whl/torch/ + pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html # For users from China # 中国国内用户，如果访问不了 huggingface, 请使用 - # pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html + # pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html # method 2 - pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch/ - wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + pip install torch==2.4.0+cpu -f https://download.pytorch.org/whl/torch/ + wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # For users from China # 中国国内用户，如果访问不了 huggingface, 请使用 - # wget https://hf-mirror.com/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + # wget https://hf-mirror.com/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl - pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + pip install ./kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl Windows (CPU) -------------- @@ -52,29 +52,29 @@ Suppose you want to install the following wheel: .. code-block:: bash - https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl + https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-win_amd64.whl you can use one of the following methods: .. code-block:: bash # method 1 - pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch/ https://download.pytorch.org/whl/torch/ - pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html + pip install torch==2.4.0+cpu -f https://download.pytorch.org/whl/torch/ + pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html # For users from China # 中国国内用户，如果访问不了 huggingface, 请使用 - # pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html + # pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html # method 2 - pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch/ https://download.pytorch.org/whl/torch/ - wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl + pip install torch==2.4.0+cpu -f https://download.pytorch.org/whl/torch/ + wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-win_amd64.whl # For users from China # 中国国内用户，如果访问不了 huggingface, 请使用 - # wget https://hf-mirror.com/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl + # wget https://hf-mirror.com/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-win_amd64.whl - pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl + pip install ./kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp312-cp312-win_amd64.whl macOS (CPU) ----------- @@ -83,29 +83,29 @@ Suppose you want to install the following wheel: .. code-block:: bash - https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl + https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp311-cp311-macosx_11_0_arm64.whl you can use one of the following methods: .. code-block:: bash # method 1 - pip install torch==2.2.0 - pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html + pip install torch==2.4.0 + pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html # For users from China # 中国国内用户，如果访问不了 huggingface, 请使用 - # pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html + # pip install kaldifeat==1.25.4.dev20240725+cpu.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cpu-cn.html # method 2 - pip install torch==2.2.0 -f https://download.pytorch.org/whl/torch/ - wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl + pip install torch==2.4.0 -f https://download.pytorch.org/whl/torch/ + wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp311-cp311-macosx_11_0_arm64.whl # For users from China # 中国国内用户，如果访问不了 huggingface, 请使用 - # wget https://hf-mirror.com/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl + # wget https://hf-mirror.com/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp311-cp311-macosx_11_0_arm64.whl - pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl + pip install ./kaldifeat-1.25.4.dev20240725+cpu.torch2.4.0-cp311-cp311-macosx_11_0_arm64.whl Linux (CUDA) ------------ @@ -114,26 +114,26 @@ Suppose you want to install the following wheel: .. code-block:: bash - https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240210+cuda12.1.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240725+cuda12.4.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl you can use one of the following methods: .. code-block:: bash # method 1 - pip install torch==2.2.0+cu121 -f https://download.pytorch.org/whl/torch/ - pip install kaldifeat==1.25.4.dev20240210+cuda12.1.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cuda.html + pip install torch==2.4.0+cu124 -f https://download.pytorch.org/whl/torch/ + pip install kaldifeat==1.25.4.dev20240725+cuda12.4.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cuda.html # For users from China # 中国国内用户，如果访问不了 huggingface, 请使用 - # pip install kaldifeat==1.25.4.dev20240210+cuda12.1.torch2.2.0 -f https://csukuangfj.github.io/kaldifeat/cuda-cn.html + # pip install kaldifeat==1.25.4.dev20240725+cuda12.4.torch2.4.0 -f https://csukuangfj.github.io/kaldifeat/cuda-cn.html # method 2 - pip install torch==2.2.0+cu121 -f https://download.pytorch.org/whl/torch/ - wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240210+cuda12.1.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + pip install torch==2.4.0+cu124 -f https://download.pytorch.org/whl/torch/ + wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240725+cuda12.4.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # For users from China # 中国国内用户，如果访问不了 huggingface, 请使用 - # wget https://hf-mirror.com/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240210+cuda12.1.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + # wget https://hf-mirror.com/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.4.dev20240725+cuda12.4.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl - pip install ./kaldifeat-1.25.4.dev20240210+cuda12.1.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + pip install ./kaldifeat-1.25.4.dev20240725+cuda12.4.torch2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl