From 4554759a89285f2a365c2a5403c1bfe06dae396c Mon Sep 17 00:00:00 2001 From: csukuangfj Date: Mon, 24 Jul 2023 01:33:39 +0000 Subject: [PATCH] deploy: b5d8e8498fba5bf773b57f757fd4cd801cdbeb26 --- .buildinfo | 2 +- _images/cuda_ge_10.1-orange.svg | 1 - _images/os-green.svg | 1 - _images/python_ge_3.6-blue.svg | 1 - _images/pytorch_ge_1.5.0-green.svg | 1 - _sources/index.rst.txt | 2 +- _sources/installation.rst.txt | 167 -------------- _sources/installation/faq.rst.txt | 48 +++++ _sources/installation/from_source.rst.txt | 47 ++++ _sources/installation/from_wheels.rst.txt | 7 + _sources/installation/index.rst.txt | 11 + _sources/usage/fbank_options.rst.txt | 1 - cpu.html | 164 ++++++++++++++ cuda.html | 128 +++++++++++ genindex.html | 2 +- index.html | 11 +- installation.html | 252 ---------------------- installation/faq.html | 166 ++++++++++++++ installation/from_source.html | 155 +++++++++++++ installation/from_wheels.html | 127 +++++++++++ installation/index.html | 134 ++++++++++++ intro.html | 6 +- objects.inv | Bin 373 -> 437 bytes search.html | 2 +- searchindex.js | 2 +- usage/fbank.html | 2 +- usage/fbank_options.html | 4 +- usage/index.html | 6 +- usage/online_fbank.html | 2 +- 29 files changed, 1007 insertions(+), 445 deletions(-) delete mode 100644 _images/cuda_ge_10.1-orange.svg delete mode 100644 _images/os-green.svg delete mode 100644 _images/python_ge_3.6-blue.svg delete mode 100644 _images/pytorch_ge_1.5.0-green.svg delete mode 100644 _sources/installation.rst.txt create mode 100644 _sources/installation/faq.rst.txt create mode 100644 _sources/installation/from_source.rst.txt create mode 100644 _sources/installation/from_wheels.rst.txt create mode 100644 _sources/installation/index.rst.txt create mode 100644 cpu.html create mode 100644 cuda.html delete mode 100644 installation.html create mode 100644 installation/faq.html create mode 100644 installation/from_source.html create mode 100644 installation/from_wheels.html create mode 100644 installation/index.html diff --git a/.buildinfo b/.buildinfo index 9eb4d34..adcd019 100644 --- a/.buildinfo +++ b/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 24ef3c29d38cfac8cfe9d6b09fdb5b1d +config: 68bf3c27274572b710ae58d39e0dc127 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/_images/cuda_ge_10.1-orange.svg b/_images/cuda_ge_10.1-orange.svg deleted file mode 100644 index e1d5741..0000000 --- a/_images/cuda_ge_10.1-orange.svg +++ /dev/null @@ -1 +0,0 @@ -cuda: >= 10.1cuda>= 10.1 diff --git a/_images/os-green.svg b/_images/os-green.svg deleted file mode 100644 index b78017a..0000000 --- a/_images/os-green.svg +++ /dev/null @@ -1 +0,0 @@ -os: Linux | macOS | WindowsosLinux | macOS | Windows diff --git a/_images/python_ge_3.6-blue.svg b/_images/python_ge_3.6-blue.svg deleted file mode 100644 index df677ad..0000000 --- a/_images/python_ge_3.6-blue.svg +++ /dev/null @@ -1 +0,0 @@ -python: >= 3.6python>= 3.6 diff --git a/_images/pytorch_ge_1.5.0-green.svg b/_images/pytorch_ge_1.5.0-green.svg deleted file mode 100644 index d11ab6b..0000000 --- a/_images/pytorch_ge_1.5.0-green.svg +++ /dev/null @@ -1 +0,0 @@ -pytorch: >= 1.5.0pytorch>= 1.5.0 diff --git a/_sources/index.rst.txt b/_sources/index.rst.txt index caa50b5..55b897d 100644 --- a/_sources/index.rst.txt +++ b/_sources/index.rst.txt @@ -12,5 +12,5 @@ kaldifeat :caption: Contents intro - installation + installation/index usage/index diff --git a/_sources/installation.rst.txt b/_sources/installation.rst.txt deleted file mode 100644 index 5baa217..0000000 --- a/_sources/installation.rst.txt +++ /dev/null @@ -1,167 +0,0 @@ -Installation -============ - - - |os_types| - - |python_versions| - - |pytorch_versions| - - |cuda_versions| - -.. caution:: - - `kaldifeat`_ depends on `PyTorch`_. `PyTorch`_ >= 1.5.0 is known to work. - - Please first install `PyTorch`_ before you install `kaldifeat`_. - -.. hint:: - - To install a CPU version of `kaldifeat`_, please install a CPU version - of `PyTorch`_. - - To install a CUDA version of `kaldifeat`_, please install a CUDA version - of `PyTorch`_. CUDA >= 10.1 is known to work. - -.. _from source: - -Install kaldifeat from source ------------------------------ - -You have to install ``cmake`` and `PyTorch`_ first. - - - ``cmake`` 3.11 is known to work. Other CMake versions may also work. - - `PyTorch`_ >= 1.5.0 is known to work. Other PyTorch versions may also work. - - Python >= 3.6 - - -The commands to install `kaldifeat`_ from source are: - -.. code-block:: bash - - git clone https://github.com/csukuangfj/kaldifeat - cd kaldifeat - python3 setup.py install - -To test that you have installed `kaldifeat`_ successfully, please run: - -.. code-block:: bash - - python3 -c "import kaldifeat; print(kaldifeat.__version__)" - -It should print the version, e.g., ``1.0``. - -.. _from PyPI: - -Install kaldifeat from PyPI ---------------------------- - -The command to install `kaldifeat`_ from PyPI is: - -.. code-block:: bash - - pip install --verbose kaldifeat - -To test that you have installed `kaldifeat`_ successfully, please run: - -.. code-block:: bash - - python3 -c "import kaldifeat; print(kaldifeat.__version__)" - -It should print the version, e.g., ``1.0``. - -Install kaldifeat from conda (Only for Linux) ---------------------------------------------- - -.. hint:: - - Installation using ``conda`` supports only Linux. For macOS and Windows, - please use either :ref:`from source` or :ref:`from PyPI`. - -The command to install `kaldifeat` using ``conda`` is - -.. code-block:: bash - - conda install -c kaldifeat -c pytorch -c conda-forge kaldifeat python=3.8 cudatoolkit=11.1 pytorch=1.8.1 - -You can select the supported Python version, CUDA toolkit version and `PyTorch`_ version as you wish. - -To install a CPU version of `kaldifeat`, use: - -.. code-block:: bash - - conda install -c kaldifeat -c pytorch cpuonly kaldifeat python=3.8 pytorch=1.8.1 - -.. caution:: - - If you encounter issues about missing GLIBC after installing `kaldifeat`_ - with ``conda``, please consider :ref:`from source` or :ref:`from PyPI`. - The reason is that the package was built using Ubuntu 18.04 and your system's - GLIBC is older. - - -.. |os_types| image:: ./images/os-green.svg - :alt: Supported operating systems - -.. |python_versions| image:: ./images/python_ge_3.6-blue.svg - :alt: Supported python versions - -.. |cuda_versions| image:: ./images/cuda_ge_10.1-orange.svg - :alt: Supported cuda versions - -.. |pytorch_versions| image:: ./images/pytorch_ge_1.5.0-green.svg - :alt: Supported pytorch versions - -To test that you have installed `kaldifeat`_ successfully, please run: - -.. code-block:: bash - - python3 -c "import kaldifeat; print(kaldifeat.__version__)" - -It should print the version, e.g., ``1.0``. - -FAQs ----- - -How to install a CUDA version of kaldifeat -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - -You need to first install a CUDA version of `PyTorch`_ and then install `kaldifeat`_. - -.. note:: - - You can use a CUDA version of `kaldifeat`_ on machines with no GPUs. - -How to install a CPU version of kaldifeat -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - -You need to first install a CPU version of `PyTorch`_ and then install `kaldifeat`_. - -How to fix `Caffe2: Cannot find cuDNN library` -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - -.. code-block:: - - Your installed Caffe2 version uses cuDNN but I cannot find the cuDNN - libraries. Please set the proper cuDNN prefixes and / or install cuDNN. - -You will have such an error when you want to install a CUDA version of `kaldifeat`_ -by ``pip install kaldifeat`` or from source. - -You need to first install cuDNN. Assume you have installed cuDNN to the -path ``/path/to/cudnn``. You can fix the error by using ``one`` of the following -commands. - -(1) Fix for installation using ``pip install`` - -.. code-block:: bash - - export KALDIFEAT_CMAKE_ARGS="-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include" - pip install --verbose kaldifeat - -(2) Fix for installation from source - -.. code-block:: bash - - mkdir /some/path - git clone https://github.com/csukuangfj/kaldifeat.git - cd kaldifeat - export KALDIFEAT_CMAKE_ARGS="-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include" - python setup.py install diff --git a/_sources/installation/faq.rst.txt b/_sources/installation/faq.rst.txt new file mode 100644 index 0000000..a48be51 --- /dev/null +++ b/_sources/installation/faq.rst.txt @@ -0,0 +1,48 @@ +FAQs +==== + +How to install a CUDA version of kaldifeat from source +------------------------------------------------------ + +You need to first install a CUDA version of `PyTorch`_ and then install `kaldifeat`_. + +.. note:: + + You can use a CUDA version of `kaldifeat`_ on machines with no GPUs. + +How to install a CPU version of kaldifeat from source +----------------------------------------------------- + +You need to first install a CPU version of `PyTorch`_ and then install `kaldifeat`_. + +How to fix `Caffe2: Cannot find cuDNN library` +---------------------------------------------- + +.. code-block:: + + Your installed Caffe2 version uses cuDNN but I cannot find the cuDNN + libraries. Please set the proper cuDNN prefixes and / or install cuDNN. + +You will have such an error when you want to install a CUDA version of `kaldifeat`_ +by ``pip install kaldifeat`` or from source. + +You need to first install cuDNN. Assume you have installed cuDNN to the +path ``/path/to/cudnn``. You can fix the error by using ``one`` of the following +commands. + +(1) Fix for installation using ``pip install`` + +.. code-block:: bash + + export KALDIFEAT_CMAKE_ARGS="-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include" + pip install --verbose kaldifeat + +(2) Fix for installation from source + +.. code-block:: bash + + mkdir /some/path + git clone https://github.com/csukuangfj/kaldifeat.git + cd kaldifeat + export KALDIFEAT_CMAKE_ARGS="-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include" + python setup.py install diff --git a/_sources/installation/from_source.rst.txt b/_sources/installation/from_source.rst.txt new file mode 100644 index 0000000..145c422 --- /dev/null +++ b/_sources/installation/from_source.rst.txt @@ -0,0 +1,47 @@ +.. _from source: + +Install kaldifeat from source +============================= + +You have to install ``cmake`` and `PyTorch`_ first. + + - ``cmake`` 3.11 is known to work. Other CMake versions may also work. + - `PyTorch`_ >= 1.5.0 is known to work. Other PyTorch versions may also work. + - Python >= 3.6 + - A compiler that supports C++ 14 + + +The commands to install `kaldifeat`_ from source are: + +.. code-block:: bash + + git clone https://github.com/csukuangfj/kaldifeat + cd kaldifeat + python3 setup.py install + +To test that you have installed `kaldifeat`_ successfully, please run: + +.. code-block:: bash + + python3 -c "import kaldifeat; print(kaldifeat.__version__)" + +It should print the version, e.g., ``1.0``. + +.. _from PyPI: + +Install kaldifeat from PyPI +--------------------------- + +The command to install `kaldifeat`_ from PyPI is: + +.. code-block:: bash + + pip install --verbose kaldifeat + +To test that you have installed `kaldifeat`_ successfully, please run: + +.. code-block:: bash + + python3 -c "import kaldifeat; print(kaldifeat.__version__)" + +It should print the version, e.g., ``1.0``. diff --git a/_sources/installation/from_wheels.rst.txt b/_sources/installation/from_wheels.rst.txt new file mode 100644 index 0000000..a019a95 --- /dev/null +++ b/_sources/installation/from_wheels.rst.txt @@ -0,0 +1,7 @@ +From pre-compiled wheels (Recommended) +======================================= + +You can find pre-compiled wheels at + + - CPU wheels: ``_ + - CUDA wheels: ``_ diff --git a/_sources/installation/index.rst.txt b/_sources/installation/index.rst.txt new file mode 100644 index 0000000..248d9f3 --- /dev/null +++ b/_sources/installation/index.rst.txt @@ -0,0 +1,11 @@ +Installation +============ + +.. toctree:: + :maxdepth: 2 + + ./from_wheels.rst + ./from_source.rst + ./faq.rst + + diff --git a/_sources/usage/fbank_options.rst.txt b/_sources/usage/fbank_options.rst.txt index d9adc2d..c30c3e9 100644 --- a/_sources/usage/fbank_options.rst.txt +++ b/_sources/usage/fbank_options.rst.txt @@ -10,7 +10,6 @@ The following code shows how to construct an instance of `kaldifeat.FbankOptions .. literalinclude:: ./code/fbank_options-1.txt :caption: Usage of `kaldifeat.FbankOptions`_ :emphasize-lines: 6,8,22,37 - :language: python Note that we reuse the same option name with `compute-fbank-feats`_ from `Kaldi`_: diff --git a/cpu.html b/cpu.html new file mode 100644 index 0000000..a76a6b7 --- /dev/null +++ b/cpu.html @@ -0,0 +1,164 @@ +kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
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diff --git a/genindex.html b/genindex.html index a255d64..efce085 100644 --- a/genindex.html +++ b/genindex.html @@ -45,7 +45,7 @@

Contents

diff --git a/index.html b/index.html index 2bba085..85f8843 100644 --- a/index.html +++ b/index.html @@ -47,7 +47,7 @@

Contents

@@ -81,11 +81,10 @@

Contents

  • Introduction
    • -
  • Installation
      -
    • Install kaldifeat from source
      • -
    • Install kaldifeat from PyPI
      • -
    • Install kaldifeat from conda (Only for Linux)
      • -
    • FAQs
      • +
    • Installation
    • Usage
        diff --git a/installation.html b/installation.html deleted file mode 100644 index 4d6aa82..0000000 --- a/installation.html +++ /dev/null @@ -1,252 +0,0 @@ - - - - - - - Installation — kaldifeat 1.24 documentation - - - - - - - - - - - - - - - - - -
        - - -
        - -
        -
        -
        - -
        -
        -
        -
        - -
        -

        Installation

        -
        -
          -

        • Supported operating systems

          • -

        • Supported python versions

          • -

        • Supported pytorch versions

          • -

        • Supported cuda versions

          • -
        -
        -
        -

        Caution

        -

        kaldifeat depends on PyTorch. PyTorch >= 1.5.0 is known to work.

        -

        Please first install PyTorch before you install kaldifeat.

        -
        -
        -

        Hint

        -

        To install a CPU version of kaldifeat, please install a CPU version -of PyTorch.

        -

        To install a CUDA version of kaldifeat, please install a CUDA version -of PyTorch. CUDA >= 10.1 is known to work.

        -
        -
        -

        Install kaldifeat from source

        -

        You have to install cmake and PyTorch first.

        -
        -
          -

        • cmake 3.11 is known to work. Other CMake versions may also work.

          • -

        • PyTorch >= 1.5.0 is known to work. Other PyTorch versions may also work.

          • -

        • Python >= 3.6

          • -
        -
        -

        The commands to install kaldifeat from source are:

        -
        git clone https://github.com/csukuangfj/kaldifeat
-cd kaldifeat
-python3 setup.py install
-
        -
        -

        To test that you have installed kaldifeat successfully, please run:

        -
        python3 -c "import kaldifeat; print(kaldifeat.__version__)"
-
        -
        -

        It should print the version, e.g., 1.0.

        -
        -
        -

        Install kaldifeat from PyPI

        -

        The command to install kaldifeat from PyPI is:

        -
        pip install --verbose kaldifeat
-
        -
        -

        To test that you have installed kaldifeat successfully, please run:

        -
        python3 -c "import kaldifeat; print(kaldifeat.__version__)"
-
        -
        -

        It should print the version, e.g., 1.0.

        -
        -
        -

        Install kaldifeat from conda (Only for Linux)

        -
        -

        Hint

        -

        Installation using conda supports only Linux. For macOS and Windows, -please use either Install kaldifeat from source or Install kaldifeat from PyPI.

        -
        -

        The command to install kaldifeat using conda is

        -
        conda install -c kaldifeat -c pytorch -c conda-forge kaldifeat python=3.8 cudatoolkit=11.1 pytorch=1.8.1
-
        -
        -

        You can select the supported Python version, CUDA toolkit version and PyTorch version as you wish.

        -

        To install a CPU version of kaldifeat, use:

        -
        conda install -c kaldifeat -c pytorch cpuonly kaldifeat python=3.8 pytorch=1.8.1
-
        -
        -
        -

        Caution

        -

        If you encounter issues about missing GLIBC after installing kaldifeat -with conda, please consider Install kaldifeat from source or Install kaldifeat from PyPI. -The reason is that the package was built using Ubuntu 18.04 and your system’s -GLIBC is older.

        -
        -

        To test that you have installed kaldifeat successfully, please run:

        -
        python3 -c "import kaldifeat; print(kaldifeat.__version__)"
-
        -
        -

        It should print the version, e.g., 1.0.

        -
        -
        -

        FAQs

        -
        -

        How to install a CUDA version of kaldifeat

        -

        You need to first install a CUDA version of PyTorch and then install kaldifeat.

        -
        -

        Note

        -

        You can use a CUDA version of kaldifeat on machines with no GPUs.

        -
        -
        -
        -

        How to install a CPU version of kaldifeat

        -

        You need to first install a CPU version of PyTorch and then install kaldifeat.

        -
        -
        -

        How to fix Caffe2: Cannot find cuDNN library

        -
        Your installed Caffe2 version uses cuDNN but I cannot find the cuDNN
-libraries.  Please set the proper cuDNN prefixes and / or install cuDNN.
-
        -
        -

        You will have such an error when you want to install a CUDA version of kaldifeat -by pip install kaldifeat or from source.

        -

        You need to first install cuDNN. Assume you have installed cuDNN to the -path /path/to/cudnn. You can fix the error by using one of the following -commands.

        -
          -

        1. Fix for installation using pip install

          2. -
        -
        export KALDIFEAT_CMAKE_ARGS="-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include"
-pip install --verbose kaldifeat
-
        -
        -
          -

        1. Fix for installation from source

          2. -
        -
        mkdir /some/path
-git clone https://github.com/csukuangfj/kaldifeat.git
-cd kaldifeat
-export KALDIFEAT_CMAKE_ARGS="-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include"
-python setup.py install
-
        -
        -
        -
        -
        - - -
        -
        - -
        -
        -
        -
        - - - - \ No newline at end of file diff --git a/installation/faq.html b/installation/faq.html new file mode 100644 index 0000000..0189b99 --- /dev/null +++ b/installation/faq.html @@ -0,0 +1,166 @@ + + + + + + + FAQs — kaldifeat 1.24 documentation + + + + + + + + + + + + + + + + + +
        + + +
        + +
        +
        +
        + +
        +
        +
        +
        + +
        +

        FAQs

        +
        +

        How to install a CUDA version of kaldifeat from source

        +

        You need to first install a CUDA version of PyTorch and then install kaldifeat.

        +
        +

        Note

        +

        You can use a CUDA version of kaldifeat on machines with no GPUs.

        +
        +
        +
        +

        How to install a CPU version of kaldifeat from source

        +

        You need to first install a CPU version of PyTorch and then install kaldifeat.

        +
        +
        +

        How to fix Caffe2: Cannot find cuDNN library

        +
        Your installed Caffe2 version uses cuDNN but I cannot find the cuDNN
+libraries.  Please set the proper cuDNN prefixes and / or install cuDNN.
+
        +
        +

        You will have such an error when you want to install a CUDA version of kaldifeat +by pip install kaldifeat or from source.

        +

        You need to first install cuDNN. Assume you have installed cuDNN to the +path /path/to/cudnn. You can fix the error by using one of the following +commands.

        +
          +

        1. Fix for installation using pip install

          2. +
        +
        export KALDIFEAT_CMAKE_ARGS="-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include"
+pip install --verbose kaldifeat
+
        +
        +
          +

        1. Fix for installation from source

          2. +
        +
        mkdir /some/path
+git clone https://github.com/csukuangfj/kaldifeat.git
+cd kaldifeat
+export KALDIFEAT_CMAKE_ARGS="-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include"
+python setup.py install
+
        +
        +
        +
        + + +
        +
        + +
        +
        +
        +
        + + + + \ No newline at end of file diff --git a/installation/from_source.html b/installation/from_source.html new file mode 100644 index 0000000..4d374e4 --- /dev/null +++ b/installation/from_source.html @@ -0,0 +1,155 @@ + + + + + + + Install kaldifeat from source — kaldifeat 1.24 documentation + + + + + + + + + + + + + + + + + +
        + + +
        + +
        +
        +
        + +
        +
        +
        +
        + +
        +

        Install kaldifeat from source

        +

        You have to install cmake and PyTorch first.

        +
        +
          +

        • cmake 3.11 is known to work. Other CMake versions may also work.

          • +

        • PyTorch >= 1.5.0 is known to work. Other PyTorch versions may also work.

          • +

        • Python >= 3.6

          • +

        • A compiler that supports C++ 14

          • +
        +
        +

        The commands to install kaldifeat from source are:

        +
        git clone https://github.com/csukuangfj/kaldifeat
+cd kaldifeat
+python3 setup.py install
+
        +
        +

        To test that you have installed kaldifeat successfully, please run:

        +
        python3 -c "import kaldifeat; print(kaldifeat.__version__)"
+
        +
        +

        It should print the version, e.g., 1.0.

        +
        +

        Install kaldifeat from PyPI

        +

        The command to install kaldifeat from PyPI is:

        +
        pip install --verbose kaldifeat
+
        +
        +

        To test that you have installed kaldifeat successfully, please run:

        +
        python3 -c "import kaldifeat; print(kaldifeat.__version__)"
+
        +
        +

        It should print the version, e.g., 1.0.

        +
        +
        + + +
        +
        + +
        +
        +
        +
        + + + + \ No newline at end of file diff --git a/installation/from_wheels.html b/installation/from_wheels.html new file mode 100644 index 0000000..51a9cd7 --- /dev/null +++ b/installation/from_wheels.html @@ -0,0 +1,127 @@ + + + + + + + From pre-compiled wheels (Recommended) — kaldifeat 1.24 documentation + + + + + + + + + + + + + + + + + +
        + + +
        + +
        +
        +
        + +
        +
        +
        +
        + + + + +
        +
        + +
        +
        +
        +
        + + + + \ No newline at end of file diff --git a/installation/index.html b/installation/index.html new file mode 100644 index 0000000..cb61647 --- /dev/null +++ b/installation/index.html @@ -0,0 +1,134 @@ + + + + + + + Installation — kaldifeat 1.24 documentation + + + + + + + + + + + + + + + + + +
        + + +
        + +
        +
        +
        + +
        +
        +
        + +
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        Contents

        @@ -208,7 +208,7 @@ computer.