support torch 2.3.1

.github/workflows/build-doc.yml

@@ -54,6 +54,7 @@ jobs:
             ls -lh $KALDIFEAT_DIR
 
             export GIT_LFS_SKIP_SMUDGE=1
+            export GIT_CLONE_PROTECTION_ACTIVE=false
             git clone https://huggingface.co/csukuangfj/kaldifeat huggingface
             cd huggingface
 
@@ -68,6 +69,8 @@ jobs:
           make html
           cp source/cpu.html build/html/
           cp source/cuda.html build/html/
+          cp source/cpu-cn.html build/html/
+          cp source/cuda-cn.html build/html/
           touch build/html/.nojekyll
 
       - name: Deploy

.gitignore

@@ -6,3 +6,5 @@ __pycache__/
 test-1hour.wav
 path.sh
 torch_version.py
+cpu*.html
+cuda*.html

doc/source/installation/from_wheels.rst

@@ -9,6 +9,11 @@ You can find pre-compiled wheels at
 We give a few examples below to show you how to install `kaldifeat`_ from
 pre-compiled wheels.
 
+.. hint::
+
+   The following lists only some examples. We suggest that you always select the
+   latest version of ``kaldifeat``.
+
 Linux (CPU)
 -----------
 
@@ -26,11 +31,19 @@ you can use one of the following methods:
    pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
    pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -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
+
    # method 2
    pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
    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 ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-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
+
+   pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
 
 Windows (CPU)
 --------------
@@ -49,9 +62,18 @@ you can use one of the following methods:
    pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
    pip install kaldifeat==1.25.4.dev20240210+cpu.torch2.2.0 -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
+
    # method 2
    pip install torch==2.2.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
    wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-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
+
    pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-win_amd64.whl
 
 macOS (CPU)
@@ -71,9 +93,18 @@ you can use one of the following methods:
    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
 
+   # 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
+
    # method 2
    pip install torch==2.2.0 -f https://download.pytorch.org/whl/torch_stable.html
    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
+
+   # 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
+
    pip install ./kaldifeat-1.25.4.dev20240210+cpu.torch2.2.0-cp312-cp312-macosx_12_0_universal2.whl
 
 Linux (CUDA)
@@ -93,7 +124,16 @@ you can use one of the following methods:
    pip install torch==2.2.0+cu121 -f https://download.pytorch.org/whl/torch_stable.html
    pip install kaldifeat==1.25.4.dev20240210+cuda12.1.torch2.2.0 -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
+
    # method 2
    pip install torch==2.2.0+cu121 -f https://download.pytorch.org/whl/torch_stable.html
    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
+
+   # 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
+
    pip install ./kaldifeat-1.25.4.dev20240210+cuda12.1.torch2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

scripts/github_actions/generate_build_matrix.py

@@ -201,10 +201,16 @@ def generate_build_matrix(enable_cuda, for_windows, for_macos, test_only_latest_
             if not for_windows
             else ["11.8.0", "12.1.0"],
         },
+        "2.3.1": {
+            "python-version": ["3.8", "3.9", "3.10", "3.11", "3.12"],
+            "cuda": ["11.8", "12.1"]  # default 12.1
+            if not for_windows
+            else ["11.8.0", "12.1.0"],
+        },
         # https://github.com/Jimver/cuda-toolkit/blob/master/src/links/windows-links.ts
     }
     if test_only_latest_torch:
-        latest = "2.3.0"
+        latest = "2.3.1"
         matrix = {latest: matrix[latest]}
 
     if for_windows or for_macos: