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Release v1.7
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@ -6,7 +6,7 @@ project(kaldifeat)
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# remember to change the version in
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# scripts/conda/kaldifeat/meta.yaml
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set(kaldifeat_VERSION "1.6")
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set(kaldifeat_VERSION "1.7")
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set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")
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set(CMAKE_LIBRARY_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")
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13
README.md
13
README.md
@ -210,7 +210,7 @@ for more examples.
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# Installation
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## From conda
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## From conda (Only for Linux + CUDA)
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Supported versions of Python, PyTorch, and CUDA toolkit are listed below:
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@ -224,22 +224,25 @@ conda install -c kaldifeat -c pytorch -c conda-forge kaldifeat python=3.8 cudato
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You can select the supported Python version, CUDA toolkit version and PyTorch version as you wish.
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**Note:** If you want a CPU only version or want to install `kaldifeat` on other operating systems,
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e.g., macOS, please use `pip install` or compile `kaldifeat` from source.
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## From PyPi with pip
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You need to install PyTorch and CMake first.
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cmake 3.11 is known to work. Other cmake versions may also work.
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CMake 3.11 is known to work. Other CMake versions may also work.
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PyTorch 1.6.0 and above are known to work. Other PyTorch versions may also work.
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```bash
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pip install -v kaldilm
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pip install -v kaldifeat
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```
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## From source
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The following are the commands to compile `kaldifeat` from source.
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We assume that you have installed `cmake` and PyTorch.
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cmake 3.11 is known to work. Other cmake versions may also work.
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We assume that you have installed `CMake` and PyTorch.
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CMake 3.11 is known to work. Other CMake versions may also work.
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PyTorch 1.6.0 and above are known to work. Other PyTorch versions may also work.
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```bash
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@ -1,6 +1,6 @@
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package:
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name: kaldifeat
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version: "1.6"
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version: "1.7"
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source:
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path: "{{ environ.get('KALDIFEAT_ROOT_DIR') }}"
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