deploy: 398401ed277d4f895f624a95919c57edbbde4cba

_sources/for-dummies/environment-setup.rst.txt

@@ -66,13 +66,13 @@ to install dependencies of `icefall`_:
 
    pip install torch==2.0.0+cpu torchaudio==2.0.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
 
-   # If you are using macOS or Windows, please use the following command to install torch and torchaudio
+   # If you are using macOS, please use the following command to install torch and torchaudio
    # pip install torch==2.0.0 torchaudio==2.0.0 -f https://download.pytorch.org/whl/torch_stable.html
 
    # Now install k2
    # Please refer to https://k2-fsa.github.io/k2/installation/from_wheels.html#linux-cpu-example
 
-   pip install k2==1.24.3.dev20230726+cpu.torch2.0.0 -f https://k2-fsa.github.io/k2/cpu.html
+   pip install k2==1.24.4.dev20231220+cpu.torch2.0.0 -f https://k2-fsa.github.io/k2/cpu.html
 
    # Install the latest version of lhotse
 

_sources/for-dummies/model-export.rst.txt

@@ -85,7 +85,7 @@ We can also use it to decode files with the following command:
   # Please refer to https://csukuangfj.github.io/kaldifeat/installation/from_wheels.html
   # for how to install kaldifeat
 
-  pip install kaldifeat==1.25.0.dev20230726+cpu.torch2.0.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
+  pip install kaldifeat==1.25.3.dev20231221+cpu.torch2.0.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
 
   ./tdnn/pretrained.py \
     --checkpoint ./tdnn/exp/pretrained.pt \
@@ -162,7 +162,7 @@ To use ``tdnn/exp/cpu_jit.pt`` with `icefall`_ to decode files, we can use:
   # Please refer to https://csukuangfj.github.io/kaldifeat/installation/from_wheels.html
   # for how to install kaldifeat
 
-  pip install kaldifeat==1.25.0.dev20230726+cpu.torch2.0.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
+  pip install kaldifeat==1.25.3.dev20231221+cpu.torch2.0.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
 
 
   ./tdnn/jit_pretrained.py \
@@ -249,7 +249,7 @@ To use the generated ONNX model files for decoding with `onnxruntime`_, we can u
   # Please refer to https://csukuangfj.github.io/kaldifeat/installation/from_wheels.html
   # for how to install kaldifeat
 
-  pip install kaldifeat==1.25.0.dev20230726+cpu.torch2.0.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
+  pip install kaldifeat==1.25.3.dev20231221+cpu.torch2.0.0 -f https://csukuangfj.github.io/kaldifeat/cpu.html
 
   ./tdnn/onnx_pretrained.py \
     --nn-model ./tdnn/exp/model-epoch-14-avg-2.onnx \

for-dummies/environment-setup.html

@@ -153,13 +153,13 @@ dependencies required only by running on <code class="docutils literal notransla
 
 pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.0.0+cpu<span class="w"> </span><span class="nv">torchaudio</span><span class="o">==</span><span class="m">2</span>.0.0+cpu<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch_stable.html
 
-<span class="c1"># If you are using macOS or Windows, please use the following command to install torch and torchaudio</span>
+<span class="c1"># If you are using macOS, please use the following command to install torch and torchaudio</span>
 <span class="c1"># pip install torch==2.0.0 torchaudio==2.0.0 -f https://download.pytorch.org/whl/torch_stable.html</span>
 
 <span class="c1"># Now install k2</span>
 <span class="c1"># Please refer to https://k2-fsa.github.io/k2/installation/from_wheels.html#linux-cpu-example</span>
 
-pip<span class="w"> </span>install<span class="w"> </span><span class="nv">k2</span><span class="o">==</span><span class="m">1</span>.24.3.dev20230726+cpu.torch2.0.0<span class="w"> </span>-f<span class="w"> </span>https://k2-fsa.github.io/k2/cpu.html
+pip<span class="w"> </span>install<span class="w"> </span><span class="nv">k2</span><span class="o">==</span><span class="m">1</span>.24.4.dev20231220+cpu.torch2.0.0<span class="w"> </span>-f<span class="w"> </span>https://k2-fsa.github.io/k2/cpu.html
 
 <span class="c1"># Install the latest version of lhotse</span>
 

for-dummies/model-export.html

@@ -172,7 +172,7 @@ ln<span class="w"> </span>-s<span class="w"> </span>pretrained.pt<span class="w"
 <span class="c1"># Please refer to https://csukuangfj.github.io/kaldifeat/installation/from_wheels.html</span>
 <span class="c1"># for how to install kaldifeat</span>
 
-pip<span class="w"> </span>install<span class="w"> </span><span class="nv">kaldifeat</span><span class="o">==</span><span class="m">1</span>.25.0.dev20230726+cpu.torch2.0.0<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
+pip<span class="w"> </span>install<span class="w"> </span><span class="nv">kaldifeat</span><span class="o">==</span><span class="m">1</span>.25.3.dev20231221+cpu.torch2.0.0<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
 
 ./tdnn/pretrained.py<span class="w"> </span><span class="se">\</span>
 <span class="w">  </span>--checkpoint<span class="w"> </span>./tdnn/exp/pretrained.pt<span class="w"> </span><span class="se">\</span>
@@ -236,7 +236,7 @@ and it resides on CPU by default.</p>
 <span class="c1"># Please refer to https://csukuangfj.github.io/kaldifeat/installation/from_wheels.html</span>
 <span class="c1"># for how to install kaldifeat</span>
 
-pip<span class="w"> </span>install<span class="w"> </span><span class="nv">kaldifeat</span><span class="o">==</span><span class="m">1</span>.25.0.dev20230726+cpu.torch2.0.0<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
+pip<span class="w"> </span>install<span class="w"> </span><span class="nv">kaldifeat</span><span class="o">==</span><span class="m">1</span>.25.3.dev20231221+cpu.torch2.0.0<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
 
 
 ./tdnn/jit_pretrained.py<span class="w"> </span><span class="se">\</span>
@@ -317,7 +317,7 @@ verbose:<span class="w"> </span>False,<span class="w"> </span>log<span class="w"
 <span class="c1"># Please refer to https://csukuangfj.github.io/kaldifeat/installation/from_wheels.html</span>
 <span class="c1"># for how to install kaldifeat</span>
 
-pip<span class="w"> </span>install<span class="w"> </span><span class="nv">kaldifeat</span><span class="o">==</span><span class="m">1</span>.25.0.dev20230726+cpu.torch2.0.0<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
+pip<span class="w"> </span>install<span class="w"> </span><span class="nv">kaldifeat</span><span class="o">==</span><span class="m">1</span>.25.3.dev20231221+cpu.torch2.0.0<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
 
 ./tdnn/onnx_pretrained.py<span class="w"> </span><span class="se">\</span>
 <span class="w">  </span>--nn-model<span class="w"> </span>./tdnn/exp/model-epoch-14-avg-2.onnx<span class="w"> </span><span class="se">\</span>