m

.vscode/launch.json

@@ -0,0 +1,12 @@
+{
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python Debugger: Current File",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "${file}",
+            "console": "integratedTerminal"
+        }
+    ]
+}

readme.txt

@@ -7,10 +7,40 @@ hf download JerryAGENDD/JLSpeech_tokenized --repo-type=dataset
 conda create -n RWKVTTS python==3.10 pip
 conda activate RWKVTTS
 pip install torch --upgrade --extra-index-url https://download.pytorch.org/whl/cu130
-pip install numpy py-cpuinfo
-$env:DS_BUILD_OPS=0; $env:DS_BUILD_AIO=0; pip install pytorch-lightning==1.9.5 deepspeed wandb ninja --upgrade --no-build-isolation
+pip install datasets accelerate
+pip install pytorch-lightning==1.9.5 deepspeed wandb ninja --upgrade --no-build-isolation
 
-pip install "setuptools<70"
 
+export PATH=/usr/local/cuda/bin:/root/miniforge3/envs/RWKVTTS/bin:$PATH
+source ~/.bashrc
+  which ninja
+  让系统能找到 ninja
 
+Toolkit:  Installed in /usr/local/cuda-13.0/
 
+Please make sure that
+ -   PATH includes /usr/local/cuda-13.0/bin
+ -   LD_LIBRARY_PATH includes /usr/local/cuda-13.0/lib64,
+
+
+update-alternatives --remove cuda /usr/local/cuda-12.2
+update-alternatives --install /usr/local/cuda cuda /usr/local/cuda-13.0 130
+ln -sfT /usr/local/cuda-13.0 /etc/alternatives/cuda
+ln -sfT /etc/alternatives/cuda /usr/local/cuda
+
+
+vi ~/.bashrc 
+
+if [ -z $LD_LIBRARY_PATH ]; then
+  LD_LIBRARY_PATH=/usr/local/cuda-13.0/lib64
+else
+  LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-13.0/lib64
+fi
+export LD_LIBRARY_PATH
+
+export PATH=/usr/local/cuda/bin:$PATH
+
+
+source ~/.bashrc 
+
+nvcc --version