Torchaudio ffmpeg 12和torchaudio==0. 12，所以我假设您是在使用这些版本时遇到了错误。 从TorchAudio 0. io/nv 传统上，TorchAudio 的 I/O 后端在运行时根据可用性全局设置。 但是，这种方法不允许应用程序使用不同的后端，并且不适合大型代码库。 由于这些原因，在 v2. 0 中，我们引入了一个调度器，这是一种允许用户为每个函数调用选择后端的新机制。 Mar 26, 2024 · In the latest versions of torchaudio (e. This tutorial shows how to use NVIDIA’s hardware video decoder (NVDEC) with TorchAudio, and how it improves the performance of video decoding. 2 c4c1957. When "sox_io" backend is used, first it tries to load audio using libsox, and when it fails, it further May 2, 2023 · Something curious that I noticed that might push you in the right direction, in your conda environment listing, your ffmpeg is listed as follows: ffmpeg 5. Currently, my docker image looks like this: FROM nvcr. Nov 14, 2023 · The above exception was the direct cause of the following exception: Traceback (most recent call last): File "c:\Users\USER\Desktop\MyChatBot\0. Reinstall a supported FFmpeg version and then it should work. Please refer to the stacktrace above for how to resolve this. Repro: Make a new conda environment; Install torchaudio and FFmpeg Oct 14, 2022 · A possible explanation is that there are multiple installations of FFmpeg in your system and torchaudio is picking up the one without NVDEC support, while when you invoke ffmpeg command, the one with NVDEC support is loaded. Specifically, the commands I use are: waveform, sr = torchaudio. Reload to refresh your session. 默认情况下，torchaudio 尝试构建 FFmpeg 扩展，以支持多个 FFmpeg 版本。此过程使用为特定 CPU 架构（如 x86_64 ）编译的预构建 FFmpeg 库。 如果您的 CPU 不同，则构建过程可能会失败。 [Optional] Build TorchAudio with a custom FFmpeg¶ By default, torchaudio tries to build FFmpeg extension with support for multiple FFmpeg versions. items(): print(f"{k}: {v}") RuntimeError: get_input_devices requires FFmpeg extension which is not available. Linux, macOS, Windows. utils:Attempting to load FFmpeg version 5. If you need to use FFmpeg 5, please build TorchAudio from source. It only converts the sample type to torch. StreamReader to load and resample audio. 本教程需要使用启用硬件加速的 FFmpeg 库进行编译。 请参阅 启用 GPU 视频解码器/编码器 ，了解如何构建启用硬件加速的 FFmpeg。 传统上，TorchAudio 的 I/O 后端在运行时根据可用性全局设置。 但是，这种方法不允许应用程序使用不同的后端，并且不适合大型代码库。 由于这些原因，在 v2. If your CPU is not one of those, then the build process can fail. StreamReader (src: str, format: If string-type, it must be a resource indicator that FFmpeg can handle. 注意. Use get_audio_decoders() and get_audio_encoders() to retrieve the supported codecs. spark Gemini [ ] Run cell (Ctrl+Enter) cell has not been executed in this session. When trying to load using torchaudio, got the following error: No audio I/O backend is available. Jul 22, 2024 · I'm trying to perform GPU video encoding/decoding using PyTorch. The new logic can be enabled in the current release by setting environment variable TORCHAUDIO_USE_BACKEND_DISPATCHER=1. 12开始，mp3解码需要FFmpeg。 当使用"sox_io"后端时，首先它会尝试使用libsox加载音频文件，如果失败，它会进一步尝试使用FFmpeg加载音频 [Optional] Build TorchAudio with a custom built FFmpeg¶ By default, torchaudio tries to build FFmpeg extension with support for multiple FFmpeg versions. Aug 16, 2022 · Starting from TorchAudio 0. Please see the below screenshot: Nov 7, 2023 · You can use torchaudio. Environment: To reproduce, set up the following environment: conda create -n test_env python=3. g. io import StreamReader streamer = StreamReader( &hellip; Note. This process uses pre-built FFmpeg libraries compiled for specific CPU architectures like x86_64 and aarch64 (arm64). list_audio_backends The list of available backends. 0 Mar 21, 2024 · 解决 RuntimeError：找不到合适的引擎来处理 None 格式的音频文件. [Optional] Build TorchAudio with a custom FFmpeg¶ By default, torchaudio tries to build FFmpeg extension with support for multiple FFmpeg versions. This means compiling FFmpeg from source along with Nvidia codec headers. _extension:Failed to initialize ffmpeg bindings Traceback (most recent call last): File "N:\AI_Share\GPT-SoVITS\runtime\lib\site-packages\torchaudio_extension\utils. 4. TorchAudio 2. Note. 0 Clang version: Could not collect CMake version: version 3. So I run the follow Priority. Installation of FFmpeg itself with the declaration of the environment variable did not help at all. 3 Libc version: glibc-2. 1) 9. FFmpeg libraries compiled with NVDEC/NVENC support. so. Aug 1, 2022 · That means the proper solution for torchaudio>=0. 尝试但没解决问题的方法包括. 加载各种格式的音频/视频. † PyTorch / TorchAudio with CUDA support. normalize argument does not perform volume normalization. Dec 11, 2024 · 使用 torchaudio. load()). As far as I can see, torchaudio moved to ffmpeg as the main cross-platform library, but still too many problems. ffmpeg_utils 中有一些實用函數可以用來查詢 FFmpeg 的功能。 您可以先使用 get_video_decoders() 和 get_video_encoders() 來檢查是否列出了 GPU 解碼器和編碼器 (例如 h264_cuvid 和 h264_nvenc)。 通常情況下，系統中有多個 FFmpeg 安裝，而 TorchAudio 載入的與預期不同。 Mar 22, 2023 · The problem is that now, the python code does not see the ffmpeg: from torchaudio. 12, mp3 decoding requires FFmpeg. get_audio_backend() function has been deprecated and you should use torchaudio. 0 中，我们引入了一个调度器，这是一种允许用户为每个函数调用选择后端的新机制。 Priority. This tutorial shows how to use torchaudio. 1 - 4. In such cases, use of ffmpeg to check the installation does not help. About. 12, FFmpeg installed via conda-forge was detected properly, but it does not work with 0. 6 LTS (x86_64) GCC version: (Ubuntu 9. 10. py", line 87, in _init_ffmpeg [Optional] Build TorchAudio with a custom FFmpeg¶ By default, torchaudio tries to build FFmpeg extension with support for multiple FFmpeg versions. _extension:Failed to initialize ffmpeg bindings Traceback (most recent call last): File "D:\AIGC\GPT-SoVITS\runtime\lib\site-packages\torchaudio_extension\utils. This backend Supports various protocols, such as HTTPS and MP4, and file-like objects. clear_cuda_context_cache [source] ¶ Clear the CUDA context used by CUDA Hardware accelerated video decoding. DEBUG:torchaudio. clear_cuda_context_cache [源代码] ¶. That is, libavutil. @misc {hwang2023torchaudio, title = {TorchAudio 2. BUILD_SOX : Enable/disable I/O features based on libsox. These third party libraries are called backend, FFmpeg. _extension. torchaudio's ffmpeg documentation is also very cryptic. _FFMPEG_INITIALIZED and if it is False, then we need to remind the user to install a dynamically linked ffmpeg 4. 0 is to check torchaudio. And when I install torchvision (using conda Jun 8, 2023 · I'm using torchaudio (version 2. float32 from the native sample type. When you use the add_basic_audio_stream method with sample_rate option, it will use FFmpeg's filter function to apply resampling. It seems that it's much faster to spawn an ffmpeg process and capture its output than to use torchaudio. ffmpeg_utils. 当使用 Torchaudio 库处理音频文件时，你可能会遇到一个棘手的错误：“RuntimeError：找不到合适的引擎来处理 uri dataset/data/0. get_audio_decoders¶ torchaudio. TorchAudio official binary distributions are compatible with FFmpeg 4. py", line 85, in _init_ffmpeg 在 torchaudio. 清除 CUDA 硬件加速视频解码使用的 CUDA 上下文缓存. py. It affects functionalities in torchaudio. Supported OS. load 时出现崩溃，如图. Community. _init_ffmpeg() to force a user-visible exception showing the missing ffmpeg dynamic library name. In the following, we build FFmpeg 4 libraries with NVDEC/NVENC support. utils import ffmpeg_utils. 2 Whereas your get-command ffmpeg yielded ffmpeg 0. Learn about the PyTorch foundation. io (and indirectly torchaudio. 8 ROCM used to build PyTorch: N/A OS: Ubuntu 20. In the StreamReader Advanced Usages, the examples provided are for Mac which I don’t have one. com and signed with GitHub’s verified signature. dev20230608 Is debug build: False CUDA used to build PyTorch: 11. To check the available devices, muxers and encoders, you can use the following commands Warning. 0. . Author: Moto Hira. Oct 14, 2022 · I am following this tutorial about hardware-accelerated gpu encoding/decoding for PyTorch [https://pytorch. I benchmarked torchaudio vs ffmpeg for reading a long OPUS file (> 1h long, comes from GigaSpeech). dylib for macOS, and avutil-<VERSION>. To check the available muxers and encoders, you can use the following command Oct 13, 2022 · 一个可能的解释是，您的系统中有多个FFmpeg安装，torchaudio正在获取没有NVDEC支持的安装，而当您调用ffmpeg命令时，加载具有NVDEC支持的ffmpeg命令。 也许您可以检查您的系统，看看是否有多个FFmpeg安装，并删除那些没有NVDEC支持的？ 通常情况下，系统中安装了多个 FFmpeg，而 TorchAudio 加载的版本与预期的不同。在这种情况下，使用 ffmpeg 检查安装没有帮助。您可以使用诸如 get_build_config() 和 get_versions() 之类的函数来获取有关 TorchAudio 加载的 FFmpeg 库的信息。 TorchAudio dynamically loads compatible FFmpeg libraries installed on the system. pyd就在torchaudio包的lib目录下，但是就是_load_lib会抛出异常 Note. 重装 cuda，重装 pytorch，安装 PySoundFile、SoundFile、sox。 Jul 31, 2024 · You signed in with another tab or window. You can also use FFmpeg 5 or 6. <VERSION>. 0). Return type: list of str. In 0. To check the available muxers and encoders, you can use the following command Using the GPU decoder/encoder from TorchAudio¶ Checking the installation¶ Once the FFmpeg is properly working with hardware acceleration, we need to check if TorchAudio can pick it up correctly. TorchAudio’s official binary distributions are compiled to work with FFmpeg libraries, and they contain the logic to use hardware decoding/encoding. There are utility functions to query the capability of FFmpeg in torchaudio. ffmpeg_utils """Module to change the configuration of FFmpeg libraries (such as libavformat). list_audio_backends() instead. pyd就在torchaudio包的lib目录下，但是就是_load_lib会抛出异常 FFmpeg. set_audio_backend, with FFmpeg being the default backend. 1 will revise torchaudio. 采用镜像方式安_install using conda: conda install ffmpeg -c conda-forge python 安装 ffmpeg包--简便方法 TorchAudio’s official binary distributions are compiled with FFmpeg 4 libraries, and they contain the logic required for hardware-based decoding/encoding. dll for Windows. The new API can be enabled in the current release by setting environment variable TORCHAUDIO_USE_BACKEND_DISPATCHER=1. 从本地/远程源加载音频/视频 Oct 28, 2022 · TorchAudio 0. Apr 27, 2023 · Attempted solutions: I have tried reinstalling torch and torchaudio multiple times, both globally and within a virtual environment. 13 binaries seems to have FFmpeg search path hardcoded. When searching for FFmpeg installation, TorchAudio looks for library files which have names with version numbers. To check the available devices, muxers and encoders, you can use the following commands Jan 17, 2023 · Whisper [Colab example] Whisper is a general-purpose speech recognition model. info, torchaudio. jelnuo bvdiu okfvo bjma kovt sojyu wrpwpjt wogcz voynktw jka yhixtde cqb bjj rrnden wbqts