Merge branch 'main' of https://github.com/meta-pytorch/torchcodec into python314_on_ci

Author: Dan-Flores

CONTRIBUTING.md

@@ -30,7 +30,7 @@ Start by installing the **nightly** build of PyTorch following the
 Then, the easiest way to install the rest of the dependencies is to run:
 
 ```bash
-conda install cmake pkg-config pybind11 "ffmpeg<8" -c conda-forge
+conda install cmake pkg-config pybind11 "ffmpeg" -c conda-forge
 ```
 
 ### Clone and build

README.md

@@ -107,16 +107,16 @@ ffmpeg -f lavfi -i \
    `torch` and `torchcodec`.
 
 2. Install FFmpeg, if it's not already installed. Linux distributions usually
-   come with FFmpeg pre-installed. TorchCodec supports major FFmpeg versions
-   in [4, 7] on all platforms, and FFmpeg version 8 is supported on Mac and Linux.
+   come with FFmpeg pre-installed. TorchCodec supports supports all major FFmpeg versions
+   in [4, 8].
 
    If FFmpeg is not already installed, or you need a more recent version, an
    easy way to install it is to use `conda`:
 
    ```bash
-   conda install "ffmpeg<8"
+   conda install "ffmpeg"
    # or
-   conda install "ffmpeg<8" -c conda-forge
+   conda install "ffmpeg" -c conda-forge
    ```
 
 3. Install TorchCodec:
@@ -148,16 +148,15 @@ format you want. Refer to Nvidia's GPU support matrix for more details
 [here](https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new).
 
 1. Install FFmpeg with NVDEC support.
-   TorchCodec with CUDA should work with FFmpeg versions in [4, 7] on all platforms,
-   and FFmpeg version 8 is supported on Linux.
+   TorchCodec with CUDA should work with FFmpeg versions in [4, 8].
 
    If FFmpeg is not already installed, or you need a more recent version, an
    easy way to install it is to use `conda`:
 
    ```bash
-   conda install "ffmpeg<8"
+   conda install "ffmpeg"
    # or
-   conda install "ffmpeg<8" -c conda-forge
+   conda install "ffmpeg" -c conda-forge
    ```
 
    After installing FFmpeg make sure it has NVDEC support when you list the supported

src/torchcodec/_core/Metadata.h

@@ -22,11 +22,11 @@ enum class SeekMode { exact, approximate, custom_frame_mappings };
 
 struct StreamMetadata {
   // Common (video and audio) fields derived from the AVStream.
-  int streamIndex;
+  int streamIndex = -1;
 
   // See this link for what various values are available:
   // https://ffmpeg.org/doxygen/trunk/group__lavu__misc.html#ga9a84bba4713dfced21a1a56163be1f48
-  AVMediaType mediaType;
+  AVMediaType mediaType = AVMEDIA_TYPE_UNKNOWN;
 
   std::optional<AVCodecID> codecId;
   std::optional<std::string> codecName;

src/torchcodec/_core/SingleStreamDecoder.cpp

@@ -1039,7 +1039,7 @@ AudioFramesOutput SingleStreamDecoder::getFramesPlayedInRangeAudio(
         firstFramePtsSeconds = frameOutput.ptsSeconds;
       }
       frames.push_back(frameOutput.data);
-    } catch (const EndOfFileException& e) {
+    } catch (const EndOfFileException&) {
       finished = true;
     }
 

src/torchcodec/_core/ops.py

@@ -70,7 +70,7 @@ def load_torchcodec_shared_libraries():
     raise RuntimeError(
         f"""Could not load libtorchcodec. Likely causes:
           1. FFmpeg is not properly installed in your environment. We support
-             versions 4, 5, 6, and 7 on all platforms, and 8 on Mac and Linux.
+             versions 4, 5, 6, 7, and 8.
           2. The PyTorch version ({torch.__version__}) is not compatible with
              this version of TorchCodec. Refer to the version compatibility
              table: