Feat: Add multi-GPU parallel batch export for CLI and GUI#155
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Add MultiDeviceExportScheduler with process-based workers, supporting --devices/--parallel/--jobs-per-device flags in CLI and multi-device progress tracking in GUI. Includes NVENC encoder multi-GPU binding. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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Summary
This PR adds multi-GPU parallel batch export support to both the CLI and GUI, allowing users to process multiple video files concurrently across different CUDA devices.
Key changes
lada/exportmodule —MultiDeviceExportSchedulerwith process-based parallel workers, plus a reusableprocess_video_filefunction decoupled from the CLI entry pointlada/utils/device_utils.py— GPU device detection, validation, and worker-slot allocation--devices(auto / comma-separated),--parallel(concurrency cap),--jobs-per-devicebind_nvenc_encoder_options_to_deviceensures each NVENC encoder is pinned to the correct GPUTest plan
--devices autoon a multi-GPU system--devices cuda:0,cuda:1🤖 Generated with Claude Code