skrohit22087

it does work on my 6500m using directml. Try running with `python run.py --execution-provider dml --execution-threads 1 --max-memory 4` and increase the value of threads and max-memory according to you...

Try running with --execution-threads 1 and increase the value according to you gpu's vram usage

> > Try running with --execution-threads 1 and increase the value according to you gpu's vram usage > > This didn't fix the issue for me.I tried with multiple values...

> Using `"python run.py --execution-provider dml --execution-threads 1"` works for DirectML video processing. > > Going any higher on execution-threads than 1 crashes on this line: > > ``` >...

@nicolasxbx @MysteryInAustralia "The DirectML execution provider does not support the use of memory pattern optimizations or parallel execution in onnxruntime." according to https://github.com/microsoft/onnxruntime-openenclave/blob/openenclave-public/docs/execution_providers/DirectML-ExecutionProvider.md