We made PyTorch profiling usable for ML engineers

Show HN: We made PyTorch profiling usable for ML engineers

We made PyTorch profiling usable for ML engineers operates in show hn launch.

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If you've ever tried to profile PyTorch or other Python code, you know that it can be painful to setup right. Nsight profiler is great, but it feels like using a sledgehammer to hang a picture frame when you're coming from a Python background.We're building Chisel to solve this. Instead of wrestling with nvtx events and complex CUDA interfaces, you just add decorators to the functions you want to profile. As simple as:app = ChiselApp("my-app", gpu=GPUType.A100_80GB_1)@app.capture_trace(trace_name="gpu_task")These 2 lines will get you the profiling trace for your code on an A100.Run your code normally, then view results in a clean dashboard or locally.Documentation: https://herdora.mintlify.a

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Website: herdora.mintlify.app