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Deterministic numerical bisection debugger for Triton FP drift - find where allclose fails without device_print or TRITON_INTERPRET
1 starsPython
Triton-blackhole – debug Triton FP drift without device_print
by nesh23·Jul 23, 2026·1 point·0 comments
AI Analysis
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Bisects Triton kernel failures to exact indices without flooding logs with device_print spam.
Strengths
- •Classifies drift types like reduction_order or dtype_cast instead of just reporting mismatch.
- •Works on compiled kernels without needing the slow and incompatible TRITON_INTERPRET mode.
Weaknesses
- •Live kernel execution requires NVIDIA hardware, limiting local testing for Mac users.
- •Niche audience limited to the relatively small subset of developers writing raw Triton code.
Category
Target Audience
ML engineers and CUDA developers writing custom Triton kernels for GPU acceleration
Similar To
Nsight Compute · cuda-gdb · PyTorch Profiler
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