#!/bin/bash # Extract what the compilers already generated, so you can start from it instead of from scratch. # ./dump_ir.sh triton python3 my_triton.py # PTX / TTGIR / LLIR / cubin from Triton # ./dump_ir.sh inductor python3 my_model.py # the Triton that torch.compile generated # ./dump_ir.sh sass my_kernel.cubin|.so # what actually landed on the machine set -uo pipefail MODE=${1:-triton}; shift case "$MODE" in triton) D=${TRITON_DUMP_DIR:-/tmp/triton_dump}; rm -rf "$D"; mkdir -p "$D" TRITON_KERNEL_DUMP=1 TRITON_DUMP_DIR="$D" TRITON_ALWAYS_COMPILE=1 "$@" || exit $? echo "== artifacts in $D ==" find "$D" \( -name "*.ptx" -o -name "*.ttgir" -o -name "*.llir" -o -name "*.cubin" \) | head -24 echo echo "Read the .ttgir for the layouts Triton chose and the .ptx for what it emitted." echo "Then: ./dump_ir.sh sass -- the SASS that actually ran." ;; inductor) TORCH_LOGS=output_code TORCHINDUCTOR_MAX_AUTOTUNE=1 "$@" 2>&1 | tee /tmp/inductor_out.log echo "== generated Triton kernels =="; grep -n "def triton_" /tmp/inductor_out.log | head -20 echo "Inductor's autotuned choice is a strong starting point -- read it before writing your own." ;; sass) F=${1:-} [ -n "$F" ] && [ -f "$F" ] || { echo "usage: dump_ir.sh sass (no such file: '${F}')" >&2; exit 1; } cuobjdump -sass "$F" > /tmp/kernel.sass || { echo "cuobjdump failed on $F" >&2; exit 1; } [ -s /tmp/kernel.sass ] || { echo "no SASS in $F (not a cubin / no device code?)" >&2; exit 1; } head -40 /tmp/kernel.sass; echo "..." echo "== register spills (LDL/STL) =="; grep -cE "\bLDL\b|\bSTL\b" /tmp/kernel.sass || true echo "== tensor-core instructions =="; grep -coE "HMMA|IMMA|QGMMA|wgmma" /tmp/kernel.sass || true echo "full listing: /tmp/kernel.sass" echo "Zero MMA instructions where you expected tensor cores means the MMA never issued." ;; *) echo "usage: dump_ir.sh {triton|inductor|sass} ..." >&2; exit 1 ;; esac