ANE/.gitignore

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# Build artifacts
*.o
*.dSYM/
# Root-level compiled binaries
ane_probe
api_explore
inmem_basic
inmem_bench
inmem_peak
sram_bench
sram_probe
# Training binaries
tiny_train
tiny_train_m1
train_large
training/train_large
training/train_large_ane
training/train_opt
training/train_double_buffer
training/test_*
!training/test_*.m
# Inference binaries and runtime data
inference/qwen_ane
inference/qwen05b.bin
inference/qwen05b_f32.bin
inference/qwen05b_f16.bin
inference/qwen05b_q8.bin
inference/.venv/
inference/benchmark_results.json
# Dynamic training binaries
training/training_dynamic/train
# Test/research binaries
test_chaining
# Generated mlpackage files
/tmp/ane_*.mlpackage
# Benchmark results (keep community_benchmarks/ submissions)
benchmark_results_*.txt
community_benchmarks/SUMMARY.json
community_benchmarks/SUMMARY.md
community_benchmarks/apple_m4_max_20260303_*.json
# Python
__pycache__/
*.pyc
*.egg-info/
/tmp/ane_venv/
# Training data (downloaded separately)
assets/
# Web dashboard (lives in separate private repo)
web/
# Training data binaries (downloaded via make setup)
training/tinystories_data00.bin
training/ane_stories110M_ckpt.bin
*.bin
*.metallib
!training/download_data.sh
# Secrets / env
.env
inference/.env
# Internal / private
.cursor/
docs/launch/
comm
# macOS
.DS_Store
# Editor
*.swp
*.swo
*~