CafeClope's picture
download
raw
1.55 kB
PYTHON ?= python3
LATEX_COMPILE ?= python3 /Users/benjaminfalkenburg/.codex/plugins/cache/openai-bundled/latex/0.2.2/scripts/compile_latex.py
.PHONY: test benchmark benchmark-strong report report-strong figures figures-strong whitepaper all-commercial all-commercial-strong
test:
PYTHONPATH=. $(PYTHON) -m pytest -q tests
benchmark:
bash scripts/run_commercial_benchmark.sh runs/commercial_benchmark_a100
benchmark-strong:
bash scripts/run_stronger_commercial_benchmark.sh runs/commercial_benchmark_a100_20seed
report:
PYTHONPATH=. $(PYTHON) scripts/build_target_savings_report.py \
--input runs/commercial_benchmark_a100/combined/raw/evaluations.csv \
--outdir runs/commercial_benchmark_a100/target_savings
report-strong:
PYTHONPATH=. $(PYTHON) scripts/build_target_savings_report.py \
--input runs/commercial_benchmark_a100_20seed/combined/raw/evaluations.csv \
--outdir runs/commercial_benchmark_a100_20seed/target_savings
figures:
PYTHONPATH=. $(PYTHON) scripts/build_paper_figures.py \
--input-dir runs/commercial_benchmark_a100 \
--outdir runs/paper_figures
figures-strong:
PYTHONPATH=. $(PYTHON) scripts/build_paper_figures.py \
--input-dir runs/commercial_benchmark_a100_20seed \
--outdir runs/paper_figures_20seed
whitepaper:
$(LATEX_COMPILE) /Users/benjaminfalkenburg/Documents/hdbasin/paper/hd_basinflow_paper.tex \
--output-directory /Users/benjaminfalkenburg/Documents/hdbasin/paper/build
all-commercial: test report figures whitepaper
all-commercial-strong: test report-strong figures-strong whitepaper

Xet Storage Details

Size:
1.55 kB
·
Xet hash:
d8195c190f0fe60cfe1cebfe1a6b4cd7fde56e193ce6655c401e4dc402a3f88d

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.