EnergyIR
Measurement-first efficiency tooling for numerical and ML Python.
pip install energyir installs the energy CLI — diagnostic tools that measure-verify
performance/energy fixes in your numpy / PyTorch / JAX / pandas code, plus BLAS, dependency-upgrade,
and CVE-reachability checks, and a reuse runtime. Diagnosis and measurement are free; advanced
optimization features are licensed.
- Install:
pip install energyir(Python 3.11+) - Docs: https://energyir.io/docs
- License: Apache-2.0
- Contact: david@energyir.io
EnergyFlow — whole-program compilation
energyir.flow sees a whole application rather than one call: what depends on
what, which state continues and which resets, which draws are independent, which
stages are barriers, and which groupings are legal. It then lowers every
candidate to the residency compiler, which remains the only thing that decides
where values live and what crossing the boundary costs.
from energyir import flow
with flow.capture(name="bundle") as f: # existing code, unchanged
x, _ = thermo_solve(A, b)
d, _ = thermo_logdet(A)
compilation = flow.compile_program(f.build())
print(flow.explain(compilation)) # every decision, every refusal
It reports hard counts, never a projected joule, and it refuses rather than guessing: an unsupported state mode, a random stream two "independent" replicas would share, a commit that could race its own verification, or a comparison between a measured number and a modelled one all produce a named refusal.
energy flow check|compile|explain|run|verify|targets|capture-registry
1 maintainer
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