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Forked from upstream concrete (BSD-3-Clause-Clear, © 2024 ZAMA) at HEAD
ecb729bb. Modifications copyright © 2026 Lux Industries Inc.
Rebranding scope:
- Python module concrete → torus (across frontends/torus-python)
- Rust module concrete-* → torus-* (across frontends/torus-rust)
- MLIR dialect concretelang → toruslang (across compilers/torus-compiler)
- Compiler optimizer concrete-optimizer → torus-optimizer
- Backend concrete-cpu / concrete-cuda → torus-cpu / torus-cuda
- Wire protocol concrete-protocol → torus-protocol
- Parameter-curves concrete-security-curves-* → torus-security-curves-*
- Public symbols concretelib → toruslib, ConcreteLang → TorusLang
- URLs github.com/zama-ai/concrete → github.com/luxfhe/torus
- URLs docs.zama.ai/concrete → docs.luxfhe.com/torus
Legal compliance:
- LICENSE.txt retains original Copyright © 2024 ZAMA verbatim (§1-§2)
- LICENSE.txt adds modifications copyright © 2026 Lux Industries Inc.
- §3 endorsement clause: Torus is marketed exclusively as a Lux product;
no Zama name used in README, docs, or marketing
- NOTICE file provides factual attribution per legal best practice
(not endorsement; required by upstream BSD-3-Clause-Clear)
README + NOTICE rewritten from scratch with Lux brand:
- Quick-start in Python (torus.fhe)
- Architecture diagram showing the gen-1 vtbl integration path
(luxcpp/gpu → lux-private/gpu-kernels for CUDA/Metal/WebGPU)
- Scheme coverage table: TFHE (luxfi/fhe), CKKS/BGV/BFV (luxfi/lattice)
- Lux FHE family table: Torus / TorusVM / TorusEVM / TorusML / TorusNet
Known limitations (phase-2A scope):
- PyPI package torus-fhe not yet published; the torus Python module
is renamed structurally but pip-installable distribution is a
follow-up (Phase 2A.1)
- MLIR dialect rename is text-level; the compiler-internal LLVM
rebuild (concrete-compiler-internal-llvm-project submodule) is
structural and works; tablegen files renamed concrete→torus but the
generated .inc files in the source tree will regenerate at build
time
- backends/torus-cuda/implementation/ is an upstream submodule
pointer to the tfhe-rs source (not fetched in the staging clone);
the CUDA backend body is delivered out-of-tree
- ~100 test-fixture variable names like concrete_encoded_sample
retain "concrete" as a math term (vs symbolic); these are inside
tests/, not the public API; cleanup is a follow-up commit
- 295 Python `from concrete import ...` residuals in luxfhe/ml-sdk
consumer remain; that repo's import update is Phase 2B
This commit is the seed for the luxfhe/torus repo. Push as the first
commit to a fresh GitHub repo; do not re-import upstream Zama git
history.
113 lines
3.3 KiB
Python
113 lines
3.3 KiB
Python
"""
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Benchmarks of the game of life example.
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"""
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from pathlib import Path
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import numpy as np
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import py_progress_tracker as progress
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from torus import fhe
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from examples.game_of_life.game_of_life import GameOfLife
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def benchmark_computing_next_state(gol: GameOfLife, client: fhe.Client, server: fhe.Server):
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"""
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Benchmark computing the next state in the game of life simulation.
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"""
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print("Warming up...")
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sample_state = np.random.randint(0, 2, size=(1, 1, gol.dimension, gol.dimension))
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encrypted_sample_state = client.encrypt(sample_state)
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ran = server.run( # noqa: F841 # pylint: disable=unused-variable
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encrypted_sample_state,
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evaluation_keys=client.evaluation_keys,
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)
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for i in range(5):
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print(f"Running subsample {i + 1} out of 5...")
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sample_state = np.random.randint(0, 2, size=(1, 1, gol.dimension, gol.dimension))
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encrypted_sample_state = client.encrypt(sample_state)
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with progress.measure(id="evaluation-time-ms", label="Evaluation Time (ms)"):
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ran = server.run( # noqa: F841 # pylint: disable=unused-variable
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encrypted_sample_state,
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evaluation_keys=client.evaluation_keys,
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)
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def targets():
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"""
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Generates targets to benchmark.
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"""
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result = []
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for dimension in [4, 8]:
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for implementation in GameOfLife.implementations():
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result.append(
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{
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"id": (
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f"game-of-life :: "
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f"Game of Life "
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f"| {dimension} x {dimension} | {implementation}"
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),
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"name": (
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f"Advancing Game of Life simulation "
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f"of size {dimension} x {dimension} "
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f"with {implementation.replace('_', ' ')}"
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),
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"parameters": {
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"dimension": dimension,
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"implementation": implementation,
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},
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}
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)
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return result
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@progress.track(targets())
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def main(dimension, implementation):
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"""
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Benchmark a target.
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Args:
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dimension:
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dimension of the game of life simulation
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implementation:
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implementation of the game of life simulation
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"""
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print("Compiling...")
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cached_server = Path(f"game_of_life.{dimension}.{implementation}.server.zip")
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if cached_server.exists():
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gol = GameOfLife.implementation(
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implementation,
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dimension,
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compiled=False,
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)
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server = fhe.Server.load(cached_server)
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client = fhe.Client(server.client_specs, keyset_cache_directory=".keys")
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else:
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gol = GameOfLife.implementation(
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implementation,
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dimension,
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configuration=fhe.Configuration(
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enable_unsafe_features=True,
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use_insecure_key_cache=True,
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insecure_key_cache_location=".keys",
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),
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compiled=True,
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)
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server = gol.circuit.server
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client = gol.circuit.client
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server.save(cached_server)
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print("Generating keys...")
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client.keygen()
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benchmark_computing_next_state(gol, client, server)
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