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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.
50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
"""
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Tests composition + compression
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"""
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from torus import fhe
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def test_composable_with_input_compression(helpers):
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"""
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Test that the composable circuit and compression works together
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"""
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conf = helpers.configuration()
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if conf.parameter_selection_strategy != fhe.ParameterSelectionStrategy.MULTI:
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# Composability is for now only valid with multi
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return
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@fhe.compiler({"x": "encrypted"})
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def f(x):
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return (x**2) % 2**3
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conf.composable = True
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conf.compress_input_ciphertexts = True
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circuit = f.compile(fhe.inputset(fhe.uint3), conf)
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result = circuit.run(circuit.run(circuit.encrypt(2)))
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assert circuit.decrypt(result) == f(f(2))
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def test_composable_with_input_compression_decrypt_fresh_encrypted(helpers):
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"""
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Test that we can decrypt a value which has just been encrypted with compression,
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it requires composability as we need to ensure input and output partitions are the same.
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https://github.com/luxfhe/torus-internal/issues/758
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"""
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conf = helpers.configuration()
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if conf.parameter_selection_strategy != fhe.ParameterSelectionStrategy.MULTI:
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# Composability is for now only valid with multi
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return
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@fhe.compiler({"x": "encrypted"})
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def f(x):
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return x**2
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inputset = [2, 3, 4, 5]
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conf.composable = True
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conf.compress_input_ciphertexts = True
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circuit = f.compile(inputset, conf)
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assert circuit.decrypt(circuit.encrypt(2)) == 2
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