mirror of
https://github.com/luxfhe/torus.git
synced 2026-10-30 17:07:26 +00:00
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.
339 lines
11 KiB
Python
339 lines
11 KiB
Python
"""
|
|
Benchmarks of the static key value database example.
|
|
"""
|
|
|
|
import random
|
|
from pathlib import Path
|
|
|
|
import numpy as np
|
|
import py_progress_tracker as progress
|
|
|
|
from torus import fhe
|
|
from examples.key_value_database.static_size import StaticKeyValueDatabase
|
|
|
|
|
|
def benchmark_insert(db: StaticKeyValueDatabase, client: fhe.Client, server: fhe.Server):
|
|
"""
|
|
Benchmark inserting an entry to the database.
|
|
"""
|
|
|
|
print("Warming up...")
|
|
|
|
sample_key = random.randint(0, 2**db.key_size - 1)
|
|
sample_value = random.randint(0, 2**db.value_size - 1)
|
|
|
|
# Initial state only contains odd keys for benchmarks.
|
|
# To avoid collisions, we'll make sure that sample_key is even.
|
|
if sample_key % 2 == 1:
|
|
sample_key -= 1
|
|
|
|
encoded_sample_key = db.encode_key(sample_key)
|
|
encoded_sample_value = db.encode_value(sample_value)
|
|
|
|
_, encrypted_sample_key, encrypted_sample_value = client.encrypt( # type: ignore
|
|
None,
|
|
encoded_sample_key,
|
|
encoded_sample_value,
|
|
function_name="insert",
|
|
)
|
|
ran = server.run( # noqa: F841 # pylint: disable=unused-variable
|
|
db.state,
|
|
encrypted_sample_key,
|
|
encrypted_sample_value,
|
|
function_name="insert",
|
|
evaluation_keys=client.evaluation_keys,
|
|
)
|
|
|
|
for i in range(5):
|
|
print(f"Running subsample {i + 1} out of 5...")
|
|
|
|
sample_key = random.randint(0, 2**db.key_size - 1)
|
|
sample_value = random.randint(0, 2**db.value_size - 1)
|
|
|
|
if sample_key % 2 == 1:
|
|
sample_key -= 1
|
|
|
|
encoded_sample_key = db.encode_key(sample_key)
|
|
encoded_sample_value = db.encode_value(sample_value)
|
|
|
|
_, encrypted_sample_key, encrypted_sample_value = client.encrypt( # type: ignore
|
|
None,
|
|
encoded_sample_key,
|
|
encoded_sample_value,
|
|
function_name="insert",
|
|
)
|
|
|
|
with progress.measure(id="evaluation-time-ms", label="Evaluation Time (ms)"):
|
|
ran = server.run( # noqa: F841
|
|
db.state,
|
|
encrypted_sample_key,
|
|
encrypted_sample_value,
|
|
function_name="insert",
|
|
evaluation_keys=client.evaluation_keys,
|
|
)
|
|
|
|
|
|
def benchmark_replace(db: StaticKeyValueDatabase, client: fhe.Client, server: fhe.Server):
|
|
"""
|
|
Benchmark replacing an entry in the database.
|
|
"""
|
|
|
|
print("Warming up...")
|
|
|
|
sample_key = random.randint(0, db.number_of_entries // 2) * 2
|
|
sample_value = random.randint(0, db.number_of_entries // 2) * 2
|
|
|
|
# Initial state only contains odd keys for benchmarks.
|
|
# To actually replace, we'll make sure that sample_key is odd.
|
|
if sample_key % 2 == 0:
|
|
sample_key += 1
|
|
|
|
encoded_sample_key = db.encode_key(sample_key)
|
|
encoded_sample_value = db.encode_value(sample_value)
|
|
|
|
_, encrypted_sample_key, encrypted_sample_value = client.encrypt( # type: ignore
|
|
None,
|
|
encoded_sample_key,
|
|
encoded_sample_value,
|
|
function_name="replace",
|
|
)
|
|
ran = server.run( # noqa: F841 # pylint: disable=unused-variable
|
|
db.state,
|
|
encrypted_sample_key,
|
|
encrypted_sample_value,
|
|
function_name="replace",
|
|
evaluation_keys=client.evaluation_keys,
|
|
)
|
|
|
|
for i in range(5):
|
|
print(f"Running subsample {i + 1} out of 5...")
|
|
|
|
sample_key = random.randint(0, db.number_of_entries - 1)
|
|
sample_value = random.randint(0, db.number_of_entries - 1)
|
|
|
|
if sample_key % 2 == 0:
|
|
sample_key += 1
|
|
|
|
encoded_sample_key = db.encode_key(sample_key)
|
|
encoded_sample_value = db.encode_value(sample_value)
|
|
|
|
_, encrypted_sample_key, encrypted_sample_value = client.encrypt( # type: ignore
|
|
None,
|
|
encoded_sample_key,
|
|
encoded_sample_value,
|
|
function_name="replace",
|
|
)
|
|
|
|
with progress.measure(id="evaluation-time-ms", label="Evaluation Time (ms)"):
|
|
ran = server.run( # noqa: F841
|
|
db.state,
|
|
encrypted_sample_key,
|
|
encrypted_sample_value,
|
|
function_name="replace",
|
|
evaluation_keys=client.evaluation_keys,
|
|
)
|
|
|
|
|
|
def benchmark_query(db: StaticKeyValueDatabase, client: fhe.Client, server: fhe.Server):
|
|
"""
|
|
Benchmark querying a key in the database.
|
|
"""
|
|
|
|
print("Warming up...")
|
|
|
|
sample_key = random.randint(0, db.number_of_entries - 1)
|
|
encoded_sample_key = db.encode_key(sample_key)
|
|
|
|
_, encrypted_sample_key = client.encrypt( # type: ignore
|
|
None,
|
|
encoded_sample_key,
|
|
function_name="query",
|
|
)
|
|
ran = server.run( # noqa: F841 # pylint: disable=unused-variable
|
|
db.state,
|
|
encrypted_sample_key,
|
|
function_name="query",
|
|
evaluation_keys=client.evaluation_keys,
|
|
)
|
|
|
|
for i in range(5):
|
|
print(f"Running subsample {i + 1} out of 5...")
|
|
|
|
sample_key = random.randint(0, db.number_of_entries - 1)
|
|
encoded_sample_key = db.encode_key(sample_key)
|
|
|
|
_, encrypted_sample_key = client.encrypt( # type: ignore
|
|
None,
|
|
encoded_sample_key,
|
|
function_name="query",
|
|
)
|
|
with progress.measure(id="evaluation-time-ms", label="Evaluation Time (ms)"):
|
|
ran = server.run( # noqa: F841
|
|
db.state,
|
|
encrypted_sample_key,
|
|
function_name="query",
|
|
evaluation_keys=client.evaluation_keys,
|
|
)
|
|
|
|
|
|
def targets():
|
|
"""
|
|
Generates targets to benchmark.
|
|
"""
|
|
|
|
result = []
|
|
for number_of_entries in [8, 16]:
|
|
for key_size in [8, 16]:
|
|
for value_size in [8, 16]:
|
|
for chunk_size in [2, 4]:
|
|
result.append(
|
|
{
|
|
"id": (
|
|
f"static-kvdb-insert :: "
|
|
f"Static KVDB insert "
|
|
f"| {number_of_entries} * {key_size}->{value_size} ^ {chunk_size}"
|
|
),
|
|
"name": (
|
|
f"Insertion to "
|
|
f"static key-value database "
|
|
f"from {key_size}b to {value_size}b "
|
|
f"with chunk size of {chunk_size} "
|
|
f"on {number_of_entries} entries"
|
|
),
|
|
"parameters": {
|
|
"operation": "insert",
|
|
"number_of_entries": number_of_entries,
|
|
"key_size": key_size,
|
|
"value_size": value_size,
|
|
"chunk_size": chunk_size,
|
|
},
|
|
}
|
|
)
|
|
result.append(
|
|
{
|
|
"id": (
|
|
f"static-kvdb-replace :: "
|
|
f"Static KVDB replace "
|
|
f"| {number_of_entries} * {key_size}->{value_size} ^ {chunk_size}"
|
|
),
|
|
"name": (
|
|
f"Replacement in "
|
|
f"static key-value database "
|
|
f"from {key_size}b to {value_size}b "
|
|
f"with chunk size of {chunk_size} "
|
|
f"on {number_of_entries} entries"
|
|
),
|
|
"parameters": {
|
|
"operation": "replace",
|
|
"number_of_entries": number_of_entries,
|
|
"key_size": key_size,
|
|
"value_size": value_size,
|
|
"chunk_size": chunk_size,
|
|
},
|
|
}
|
|
)
|
|
result.append(
|
|
{
|
|
"id": (
|
|
f"static-kvdb-query :: "
|
|
f"Static KVDB query "
|
|
f"| {number_of_entries} * {key_size}->{value_size} ^ {chunk_size}"
|
|
),
|
|
"name": (
|
|
f"Query of "
|
|
f"static key-value database "
|
|
f"from {key_size}b to {value_size}b "
|
|
f"with chunk size of {chunk_size} "
|
|
f"on {number_of_entries} entries"
|
|
),
|
|
"parameters": {
|
|
"operation": "query",
|
|
"number_of_entries": number_of_entries,
|
|
"key_size": key_size,
|
|
"value_size": value_size,
|
|
"chunk_size": chunk_size,
|
|
},
|
|
}
|
|
)
|
|
return result
|
|
|
|
|
|
@progress.track(targets())
|
|
def main(operation, number_of_entries, key_size, value_size, chunk_size):
|
|
"""
|
|
Benchmark a target.
|
|
|
|
Args:
|
|
operation:
|
|
operation to benchmark
|
|
|
|
number_of_entries:
|
|
size of the database
|
|
|
|
key_size:
|
|
size of the keys of the database
|
|
|
|
value_size:
|
|
size of the values of the database
|
|
|
|
chunk_size:
|
|
chunks size of the database
|
|
"""
|
|
|
|
print("Compiling...")
|
|
cached_server = Path(
|
|
f"static_kvdb.{number_of_entries}.{key_size}.{value_size}.{chunk_size}.server.zip"
|
|
)
|
|
if cached_server.exists():
|
|
db = StaticKeyValueDatabase(
|
|
number_of_entries,
|
|
key_size,
|
|
value_size,
|
|
chunk_size,
|
|
compiled=False,
|
|
)
|
|
server = fhe.Server.load(cached_server)
|
|
client = fhe.Client(server.client_specs, keyset_cache_directory=".keys")
|
|
else:
|
|
db = StaticKeyValueDatabase(
|
|
number_of_entries,
|
|
key_size,
|
|
value_size,
|
|
chunk_size,
|
|
compiled=True,
|
|
configuration=fhe.Configuration(
|
|
enable_unsafe_features=True,
|
|
use_insecure_key_cache=True,
|
|
insecure_key_cache_location=".keys",
|
|
),
|
|
)
|
|
db.module.server.save(cached_server)
|
|
|
|
server = db.module.server
|
|
client = db.module.client
|
|
|
|
db.state = server.run(
|
|
client.encrypt(
|
|
[
|
|
np.array([1] + db.encode_key(i).tolist() + db.encode_value(i).tolist()) * (i % 2)
|
|
for i in range(db.number_of_entries)
|
|
],
|
|
function_name="reset",
|
|
),
|
|
function_name="reset",
|
|
evaluation_keys=client.evaluation_keys,
|
|
)
|
|
|
|
print("Generating keys...")
|
|
client.keygen()
|
|
|
|
if operation == "insert":
|
|
benchmark_insert(db, client, server)
|
|
elif operation == "replace":
|
|
benchmark_replace(db, client, server)
|
|
elif operation == "query":
|
|
benchmark_query(db, client, server)
|
|
else:
|
|
message = f"Invalid operation: {operation}"
|
|
raise ValueError(message)
|