Files
zeekay b832ba2c39 Initial Torus commit
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.
2026-05-29 14:16:47 -07:00

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)