Configure

Concrete can be customized using Configurations:
from concrete import fhe
import numpy as np
​
configuration = fhe.Configuration(p_error=0.01, dataflow_parallelize=True)
​
@fhe.compiler({"x": "encrypted"})
def f(x):
    return x + 42
​
inputset = range(10)
circuit = f.compile(inputset, configuration=configuration)
You can overwrite individual options as kwargs to the compile method:
from concrete import fhe
import numpy as np
​
@fhe.compiler({"x": "encrypted"})
def f(x):
    return x + 42
​
inputset = range(10)
circuit = f.compile(inputset, p_error=0.01, dataflow_parallelize=True)
Or you can combine both:
from concrete import fhe
import numpy as np
​
configuration = fhe.Configuration(p_error=0.01)
​
@fhe.compiler({"x": "encrypted"})
def f(x):
    return x + 42
​
inputset = range(10)
circuit = f.compile(inputset, configuration=configuration, loop_parallelize=True)
Additional kwarg to compile functions take higher precedence. So if you set the option in both configuration and compile methods, the value in the compile method will be used.
Options
show_graph: Optional[bool] = None
Whether to print computation graph during compilation. True means always print, False means never print, None means print depending on verbose configuration below.
show_mlir: Optional[bool] = None
Whether to print MLIR during compilation. True means always print, False means never print, None means print depending on verbose configuration below.
show_optimizer: Optional[bool] = None
Whether to print optimizer output during compilation. True means always print, False means never print, None means print depending on verbose configuration below.
verbose: bool = False
Whether to print details related to compilation.
dump_artifacts_on_unexpected_failures: bool = True
Whether to export debugging artifacts automatically on compilation failures.
auto_adjust_rounders: bool = False
Whether to adjust rounders automatically.
p_error: Optional[float] = None
Error probability for individual table lookups. If set, all table lookups will have the probability of a non-exact result smaller than the set value. See Exactness to learn more.
global_p_error: Optional[float] = None
Global error probability for the whole circuit. If set, the whole circuit will have the probability of a non-exact result smaller than the set value. See Exactness to learn more.
single_precision: bool = True
Whether to use single precision for the whole circuit.
jit: bool = False
Whether to use JIT compilation.
loop_parallelize: bool = True
Whether to enable loop parallelization in the compiler.
dataflow_parallelize: bool = False
Whether to enable dataflow parallelization in the compiler.
auto_parallelize: bool = False
Whether to enable auto parallelization in the compiler.
enable_unsafe_features: bool = False
Whether to enable unsafe features.
use_insecure_key_cache: bool = False (Unsafe)
Whether to use the insecure key cache.
insecure_key_cache_location: Optional[Union[Path, str]] = None
Location of insecure key cache.
Last modified 1mo ago