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3.3 KiB
3.3 KiB
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)
{% hint style="info" %}
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.
{% endhint %}
Options
- show_graph: Optional[bool] = None
- Whether to print computation graph during compilation.
Truemeans always print,Falsemeans never print,Nonemeans print depending on verbose configuration below.
- Whether to print computation graph during compilation.
- show_mlir: Optional[bool] = None
- Whether to print MLIR during compilation.
Truemeans always print,Falsemeans never print,Nonemeans print depending on verbose configuration below.
- Whether to print MLIR during compilation.
- show_optimizer: Optional[bool] = None
- Whether to print optimizer output during compilation.
Truemeans always print,Falsemeans never print,Nonemeans print depending on verbose configuration below.
- Whether to print optimizer output during compilation.
- 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.