concrete/docs/howto/configure.md

Configure

The behavior of Concrete-Numpy can be customized using Configurations:

import concrete.numpy as cnp
import numpy as np

configuration = cnp.Configuration(p_error=0.01, loop_parallelize=True)

@cnp.compiler({"x": "encrypted"})
def f(x):
    return x + 42

inputset = range(10)
circuit = f.compile(inputset, configuration=configuration)

Alternatively, you can overwrite individual options as kwargs to compile method:

import concrete.numpy as cnp
import numpy as np

@cnp.compiler({"x": "encrypted"})
def f(x):
    return x + 42

inputset = range(10)
circuit = f.compile(inputset, p_error=0.01, loop_parallelize=True)

Or you can combine both:

import concrete.numpy as cnp
import numpy as np

configuration = cnp.Configuration(p_error=0.01)

@cnp.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 function have higher precedence. So if you set an option in both configuration and in 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. True means always to print, False means always to not print, None means print depending on verbose configuration below.

• show_mlir: Optional[bool] = None

  • Whether to print MLIR during compilation. True means always to print, False means always to not print, None means print depending on verbose configuration below.

• show_optimizer: Optional[bool] = None

  • Whether to print optimizer output during compilation. True means always to print, False means always to not 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 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 non-exact result smaller than the set value. See Exactness to learn more.

• 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.

• virtual: bool = False (Unsafe)

  • Whether to create a virtual circuit.

• 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.