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 kwargs 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

  • 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

  • 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

  • Print optimizer output during compilation. True means always print, False means never print, None means print depending on verbose configuration below.

• show_statistics: Optional[bool] = None

  • Print circuit statistics during compilation. True means always print, False means never print, None means print depending on verbose configuration below.

• verbose: bool = False

  • Print details related to compilation.

• dump_artifacts_on_unexpected_failures: bool = True

  • Export debugging artifacts automatically on compilation failures.

• auto_adjust_rounders: bool = False

  • 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 = False

  • Use single precision for the whole circuit.

• parameter_selection_strategy: (fhe.ParameterSelectionStrategy) = fhe.ParameterSelectionStrategy.MULTI

  • Set how cryptographic parameters are selected.

• multi_parameter_strategy: fhe.MultiParameterStrategy = fhe.MultiParameterStrategy.PRECISION

  • Set the level of circuit partionning when using fhe.ParameterSelectionStrategy.MULTI.

  • PRECISION: all TLU with same input precision have their own parameters.

  • PRECISION_AND_NORM2: all TLU with same input precision and output norm2 have their own parameters.
• loop_parallelize: bool = True

  • Enable loop parallelization in the compiler.

• dataflow_parallelize: bool = False

  • Enable dataflow parallelization in the compiler.

• auto_parallelize: bool = False

  • Enable auto parallelization in the compiler.

• enable_unsafe_features: bool = False

  • Enable unsafe features.

• use_insecure_key_cache: bool = False (Unsafe)

  • Use the insecure key cache.

• insecure_key_cache_location: Optional[Union[Path, str]] = None

  • Location of insecure key cache.

• show_progress: bool = False,

  • Display a progress bar during circuit execution

• progress_title: str = "",

  • Title of the progress bar

• progress_tag: Union[bool, int] = False,

  • How many nested tag elements to display with the progress bar. True means all tag elements and False disables the display. 2 will display elmt1.elmt2

• fhe_simulation: bool = False

  • Enable FHE simulation. Can be enabled later using circuit.enable_fhe_simulation().

• fhe_execution: bool = True

  • Enable FHE execution. Can be enabled later using circuit.enable_fhe_execution().

• compiler_debug_mode: bool = False,

  • Enable/disable debug mode of the compiler. This can show a lot of information, including passes and pattern rewrites.

• compiler_verbose_mode: bool = False,

  • Enable/disable verbose mode of the compiler. This mainly shows logs from the compiler, and is less verbose than the debug mode.

• comparison_strategy_preference: Optional[Union[ComparisonStrategy, str, List[Union[ComparisonStrategy, str]]]] = None

  • Specify preference for comparison strategies, can be a single strategy or an ordered list of strategies. See Comparisons to learn more.
• bitwise_strategy_preference: Optional[Union[BitwiseStrategy, str, List[Union[BitwiseStrategy, str]]]] = None

  • Specify preference for bitwise strategies, can be a single strategy or an ordered list of strategies. See Bitwise to learn more.
• shifts_with_promotion: bool = True,

  • Enable promotions in encrypted shifts instead of casting in runtime. See Bitwise#Shifts to learn more.
• composable: bool = False,

  • Specify that the function must be composable with itself.

• relu_on_bits_threshold: int = 7,

  • Bit-width to start implementing the ReLU extension with fhe.bits.
• relu_on_bits_chunk_size: int = 3,

  • Chunk size of the ReLU extension when fhe.bits implementation is used.
• if_then_else_chunk_size: int = 3

  • Chunk size to use when converting fhe.if_then_else extension.

• rounding_exactness : Exactness = fhe.Exactness.EXACT

  • Set default exactness mode for the rounding operation:

  • EXACT: threshold for rounding up or down is exactly centered between upper and lower value,

  • APPROXIMATE: faster but threshold for rounding up or down is approximately centered with pseudo-random shift.

  • Precise and more complete behavior is described in fhe.rounding_bit_pattern.
• approximate_rounding_config : ApproximateRoundingConfig = fhe.ApproximateRoundingConfig():

  • Provide more fine control on approximate rounding:
  • to enable exact cliping,

  • or/and approximate clipping which make overflow protection faster.

• optimize_tlu_based_on_measured_bounds : bool = False

  • Enables TLU optimizations based on measured bounds.

  • Not enabled by default as it could result in unexpected overflows during runtime.

• enable_tlu_fusing : bool = True

  • Enables TLU fusing to reduce the number of table lookups.

• print_tlu_fusing : bool = False

  • Enables printing TLU fusing to see which table lookups are fused.

• compress_evaluation_keys: bool = False,

  • This specifies that serialization takes the compressed form of evaluation keys.

• compress_input_ciphertexts: bool = False,

  • This specifies that serialization takes the compressed form of input ciphertexts.