concrete/docs/dev/api/concrete.fhe.mlir.converter.md

module concrete.fhe.mlir.converter

Declaration of Converter class.

Global Variables

• MAXIMUM_TLU_BIT_WIDTH

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class Converter

Converter class, to convert a computation graph to MLIR.

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method add

add(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method array

array(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method assign_static

assign_static(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method bitwise_and

bitwise_and(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method bitwise_or

bitwise_or(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method bitwise_xor

bitwise_xor(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method broadcast_to

broadcast_to(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method concatenate

concatenate(ctx: Context, node: Node, preds: List[Conversion])

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method constant

constant(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method conv1d

conv1d(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method conv2d

conv2d(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method conv3d

conv3d(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method convert

convert(
    graph: Graph,
    configuration: Configuration,
    mlir_context: <locals>Context
) → Module

Convert a computation graph to MLIR.

Args: graph (Graph): graph to convert

configuration (Configuration): configuration to use

mlir_context (MlirContext): MLIR Context to use for module generation

Return: MlirModule: In-memory MLIR module corresponding to the graph

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method copy

copy(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method dot

dot(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method dynamic_tlu

dynamic_tlu(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method equal

equal(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method expand_dims

expand_dims(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method extract_bit_pattern

extract_bit_pattern(
    ctx: Context,
    node: Node,
    preds: List[Conversion]
) → Conversion

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method greater

greater(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method greater_equal

greater_equal(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method index_static

index_static(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method left_shift

left_shift(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method less

less(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method less_equal

less_equal(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method matmul

matmul(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method maximum

maximum(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method maxpool1d

maxpool1d(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method maxpool2d

maxpool2d(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method maxpool3d

maxpool3d(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method minimum

minimum(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method multiply

multiply(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method negative

negative(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method node

node(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

Convert a computation graph node into MLIR.

Args: ctx (Context): conversion context

node (Node): node to convert

preds (List[Conversion]): conversions of ordered predecessors of the node

Return: Conversion: conversion object corresponding to node

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method not_equal

not_equal(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method ones

ones(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method process

process(graph: Graph, configuration: Configuration)

Process a computation graph for MLIR conversion.

Args: graph (Graph): graph to process

configuration (Configuration): configuration to use

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method relu

relu(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method reshape

reshape(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method right_shift

right_shift(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method round_bit_pattern

round_bit_pattern(
    ctx: Context,
    node: Node,
    preds: List[Conversion]
) → Conversion

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method simplify_tag

simplify_tag(configuration: Configuration, tag: str) → str

Keep only n higher tag parts.

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method squeeze

squeeze(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method stdout_with_ansi_support

stdout_with_ansi_support() → bool

Detect if ansi characters can be used (e.g. not the case in notebooks).

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method subtract

subtract(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method sum

sum(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method tlu

tlu(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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classmethod trace_progress

trace_progress(
    configuration: Configuration,
    progress_index: int,
    nodes: List[Node]
)

Add a trace_message for progress.

Args: configuration: configuration for title, tags options

progress_index: index of the next node to process

nodes: all nodes

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method transpose

transpose(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method truncate_bit_pattern

truncate_bit_pattern(
    ctx: Context,
    node: Node,
    preds: List[Conversion]
) → Conversion

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method where

where(ctx: Context, node: Node, preds: List[Conversion]) → Conversion

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method zeros

zeros(ctx: Context, node: Node, preds: List[Conversion]) → Conversion