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158 lines
4.4 KiB
Markdown
158 lines
4.4 KiB
Markdown
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<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/utils.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
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# <kbd>module</kbd> `concrete.fhe.mlir.utils`
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Declaration of various functions and constants related to MLIR conversion.
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**Global Variables**
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---------------
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- **MAXIMUM_TLU_BIT_WIDTH**
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---
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<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/utils.py#L48"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
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## <kbd>function</kbd> `flood_replace_none_values`
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```python
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flood_replace_none_values(table: list)
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```
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Use flooding algorithm to replace `None` values.
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**Args:**
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table (list): the list in which there are `None` values that need to be replaced with copies of the closest non `None` data from the list
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---
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<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/utils.py#L79"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
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## <kbd>function</kbd> `construct_table_multivariate`
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```python
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construct_table_multivariate(node: Node, preds: List[Node]) → List[Any]
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```
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Construct the lookup table for a multivariate node.
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**Args:**
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node (Node): Multivariate node to construct the table for
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preds (List[Node]): ordered predecessors to `node`
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**Returns:**
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List[Any]: lookup table corresponding to `node` and its input value
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---
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<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/utils.py#L141"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
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## <kbd>function</kbd> `construct_table`
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```python
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construct_table(node: Node, preds: List[Node]) → List[Any]
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```
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Construct the lookup table for an Operation.Generic node.
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**Args:**
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node (Node): Operation.Generic to construct the table
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preds (List[Node]): ordered predecessors to `node`
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**Returns:**
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List[Any]: lookup table corresponding to `node` and its input value
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---
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<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/utils.py#L239"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
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## <kbd>function</kbd> `construct_deduplicated_tables`
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```python
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construct_deduplicated_tables(
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node: Node,
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preds: List[Node]
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) → Tuple[Tuple[ndarray, Optional[List[Tuple[int, ]]]], ]
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```
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Construct lookup tables for each cell of the input for an Operation.Generic node.
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**Args:**
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node (Node): Operation.Generic to construct the table
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preds (List[Node]): ordered predecessors to `node`
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**Returns:**
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Tuple[Tuple[numpy.ndarray, List[Tuple[int, ...]]], ...]: tuple containing tuples of 2 for
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- constructed table
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- list of indices of the input that use the constructed table
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e.g.,
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- <b>`.. code-block`</b>: : python
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( (np.array([3, 1, 2, 4]), [(1, 0), (2, 1)]), (np.array([5, 8, 6, 7]), [(0, 0), (0, 1), (1, 1), (2, 0)]), )
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means the lookup on 3x2 input will result in
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- <b>`.. code-block`</b>: : python
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[ [5, 8, 6, 7][input[0, 0]] , [5, 8, 6, 7][input[0, 1]] ] [ [3, 1, 2, 4][input[1, 0]] , [5, 8, 6, 7][input[1, 1]] ] [ [5, 8, 6, 7][input[2, 0]] , [3, 1, 2, 4][input[2, 1]] ]
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---
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<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/utils.py#L31"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
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## <kbd>class</kbd> `HashableNdarray`
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HashableNdarray class, to use numpy arrays in dictionaries.
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<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/utils.py#L38"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
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### <kbd>method</kbd> `__init__`
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```python
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__init__(array: ndarray)
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```
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---
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<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/utils.py#L333"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
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## <kbd>class</kbd> `Comparison`
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Comparison enum, to store the result comparison in 2-bits as there are three possible outcomes.
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