qualia_codegen_core.Validator module

class qualia_codegen_core.Validator.TBaseLayerWithActivation(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, activation: 'TActivation')

Bases: TBaseLayer

activation: TActivation

class qualia_codegen_core.Validator.Validator

Bases: object

Class used to validate various parts of the model to make sure they conform to the limitation of the conversion tool.

validate_combined_activation(layer: TBaseLayer) → bool

validate_batchnorm(node: LayerNode) → bool

validate_flatten(node: LayerNode) → bool

validate_global_sum_pooling(node: LayerNode) → bool

validate_round_mode(node: LayerNode) → bool

Check if layer activation round mode is not None when number_type is int.

Parameters:

node – LayerNode to check the activation round mode of

Returns:

True if layer’s round mode is neither None nor qualia_codegen_core.graph.RoundMode.RoundMode.NONE when layer’s number_type is int, otherwise False

validate_permute(node: LayerNode) → bool

Check that the batch dimension (index 0) is not permuted with the permute operation.

Parameters:

node – LayerNode with a qualia_codegen_core.graph.layers.TPermuteLayer layer

Returns:

False if the batch dimension is permuted in a qualia_codegen_core.graph.layers.TPermuteLayer, otherwise True

validate_node(node: LayerNode) → bool