quark.onnx.graph_transformations.transforms_pipeline
#
Module Contents#
Classes#
- class quark.onnx.graph_transformations.transforms_pipeline.TransformsPipeline(configs: Dict[str, Any] | None = None)#
Wrapper of transforms to the model, apply in sequence. Transforms the original model to perform better during quantization.
- get_configs() Dict[str, Any] | None #
Get the configurations.
- Args:
None
- Returns:
Dict of configurations
- abstract apply(model: onnx.ModelProto, candidate_layers: Any, layer_metadata: Any) Any #
Apply list of transforms to onnx model.
- Args:
model: onnx model to be quantized.
- Returns:
New onnx model based on model which has been transformed.