Name	Size	Mode	Actions
backend_config_dict/	-	0755	rm
__pycache__/	-	0755	rm
convert.py	24481	0644	editdlrm
fuse.py	2998	0644	editdlrm
fusion_patterns.py	6862	0644	editdlrm
graph_module.py	5117	0644	editdlrm
lower_to_fbgemm.py	337	0644	editdlrm
lower_to_qnnpack.py	339	0644	editdlrm
match_utils.py	6278	0644	editdlrm
pattern_utils.py	2171	0644	editdlrm
prepare.py	48970	0644	editdlrm
qconfig_utils.py	11818	0644	editdlrm
quantization_patterns.py	97807	0644	editdlrm
quantization_types.py	319	0644	editdlrm
quantized_fusion_patterns_and_replacements.py	876	0644	editdlrm
utils.py	20698	0644	editdlrm
_equalize.py	36240	0644	editdlrm
_lower_to_native_backend.py	741	0644	editdlrm
__init__.py	212	0644	editdlrm

from torch.fx import subgraph_rewriter from .graph_module import QuantizedGraphModule from .quantized_fusion_patterns_and_replacements import get_fbgemm_patterns_and_replacements def _lower_to_native_backend(model: QuantizedGraphModule) -> QuantizedGraphModule: """ Lower a quantized reference model (with reference quantized operator patterns) to the native backend in PyTorch (fbgemm/qnnpack), both backends shares the same operator signature so they can be lowered with the same function """ module_dict = dict(model.named_modules()) for pattern, replacement in get_fbgemm_patterns_and_replacements(): subgraph_rewriter.replace_pattern(model, pattern, replacement) model.graph.lint() return model