Add metapruning/__init__.py
Browse files- metapruning/__init__.py +24 -0
metapruning/__init__.py
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""
|
| 2 |
+
MetaPruning: Meta Pruning via Graph Metanetworks
|
| 3 |
+
Paper: "Meta Pruning via Graph Metanetworks: A Universal Meta-Learning Framework for Network Pruning"
|
| 4 |
+
arXiv:2506.12041
|
| 5 |
+
|
| 6 |
+
Modules:
|
| 7 |
+
graph: Network <-> Graph bijection
|
| 8 |
+
gnn: PNAConv-based metanetwork
|
| 9 |
+
train_metanetwork: Meta-training loop
|
| 10 |
+
inference: Pruning inference pipeline
|
| 11 |
+
"""
|
| 12 |
+
|
| 13 |
+
from .graph import resnet_to_graph, graph_to_resnet, create_transformed_model, Graph
|
| 14 |
+
from .gnn import Metanetwork, PNAConvLayer, EdgeInvertor
|
| 15 |
+
|
| 16 |
+
__all__ = [
|
| 17 |
+
"resnet_to_graph",
|
| 18 |
+
"graph_to_resnet",
|
| 19 |
+
"create_transformed_model",
|
| 20 |
+
"Graph",
|
| 21 |
+
"Metanetwork",
|
| 22 |
+
"PNAConvLayer",
|
| 23 |
+
"EdgeInvertor",
|
| 24 |
+
]
|