Comments (3)
How did you changed the key in the dictionary?
from hw2vec.
try changing the line that says self.load_state_dict(torch.load(model_weight_path)) to self.load_state_dict(torch.load(model_weight_path, map_location=torch.device('cpu'))). Also, it is normal for the embedding values to be slightly different between runs.
from hw2vec.
How did you changed the key in the dictionary?
Add following code after line 105 of models.py
model['layers.0.graph_conv.lin.weight'] = model['layers.0.graph_conv.weight'].reshape(200, 37)
model['layers.1.graph_conv.lin.weight'] = model['layers.1.graph_conv.weight']
model['pool1.graph_pool.gnn.lin_rel.weight'] = model['pool1.graph_pool.gnn.lin_l.weight']
model['pool1.graph_pool.gnn.lin_rel.bias'] = model['pool1.graph_pool.gnn.lin_l.bias']
model['pool1.graph_pool.gnn.lin_root.weight'] = model['pool1.graph_pool.gnn.lin_r.weight']
del model['layers.0.graph_conv.weight']
del model['layers.1.graph_conv.weight']
del model['pool1.graph_pool.gnn.lin_l.weight']
del model['pool1.graph_pool.gnn.lin_l.bias']
del model['pool1.graph_pool.gnn.lin_r.weight']
from hw2vec.
Related Issues (20)
- Node-level task trainer? HOT 1
- Merge PreprocessVerilog with HW2GRAPH class HOT 1
- .yaml parameters HOT 1
- Normalization HOT 1
- Structuring the repository HOT 1
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- use_case_2 alignment.
- use-case-3 alignment
- reconstructing unit test framework
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- ERROR: Could not find a version that satisfies the requirement hw2vec-contrib-python (from versions: none) ERROR: No matching distribution found for hw2vec-contrib-python
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- Use_Case_1.py" in GPU mode HOT 2
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- Sharing the reproducible results on Mac M1 HOT 1
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from hw2vec.