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Use_Case_1.py" in GPU mode  #20

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@rahvis

Use_Case_1.py" in GPU mode throws the same error as when ran with only CPU.

!python use_case_1.py

Traceback (most recent call last):
  File "/content/hw2vec/examples/use_case_1.py", line 33, in <module>
    graph_emb = use_case_1(cfg, hw_design_dir_path,\
  File "/content/hw2vec/examples/use_case_1.py", line 18, in use_case_1
    model.load_model(pretrained_model_cfg_path, pretrained_model_weight_path)
  File "/content/hw2vec/hw2vec/graph2vec/models.py", line 105, in load_model
    self.load_state_dict(torch.load(model_weight_path, map_location=torch.device('cpu')))
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 2041, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for GRAPH2VEC:
	Missing key(s) in state_dict: "layers.0.graph_conv.lin.weight", "layers.1.graph_conv.lin.weight", "pool1.graph_pool.gnn.lin_rel.weight", "pool1.graph_pool.gnn.lin_rel.bias", "pool1.graph_pool.gnn.lin_root.weight". 
	Unexpected key(s) in state_dict: "layers.0.graph_conv.weight", "layers.1.graph_conv.weight", "pool1.graph_pool.gnn.lin_l.weight", "pool1.graph_pool.gnn.lin_l.bias", "pool1.graph_pool.gnn.lin_r.weight". 

Can you please help with this issue?

use_case_2.py and use_case_3.py works fine as documented on the GitHub page.

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