Compilation error

dahustle: <p>Environment:<br>
Ubuntu 22.04<br>
Python 3.11.8<br>
Pytorch 2.2.1<br>
Pytorch Geometric 2.5.0</p>
<p>I am trying to compile my model but I always have errors, I tried with all modes and with dynamic=True, but it doesn’t change. These are the logs with TORCH_LOGS=“recompiles”.</p>
<p>[2024-03-06 15:35:13,994] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:281<br>
[2024-03-06 15:35:13,994] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:13,994] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[‘x’]’ size mismatch at index 0. expected 200, actual 37<br>
[2024-03-06 15:35:14,075] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function forward in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:95<br>
[2024-03-06 15:35:14,075] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:14,075] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[‘x’]’ size mismatch at index 0. expected 200, actual 37<br>
[2024-03-06 15:35:14,409] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function add_self_loops in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/utils/loop.py:382<br>
[2024-03-06 15:35:14,409] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:14,409] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘num_nodes’] == 200                                         # elif isinstance(num_nodes, (tuple, list)):  # torch_geometric/utils/loop.py:455 in add_self_loops<br>
[2024-03-06 15:35:14,525] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function <strong>new</strong> in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/edge_index.py:260<br>
[2024-03-06 15:35:14,525] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:14,525] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘sparse_size’][0] == 200                                    # if sparse_size is None:  # torch_geometric/edge_index.py:326 in <strong>new</strong><br>
[2024-03-06 15:35:14,579] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_add_self_loops in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/utils/loop.py:466<br>
[2024-03-06 15:35:14,579] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:14,579] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[‘edge_index’]’ stride mismatch at index 0. expected 174, actual 36<br>
[2024-03-06 15:35:14,595] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function cat in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/edge_index.py:1193<br>
[2024-03-06 15:35:14,595] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:14,595] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[‘tensors’][0]’ stride mismatch at index 0. expected 174, actual 36<br>
[2024-03-06 15:35:14,611] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_add_self_loops in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/utils/loop.py:471<br>
[2024-03-06 15:35:14,611] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:14,611] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘N’] == 200                                                 # size = (num_nodes, ) + edge_attr.size()[1:]  # torch_geometric/utils/loop.py:750 in compute_loop_attr<br>
[2024-03-06 15:35:14,735] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_forward in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:102<br>
[2024-03-06 15:35:14,735] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:14,735] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[‘x’]’ size mismatch at index 0. expected 200, actual 37<br>
[2024-03-06 15:35:14,859] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function propagate in /home/eborzone/.cache/pyg/message_passing/model_EdgeConv_propagate.py:135<br>
[2024-03-06 15:35:14,859] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:14,859] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[‘x’]’ size mismatch at index 0. expected 200, actual 37<br>
[2024-03-06 15:35:15,234] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:112<br>
[2024-03-06 15:35:15,234] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:15,234] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[‘x_i’]’ size mismatch at index 0. expected 374, actual 73<br>
[2024-03-06 15:35:16,080] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:142<br>
[2024-03-06 15:35:16,080] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:16,080] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[‘i’]’ size mismatch at index 0. expected 374, actual 73<br>
[2024-03-06 15:35:16,270] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:143<br>
[2024-03-06 15:35:16,270] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:16,270] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[‘i’]’ size mismatch at index 0. expected 374, actual 73<br>
[2024-03-06 15:35:16,410] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:143<br>
[2024-03-06 15:35:16,410] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:16,410] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[‘weight’]’ size mismatch at index 0. expected 374, actual 73<br>
[2024-03-06 15:35:16,489] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:150<br>
[2024-03-06 15:35:16,489] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:16,489] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[‘i’]’ size mismatch at index 0. expected 374, actual 73<br>
[2024-03-06 15:35:16,701] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:151<br>
[2024-03-06 15:35:16,701] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:16,701] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[‘i’]’ size mismatch at index 0. expected 374, actual 73<br>
[2024-03-06 15:35:16,853] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_propagate in /home/eborzone/.cache/pyg/message_passing/model_EdgeConv_propagate.py:196<br>
[2024-03-06 15:35:16,853] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:16,853] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘kwargs’][6] == 200                                         # index=kwargs.index,  # .cache/pyg/message_passing/model_EdgeConv_propagate.py:241 in resume_in_propagate<br>
[2024-03-06 15:35:17,173] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:290<br>
[2024-03-06 15:35:17,173] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:17,173] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[‘masks’]’ size mismatch at index 0. expected 200, actual 37<br>
[2024-03-06 15:35:17,328] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:296<br>
[2024-03-06 15:35:17,328] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:17,328] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘batch_size’] == 13                                         # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1])  # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict<br>
[2024-03-06 15:35:20,347] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function propagate in /home/eborzone/.cache/pyg/message_passing/model_EdgeConv_propagate.py:135<br>
[2024-03-06 15:35:20,347] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:20,347] torch._dynamo.guards.__recompiles: [DEBUG]     - Ne(Mod(8<em>L[‘edge_index’].size()[1], 16), 0)                   # _dynamo/output_graph.py:371 in init_ambient_guards<br>
[2024-03-06 15:35:20,347] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[‘x’]’ size mismatch at index 0. expected 200, actual 224<br>
[2024-03-06 15:35:20,768] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_propagate in /home/eborzone/.cache/pyg/message_passing/model_EdgeConv_propagate.py:196<br>
[2024-03-06 15:35:20,768] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:20,768] torch._dynamo.guards.__recompiles: [DEBUG]     - Ne(Mod(8</em>L[‘kwargs’][4].storage_offset(), 16), 0)             # _dynamo/output_graph.py:371 in init_ambient_guards<br>
[2024-03-06 15:35:20,768] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘kwargs’][6] == 200                                         # index=kwargs.index,  # .cache/pyg/message_passing/model_EdgeConv_propagate.py:241 in resume_in_propagate<br>
[2024-03-06 15:35:21,040] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:296<br>
[2024-03-06 15:35:21,040] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:21,040] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 6, actual 30<br>
[2024-03-06 15:35:21,040] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘batch_size’] == 13                                         # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1])  # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict<br>
[2024-03-06 15:35:22,466] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:296<br>
[2024-03-06 15:35:22,466] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:22,466] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 30, actual 2<br>
[2024-03-06 15:35:22,466] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 6, actual 2<br>
[2024-03-06 15:35:22,466] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘batch_size’] == 13                                         # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1])  # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict<br>
[2024-03-06 15:35:24,612] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:296<br>
[2024-03-06 15:35:24,612] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:24,612] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘batch_size’] == 1                                          # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1])  # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict<br>
[2024-03-06 15:35:24,612] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 30, actual 32<br>
[2024-03-06 15:35:24,612] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 6, actual 32<br>
[2024-03-06 15:35:24,612] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘batch_size’] == 13                                         # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1])  # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict<br>
[2024-03-06 15:35:26,731] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:296<br>
[2024-03-06 15:35:26,731] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:26,731] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 32, actual 26<br>
[2024-03-06 15:35:26,731] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘batch_size’] == 1                                          # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1])  # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict<br>
[2024-03-06 15:35:26,731] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 30, actual 26<br>
[2024-03-06 15:35:26,731] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 6, actual 26<br>
[2024-03-06 15:35:26,731] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[‘X’]’ size mismatch at index 0. expected 200, actual 205<br>
[2024-03-06 15:35:28,557] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:296<br>
[2024-03-06 15:35:28,557] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:28,557] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 6, actual 28<br>
[2024-03-06 15:35:28,557] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 26, actual 28<br>
[2024-03-06 15:35:28,557] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 32, actual 28<br>
[2024-03-06 15:35:28,557] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘batch_size’] == 1                                          # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1])  # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict<br>
[2024-03-06 15:35:28,557] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 30, actual 28<br>
[2024-03-06 15:35:28,557] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘batch_size’] == 13                                         # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1])  # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict<br>
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:296<br>
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 28, actual 4<br>
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 6, actual 4<br>
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 26, actual 4<br>
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 32, actual 4<br>
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘batch_size’] == 1                                          # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1])  # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict<br>
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 30, actual 4<br>
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘batch_size’] == 13                                         # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1])  # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict<br>
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:296<br>
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘batch_size’] == 1                                          # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1])  # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict<br>
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 30, actual 20<br>
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 6, actual 20<br>
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 26, actual 20<br>
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 4, actual 20<br>
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 28, actual 20<br>
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG]     - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 32, actual 20<br>
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG]     - L[‘batch_size’] == 13                                         # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1])  # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict<br>
[2024-03-06 15:35:32,202] torch._dynamo.convert_frame: [WARNING] torch._dynamo hit config.cache_size_limit (8)<br>
[2024-03-06 15:35:32,202] torch._dynamo.convert_frame: [WARNING]    function: ‘resume_in_predict’ (/home/eborzone/Documentos/GraphEmbedderBoost/model.py:296)<br>
[2024-03-06 15:35:32,202] torch._dynamo.convert_frame: [WARNING]    last reason: L[‘batch_size’] == 13                                         # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1])  # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict<br>
[2024-03-06 15:35:32,202] torch._dynamo.convert_frame: [WARNING] To log all recompilation reasons, use TORCH_LOGS=“recompiles”.<br>
[2024-03-06 15:35:32,202] torch._dynamo.convert_frame: [WARNING] To diagnose recompilation issues, see <a href="https://pytorch.org/docs/master/compile/troubleshooting.html" class="inline-onebox" rel="noopener nofollow ugc">PyTorch 2.0 Troubleshooting — PyTorch master documentation</a>.<br>
[2024-03-06 15:37:41,921] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:281<br>
[2024-03-06 15:37:41,921] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:37:41,921] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:41,921] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:41,998] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function forward in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:95<br>
[2024-03-06 15:37:41,998] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:37:41,998] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:41,998] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,131] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function add_self_loops in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/utils/loop.py:382<br>
[2024-03-06 15:37:42,131] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:37:42,131] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,131] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,224] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function <strong>new</strong> in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/edge_index.py:260<br>
[2024-03-06 15:37:42,224] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:37:42,224] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,224] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,281] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_add_self_loops in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/utils/loop.py:466<br>
[2024-03-06 15:37:42,281] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:37:42,281] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,281] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,296] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function cat in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/edge_index.py:1193<br>
[2024-03-06 15:37:42,296] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:37:42,296] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,296] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,313] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_add_self_loops in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/utils/loop.py:471<br>
[2024-03-06 15:37:42,313] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:37:42,313] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,313] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,430] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_forward in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:102<br>
[2024-03-06 15:37:42,430] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:37:42,430] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,430] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,551] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function propagate in /home/eborzone/.cache/pyg/message_passing/model_EdgeConv_propagate.py:135<br>
[2024-03-06 15:37:42,551] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:37:42,551] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,551] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,551] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,806] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:112<br>
[2024-03-06 15:37:42,806] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:37:42,806] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:42,806] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:43,265] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:142<br>
[2024-03-06 15:37:43,265] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:37:43,265] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:43,265] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:43,391] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:143<br>
[2024-03-06 15:37:43,391] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:37:43,391] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:43,391] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:43,557] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:150<br>
[2024-03-06 15:37:43,557] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:37:43,557] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:43,557] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:43,672] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:151<br>
[2024-03-06 15:37:43,672] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:37:43,672] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:43,672] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:43,761] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_propagate in /home/eborzone/.cache/pyg/message_passing/model_EdgeConv_propagate.py:196<br>
[2024-03-06 15:37:43,761] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:37:43,761] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:43,761] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:43,761] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:43,938] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:290<br>
[2024-03-06 15:37:43,938] torch._dynamo.guards.__recompiles: [DEBUG]     triggered by the following guard failure(s):<br>
[2024-03-06 15:37:43,938] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()<br>
[2024-03-06 15:37:43,938] torch._dynamo.guards.__recompiles: [DEBUG]     - ___check_global_state()</p>