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Title: Unable to run the code with error regarding 'mpiicpc' · Issue #4 · DeepGraphLearning/NBFNet · GitHub

Open Graph Title: Unable to run the code with error regarding 'mpiicpc' · Issue #4 · DeepGraphLearning/NBFNet

X Title: Unable to run the code with error regarding 'mpiicpc' · Issue #4 · DeepGraphLearning/NBFNet

Description: Hello, I followed the instruction to install the torchdrug-related packages and matching PyTorch/CUDA version. However, I got this following error when initializing the code. Any ideas to fix this? The system has intel/19.0.3.199 loaded....

Open Graph Description: Hello, I followed the instruction to install the torchdrug-related packages and matching PyTorch/CUDA version. However, I got this following error when initializing the code. Any ideas to fix this?...

X Description: Hello, I followed the instruction to install the torchdrug-related packages and matching PyTorch/CUDA version. However, I got this following error when initializing the code. Any ideas to fix this?...

Opengraph URL: https://github.com/DeepGraphLearning/NBFNet/issues/4

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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Unable to run the code with error regarding 'mpiicpc'","articleBody":"Hello,\r\n\r\nI followed the instruction to install the torchdrug-related packages  and matching PyTorch/CUDA version. However, I got this following error when initializing the code. Any ideas to fix this? The system has intel/19.0.3.199 loaded.\r\n\r\n```\r\n01:24:15   Epoch 0 begin\r\nTraceback (most recent call last):\r\n  File \"script/run.py\", line 62, in \u003cmodule\u003e\r\n    train_and_validate(cfg, solver)\r\n  File \"script/run.py\", line 27, in train_and_validate\r\n    solver.train(**kwargs)\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torchdrug/core/engine.py\", line 143, in train\r\n    loss, metric = model(batch)\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torch/nn/modules/module.py\", line 889, in _call_impl\r\n    result = self.forward(*input, **kwargs)\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torchdrug/tasks/reasoning.py\", line 85, in forward\r\n    pred = self.predict(batch, all_loss, metric)\r\n  File \"~/Workspace/Python/NBFNet/nbfnet/task.py\", line 288, in predict\r\n    pred = self.model(graph, h_index, t_index, r_index, all_loss=all_loss, metric=metric)\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torch/nn/modules/module.py\", line 889, in _call_impl\r\n    result = self.forward(*input, **kwargs)\r\n  File \"~/Workspace/Python/NBFNet/nbfnet/model.py\", line 149, in forward\r\n    output = self.bellmanford(graph, h_index[:, 0], r_index[:, 0])\r\n  File \"\u003cdecorator-gen-888\u003e\", line 2, in bellmanford\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torchdrug/utils/decorator.py\", line 56, in wrapper\r\n    return forward(self, *args, **kwargs)\r\n  File \"~/Workspace/Python/NBFNet/nbfnet/model.py\", line 115, in bellmanford\r\n    hidden = layer(step_graph, layer_input)\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torch/nn/modules/module.py\", line 889, in _call_impl\r\n    result = self.forward(*input, **kwargs)\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torchdrug/layers/conv.py\", line 91, in forward\r\n    update = self.message_and_aggregate(graph, input)\r\n  File \"~/Workspace/Python/NBFNet/nbfnet/layer.py\", line 124, in message_and_aggregate\r\n    adjacency = graph.adjacency.transpose(0, 1)\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torchdrug/utils/decorator.py\", line 21, in __get__\r\n    result = self.func(obj)\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torchdrug/data/graph.py\", line 658, in adjacency\r\n    return utils.sparse_coo_tensor(self.edge_list.t(), self.edge_weight, self.shape)\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torchdrug/utils/torch.py\", line 182, in sparse_coo_tensor\r\n    return torch_ext.sparse_coo_tensor_unsafe(indices, values, size)\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torchdrug/utils/torch.py\", line 27, in __getattr__\r\n    return getattr(self.module, key)\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torchdrug/utils/decorator.py\", line 21, in __get__\r\n    result = self.func(obj)\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torchdrug/utils/torch.py\", line 31, in module\r\n    return cpp_extension.load(self.name, self.sources, self.extra_cflags, self.extra_cuda_cflags,\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torch/utils/cpp_extension.py\", line 1079, in load\r\n    return _jit_compile(\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torch/utils/cpp_extension.py\", line 1292, in _jit_compile\r\n    _write_ninja_file_and_build_library(\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torch/utils/cpp_extension.py\", line 1378, in _write_ninja_file_and_build_library\r\n    check_compiler_abi_compatibility(compiler)\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torch/utils/cpp_extension.py\", line 282, in check_compiler_abi_compatibility\r\n    if not check_compiler_ok_for_platform(compiler):\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/site-packages/torch/utils/cpp_extension.py\", line 249, in check_compiler_ok_for_platform\r\n    version_string = subprocess.check_output([compiler, '-v'], stderr=subprocess.STDOUT).decode()\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/subprocess.py\", line 415, in check_output\r\n    return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,\r\n  File \"~/anaconda3/envs/dlg_env/lib/python3.8/subprocess.py\", line 516, in run\r\n    raise CalledProcessError(retcode, process.args,\r\nsubprocess.CalledProcessError: Command '['icpc', '-v']' returned non-zero exit status 1.\r\n```","author":{"url":"https://github.com/VeritasYin","@type":"Person","name":"VeritasYin"},"datePublished":"2022-02-12T06:26:55.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":2},"url":"https://github.com/4/NBFNet/issues/4"}

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