| project_name | group_name | hostname | status | Time | RMSE | Accuracy | error_msg |
|---|
BestOf2023-1 | profs | coktailjet | Success | 39.43 | 0.803 | 0.0 | None | psg-iasd | Master-IASD | coktailjet | Success | 211.15 | 0.848 | 0.0 | None | BestOf2023-2 | profs | coktailjet | Success | 90.67 | 0.86 | 26.08 | None | alexandre-verinotableandefficientmodel | Master-IASD | coktailjet | Success | 175.18 | 0.864 | 0.0 | None | closeai | Master-IASD | coktailjet | Success | 7.03 | 0.864 | 25.11 | None | freshtomatoes | Master-IASD | coktailjet | Success | 19.31 | 0.878 | 0.32 | None | matrixe | Master-IASD | coktailjet | Success | 168.3 | 0.891 | 0.0 | None | elon | Master-IASD | coktailjet | Success | 333.36 | 0.949 | 24.78 | None | palm | Master-IASD | coktailjet | Success | 11.9 | 0.959 | 10.42 | None | just-do-it | Master-IASD | coktailjet | Success | 256.51 | 1.026 | 13.57 | None | theshawshankredemption | Master-IASD | coktailjet | Success | 0.45 | 1.037 | 0.0 | None | average | profs | coktailjet | Success | 0.45 | 1.037 | 0.0 | None | elcoma | Master-IASD | coktailjet | Success | 96.53 | 1.193 | 3.6 | None | random | profs | coktailjet | Success | 0.43 | 1.83 | 14.0 | None | anxisa | Master-IASD | coktailjet | Error | 0 | 100 | 0 | bytes: b' File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/anxisa/generate.py", line 59\n np.save("output.npy", table) ## DO NOT CHANGE THIS LINE\nIndentationError: unexpected indent\n' | code-brain-fuel | Master-IASD | coktailjet | Error | 0 | 100 | 0 | bytes: b'Traceback (most recent call last):\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/generate.py", line 4, in \n from keras.models import Model, Sequential\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/venv/lib/python3.11/site-packages/keras/__init__.py", line 4, in \n from keras.api import DTypePolicy\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/venv/lib/python3.11/site-packages/keras/api/__init__.py", line 8, in \n from keras.api import activations\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/venv/lib/python3.11/site-packages/keras/api/activations/__init__.py", line 7, in \n from keras.src.activations import deserialize\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/venv/lib/python3.11/site-packages/keras/src/__init__.py", line 1, in \n from keras.src import activations\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/venv/lib/python3.11/site-packages/keras/src/activations/__init__.py", line 3, in \n from keras.src.activations.activations import elu\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/venv/lib/python3.11/site-packages/keras/src/activations/activations.py", line 1, in \n from keras.src import backend\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/venv/lib/python3.11/site-packages/keras/src/backend/__init__.py", line 9, in \n from keras.src.backend.common.dtypes import result_type\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/venv/lib/python3.11/site-packages/keras/src/backend/common/__init__.py", line 2, in \n from keras.src.backend.common.dtypes import result_type\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/venv/lib/python3.11/site-packages/keras/src/backend/common/dtypes.py", line 5, in \n from keras.src.backend.common.variables import standardize_dtype\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/venv/lib/python3.11/site-packages/keras/src/backend/common/variables.py", line 11, in \n from keras.src.utils.module_utils import tensorflow as tf\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/venv/lib/python3.11/site-packages/keras/src/utils/__init__.py", line 1, in \n from keras.src.utils.audio_dataset_utils import audio_dataset_from_directory\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/venv/lib/python3.11/site-packages/keras/src/utils/audio_dataset_utils.py", line 4, in \n from keras.src.utils import dataset_utils\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/venv/lib/python3.11/site-packages/keras/src/utils/dataset_utils.py", line 9, in \n from keras.src import tree\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/venv/lib/python3.11/site-packages/keras/src/tree/__init__.py", line 1, in \n from keras.src.tree.tree_api import assert_same_structure\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/venv/lib/python3.11/site-packages/keras/src/tree/tree_api.py", line 6, in \n from keras.src.tree import optree_impl as tree_impl\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/venv/lib/python3.11/site-packages/keras/src/tree/optree_impl.py", line 17, in \n from tensorflow.python.trackable.data_structures import ListWrapper\nModuleNotFoundError: No module named \'tensorflow\'\n' | esi | Master-IASD | coktailjet | Error | 0 | 100 | 0 | bytes: b'\nA module that was compiled using NumPy 1.x cannot be run in\nNumPy 2.1.1 as it may crash. To support both 1.x and 2.x\nversions of NumPy, modules must be compiled with NumPy 2.0.\nSome module may need to rebuild instead e.g. with \'pybind11>=2.12\'.\n\nIf you are a user of the module, the easiest solution will be to\ndowngrade to \'numpy<2\' or try to upgrade the affected module.\nWe expect that some modules will need time to support NumPy 2.\n\nTraceback (most recent call last): File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/esi/generate.py", line 24, in \n model = RecommenderSideInfoGAE()\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/esi/model.py", line 33, in __init__\n self.build()\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/esi/model.py", line 41, in build\n self.layers.append(OrdinalMixtureGCN(input_dim=self.input_dim,\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/esi/layers.py", line 57, in __init__\n self.weights_u = nn.ParameterList([nn.Parameter(torch.randn(input_dim, output_dim)) for _ in range(num_support)])\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/esi/layers.py", line 57, in \n self.weights_u = nn.ParameterList([nn.Parameter(torch.randn(input_dim, output_dim)) for _ in range(num_support)])\n/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/esi/layers.py:57: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:84.)\n self.weights_u = nn.ParameterList([nn.Parameter(torch.randn(input_dim, output_dim)) for _ in range(num_support)])\n/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/esi/venv/lib/python3.11/site-packages/torch/_utils.py:776: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()\n return self.fget.__get__(instance, owner)()\nTraceback (most recent call last):\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/esi/generate.py", line 26, in \n table = get_completed_matrix(model, table)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/esi/evaluate.py", line 10, in get_completed_matrix\n outputs = model(data_dict)\n ^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/esi/venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/esi/model.py", line 85, in forward\n feat_hidden = layer((u_features_side, v_features_side))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/esi/venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/esi/layers.py", line 26, in forward\n x_u = torch.from_numpy(x_u).float() # Convert to float tensor\n ^^^^^^^^^^^^^^^^^^^^^\nRuntimeError: Numpy is not available\n' | happyhippo | Master-IASD | coktailjet | Error | 0 | 100 | 0 | bytes: b'Traceback (most recent call last):\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/happyhippo/generate.py", line 4, in \n from tqdm import tqdm, trange\nModuleNotFoundError: No module named \'tqdm\'\n' | rimaya | Master-IASD | coktailjet | Error | 0 | 100 | 0 | bytes: b'2024-10-07 07:22:43.599622: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n2024-10-07 07:22:44.061784: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-10-07 07:22:44.061886: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-10-07 07:22:44.154703: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-10-07 07:22:44.325652: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-10-07 07:22:46.798332: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\nTraceback (most recent call last):\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/rimaya/generate.py", line 21, in \n data_genre = np.load("namesngenre.npy") \n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/rimaya/venv/lib/python3.11/site-packages/numpy/lib/npyio.py", line 427, in load\n fid = stack.enter_context(open(os_fspath(file), "rb"))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\nFileNotFoundError: [Errno 2] No such file or directory: \'namesngenre.npy\'\n' | tetech | Master-IASD | coktailjet | Error | 0 | 100 | 0 | bytes: b'\r 0%- - 0/12 [00:00\n completed_matrix = gd.complete(table)\n ^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/tetech/src/objective_fct.py", line 46, in complete\n self.fit(incomplete_matrix)\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/tetech/src/objective_fct.py", line 446, in fit\n test_score = np.sqrt(mean_squared_error(self.y_true[self.y_true > 0], complete_matrix[self.y_true > 0])) # test error\n ^^^^^^^^^^^^^^^\nTypeError: \'>\' not supported between instances of \'NoneType\' and \'int\'\n' |
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