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Add file triggers for all tests (#56)
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.gradient/notebook-tests.yaml

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@@ -7,41 +7,53 @@ Graphcore-Pytorch-Geometric-README_first:
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pyg-cluster-GCN:
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location: ../node-prediction
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paperspace-automation-ext:
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watch-files: [requirements.txt]
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generated: true
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notebook:
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file: cluster_gcn_training.ipynb
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timeout: 1200
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pyg-message-passing:
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location: ../graph-prediction/gin-molecular-prediction
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paperspace-automation-ext:
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watch-files: [requirements.txt, model.py]
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generated: true
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notebook:
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file: gin_training.ipynb
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timeout: 1200
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pyg-schnet:
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location: ../graph-prediction/schnet-molecular-prediction
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paperspace-automation-ext:
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watch-files: [requirements.txt, utils.py]
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generated: true
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notebook:
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file: schnet_training.ipynb
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timeout: 1200
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pyg-tgn:
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location: ../link-prediction/temporal-graph-networks
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paperspace-automation-ext:
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watch-files: [requirements.txt, "*.py", "*.yml"]
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generated: true
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notebook:
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file: Train_TGN.ipynb
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timeout: 1200
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pyg-nbfnet:
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location: ../link-prediction/NBFNet-for-knowledge-graphs
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paperspace-automation-ext:
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watch-files: [requirements.txt, "**/*.py", "*.yaml"]
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generated: true
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notebook:
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file: NBFNet_training.ipynb
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timeout: 2400
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pyg-ipu-speed-advantage:
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location: ../ipu-speed-advantage
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paperspace-automation-ext:
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watch-files: [requirements.txt, "*.py", "*.csv"]
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generated: true
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notebook:
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file: benchmarking_gnn_on_ipus.ipynb
@@ -51,41 +63,53 @@ pyg-ipu-speed-advantage:
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pyg-tut1:
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location: ../learning-pytorch-geometric-on-ipus
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paperspace-automation-ext:
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watch-files: [requirements.txt]
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generated: true
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notebook:
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file: 1_at_a_glance.ipynb
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timeout: 1200
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pyg-tut2:
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location: ../learning-pytorch-geometric-on-ipus
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paperspace-automation-ext:
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watch-files: [requirements.txt]
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generated: true
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notebook:
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file: 2_a_worked_example.ipynb
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timeout: 1200
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pyg-tut3:
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location: ../learning-pytorch-geometric-on-ipus
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paperspace-automation-ext:
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watch-files: [requirements.txt]
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generated: true
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notebook:
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file: 3_small_graph_batching_with_padding.ipynb
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timeout: 1200
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pyg-tut4:
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location: ../learning-pytorch-geometric-on-ipus
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paperspace-automation-ext:
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watch-files: [requirements.txt]
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generated: true
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notebook:
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file: 4_small_graph_batching_with_packing.ipynb
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timeout: 1200
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pyg-tut5:
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location: ../learning-pytorch-geometric-on-ipus
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paperspace-automation-ext:
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watch-files: [requirements.txt]
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generated: true
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notebook:
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file: 5_large_graph_sampling.ipynb
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timeout: 1200
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pyg-tut6:
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location: ../learning-pytorch-geometric-on-ipus
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paperspace-automation-ext:
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watch-files: [requirements.txt]
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generated: true
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notebook:
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file: 6_heterogeneous_graphs.ipynb
@@ -95,6 +119,8 @@ pyg-tut6:
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# MolFeat
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molfeat:
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location: ../experimental/molfeat
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paperspace-automation-ext:
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watch-files: [requirements.txt, utils.py]
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generated: true
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notebook:
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file: pytorch_geometric_molfeat.ipynb
@@ -103,6 +129,8 @@ molfeat:
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# Graphium
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graphium:
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location: ../experimental/graphium
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paperspace-automation-ext:
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watch-files: [requirements.txt, "*.yaml"]
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generated: true
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notebook:
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file: running-multitask-ipu.ipynb
@@ -117,13 +145,17 @@ useful-managing-ipu-resources:
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fraud-detection-1:
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location: ../fraud-detection
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paperspace-automation-ext:
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watch-files: [requirements.txt, "*.py"]
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generated: true
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notebook:
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file: 1_dataset_preprocessing.ipynb
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timeout: 1800
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fraud-detection-2:
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location: ../fraud-detection
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paperspace-automation-ext:
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watch-files: [requirements.txt, "*.py"]
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generated: true
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notebook:
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file: 2_training.ipynb

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