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pin pytorch-cuda to 11.8
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Ensure we're installing the cuda-11.8 variant of dgl
Update from pip style version spec to conda
pytorch already in primary dev.yml
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dagardner-nv committed Aug 4, 2023
1 parent 6bb671a commit 224d5d5
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Showing 3 changed files with 7 additions and 9 deletions.
2 changes: 1 addition & 1 deletion docker/conda/environments/cuda11.8_dev.yml
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Expand Up @@ -83,7 +83,7 @@ dependencies:
- python-graphviz
- python=3.10
- pytorch=2.0.1
- pytorch-cuda
- pytorch-cuda=11.8
- rapidjson=1.1.0
- scikit-build=0.17.1
- scikit-learn=1.2.2
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7 changes: 3 additions & 4 deletions docker/conda/environments/cuda11.8_examples.yml
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Expand Up @@ -23,22 +23,21 @@ channels:
- rapidsai
- nvidia
- conda-forge
- dglteam/label/cu118
dependencies:
- boto3
- chardet=5.0.0
- cuml=23.06
- dask>=2023.1.1
- dgl=1.0.2
- dill=0.3.6
- distributed>=2023.1.1
- mlflow>=2.2.1,<3
- papermill=2.3.4
- s3fs>=2023.6
- pip
- wrapt=1.14.1 # ver 1.15 breaks the keras model used by the gnn_fraud_detection_pipeline
- dgl==1.0.2+cu118
- torchmetrics==0.11.4
- tqdm==4.65.0
- torch==2.0.0+cu118
- torchmetrics=0.11.4
- pip:
# tensorflow exists in conda-forge but is tied to CUDA-11.3
- tensorflow==2.12.0
7 changes: 3 additions & 4 deletions examples/gnn_fraud_detection_pipeline/requirements.yml
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Expand Up @@ -17,11 +17,10 @@ channels:
- rapidsai
- nvidia
- conda-forge
- dglteam/label/cu118
dependencies:
- cuml=23.06
- dask>=2023.1.1
- dgl=1.0.2
- distributed>=2023.1.1
- dgl==1.0.2+cu118
- torchmetrics==0.11.4
- tqdm==4.65.0
- torch==2.0.0+cu118
- torchmetrics=0.11.4

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