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changed tensorflow pinned version #387

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Jun 30, 2020
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changed tensorflow pinned version #387

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7fc0e7e
changed tensorflow pinned version
fazamani Jun 29, 2020
a89a6ab
trigger build
fazamani Jun 30, 2020
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2 changes: 1 addition & 1 deletion docker/README.md
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Expand Up @@ -2,7 +2,7 @@ This Docker image allows the user to run the notebooks in this repository on any

# Download the HRNet model:

To run the [`Dutch_F3_patch_model_training_and_evaluation.ipynb`](https://github.com/microsoft/seismic-deeplearning/blob/master/examples/interpretation/notebooks/Dutch_F3_patch_model_training_and_evaluation.ipynb), you will need to manually download the [HRNet-W48-C](https://1drv.ms/u/s!Aus8VCZ_C_33dKvqI6pBZlifgJk) pretrained model. You can follow the instructions [here.](../README.md#pretrained-models).
To run the [`Dutch_F3_patch_model_training_and_evaluation.ipynb`](https://github.com/microsoft/seismic-deeplearning/blob/master/examples/interpretation/notebooks/Dutch_F3_patch_model_training_and_evaluation.ipynb), you will need to manually download the [HRNet-W48-C](https://1drv.ms/u/s!Aus8VCZ_C_33dKvqI6pBZlifgJk) pretrained model. You can follow the instructions [here](../README.md#pretrained-models).

If you are using an Azure Virtual Machine to run this code, you can download the model to your local machine, and then copy it to your Azure VM through the command below. Please make sure you update the `<azureuser>` and `<azurehost>` feilds.
```bash
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2 changes: 1 addition & 1 deletion environment/anaconda/local/environment.yml
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Expand Up @@ -12,7 +12,7 @@ dependencies:
- torchvision>=0.5.0
- pandas==0.25.3
- scikit-learn==0.21.3
- tensorflow==2.0
- tensorflow==2.1.0
- opt-einsum>=2.3.2
- tqdm==4.39.0
- itkwidgets==0.23.1
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1 change: 0 additions & 1 deletion tests/cicd/main_build.yml
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Expand Up @@ -55,7 +55,6 @@ jobs:
# copy your model files like so - using dummy file to illustrate
azcopy --quiet --source:https://$(storagename).blob.core.windows.net/models/model --source-key $(storagekey) --destination /home/alfred/models/your_model_name


###################################################################################################
# Stage 2: fast unit tests
###################################################################################################
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