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Merge pull request #146 from linok-bc/master
Add mitoEM benchmark notebook
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.gitignore

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tmpwdir/
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*.iml
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.idea/
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docs/pytorch_sphinx_theme

configs/Lucchi-Mitochondria_multiGPU.yaml

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docs/source/notes/installation.rst

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Linux Installation
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---------------------
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The code is developed and tested on a machine with 8 NVIDIA GPUs with the CentOS Linux 7.4 (Core) operation system.
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.. tip::
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We do not recommend installation as root user on your system python.
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Please setup an `Anaconda/Miniconda <https://conda.io/docs/user-guide/install/index.html/>`_ environment and add the required packages to the environment.
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.. tip:: We do not recommend installation as root user on your system python. Please setup an `Anaconda/Miniconda <https://conda.io/docs/user-guide/install/index.html/>`_ environment and add the required packages to the environment.
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Please follow the steps below for a successful installation:
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1 - Install PyTorch in a virtual environment
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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.. code-block:: none
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.. code-block:: bash
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conda create -n py3_torch python=3.8
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conda activate py3_torch
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conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch
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conda create -n pytc python=3.9
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conda activate pytc
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conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 mkl=2024.0.0 -c pytorch
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More options to install PyTorch can be found `here <https://pytorch.org/get-started/locally/>`_. Our package has been tested with
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CUDA 10.2 and 11.4. Then please ensure that at least PyTorch **1.10.0** is installed:
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More options to install PyTorch can be found `here <https://pytorch.org/get-started/locally/>`_. Our package has been tested with CUDA 10.2 and 11.4. Then please ensure that at least PyTorch **1.10.0** is installed:
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.. code-block:: none
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.. code-block:: python
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python -c 'import torch; print(torch.__version__)'
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>>> 1.10.0
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>>> 1.10.0 # or greater
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2 - Install PyTorch Connectomics
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

docs/source/tutorials/+

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