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Updated setup.py to add and link cuda libraries (#29)
* Updated setup.py to add and link cuda libraries
* Update build scripts
* Add error handling if CUDA libs are not installed
* Use build patchelf binary instead of global binary
* Ignore build output
* Fix script bugs
* Only package with cuda11.7
* Updated metadata and readme
Copy file name to clipboardExpand all lines: README.md
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@@ -45,7 +45,17 @@ Currently, we have predictors for the following Nvidia GPUs:
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<h2id="building-locally">Building locally</h2>
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### 1. Install CUPTI
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### Installing from pip
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Install via pip with the following command
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```bash
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pip install deepview-predict
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```
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### Installing from source
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1. Install CUPTI
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CUPTI is a profiling interface required by DeepView.Predict. Select your version of CUDA [here](https://developer.nvidia.com/cuda-toolkit-archive) and follow the instructions to add NVIDIA's repository. Then, install CUPTI with:
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```bash
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```
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After installing CUPTI, add `$CONDA_HOME/extras/CUPTI/lib64/` to `LD_LIBRARY_PATH` to ensure the library is linked.
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### 2. Install DeepView.Predict
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You can install via pip if you have the following versions of CUDA and Python
If you do not find matching version of CUDA and Python above, you need to build DeepView.Predict from source with the following instructions
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### Installing from source
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1. Install CMake 3.17+.
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2. Install CMake 3.17+.
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- Note that CMake 3.24.0 and 3.24.1 has a bug that breaks DeepView.Predict as it is not able to find the CUPTI directory and you should not use those versions
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