PyKeOps: Difference between revisions

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The [https://www.kernel-operations.io/keops/index.html KeOps] library lets you compute reductions of large arrays whose entries are given by a mathematical formula or a neural network. It combines efficient C++ routines with an automatic differentiation engine and can be used with Python (NumPy, PyTorch), Matlab and R..
The [https://www.kernel-operations.io/keops/index.html KeOps] library lets you compute reductions of large arrays whose entries are given by a mathematical formula or a neural network. It combines efficient C++ routines with an automatic differentiation engine and can be used with Python (NumPy, PyTorch), Matlab and R..


= Available versions =  
= Available versions = <!--T:2-->
PyKeOps is available on our clusters as prebuilt Python packages (wheels). You can list available versions with <code>avail_wheels</code>.
PyKeOps is available on our clusters as prebuilt Python packages (wheels). You can list available versions with <code>avail_wheels</code>.
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= Installing PyKeOps in a Python virtual environment =  
= Installing PyKeOps in a Python virtual environment = <!--T:3-->
1. Load runtime dependencies.
1. Load runtime dependencies.
{{Command|module load StdEnv/2023 python/3.11}}
{{Command|module load StdEnv/2023 python/3.11}}




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2. Create and activate a Python virtual environment.
2. Create and activate a Python virtual environment.
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3. Install a specific version of PyKeOps and its Python dependencies.
3. Install a specific version of PyKeOps and its Python dependencies.
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4. Validate it.
4. Validate it.
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5. Freeze the environment and requirements set.
5. Freeze the environment and requirements set.
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6. Remove the local virtual environment.
6. Remove the local virtual environment.
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= Running KeOps =  
= Running KeOps = <!--T:9-->
You can run PyKeOps on CPU or GPU.  
You can run PyKeOps on CPU or GPU.  


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1. Write your job submission script.
1. Write your job submission script.
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#!/bin/bash
#!/bin/bash


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#SBATCH --account=def-someprof    # adjust this to match the accounting group you are using to submit jobs
#SBATCH --account=def-someprof    # adjust this to match the accounting group you are using to submit jobs
#SBATCH --time=08:00:00          # adjust this to match the walltime of your job
#SBATCH --time=08:00:00          # adjust this to match the walltime of your job
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#SBATCH --mem-per-cpu=4G          # adjust this according to the memory you need per cpu
#SBATCH --mem-per-cpu=4G          # adjust this according to the memory you need per cpu


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# Load modules dependencies.
# Load modules dependencies.
module load StdEnv/2023 python/3.11
module load StdEnv/2023 python/3.11


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# create the virtual environment on the compute node:  
# create the virtual environment on the compute node:  
virtualenv --no-download $SLURM_TMPDIR/env
virtualenv --no-download $SLURM_TMPDIR/env
source $SLURM_TMPDIR/env/bin/activate
source $SLURM_TMPDIR/env/bin/activate


<!--T:14-->
pip install --no-index --upgrade pip
pip install --no-index --upgrade pip
pip install --no-index -r pykeops-2.2.3-requirements.txt
pip install --no-index -r pykeops-2.2.3-requirements.txt


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# test that everything is OK
# test that everything is OK
python -c 'import pykeops; pykeops.test_numpy_bindings()'
python -c 'import pykeops; pykeops.test_numpy_bindings()'
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#!/bin/bash
#!/bin/bash


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#SBATCH --account=def-someprof    # adjust this to match the accounting group you are using to submit jobs
#SBATCH --account=def-someprof    # adjust this to match the accounting group you are using to submit jobs
#SBATCH --time=08:00:00          # adjust this to match the walltime of your job
#SBATCH --time=08:00:00          # adjust this to match the walltime of your job
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#SBATCH --gpus=1
#SBATCH --gpus=1


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# Load modules dependencies. The custom-ctypes is critical here.
# Load modules dependencies. The custom-ctypes is critical here.
module load StdEnv/2023 python/3.11 cuda/12 custom-ctypes
module load StdEnv/2023 python/3.11 cuda/12 custom-ctypes


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# create the virtual environment on the compute node:  
# create the virtual environment on the compute node:  
virtualenv --no-download $SLURM_TMPDIR/env
virtualenv --no-download $SLURM_TMPDIR/env
source $SLURM_TMPDIR/env/bin/activate
source $SLURM_TMPDIR/env/bin/activate


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pip install --no-index --upgrade pip
pip install --no-index --upgrade pip
pip install --no-index -r pykeops-2.2.3-requirements.txt
pip install --no-index -r pykeops-2.2.3-requirements.txt


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# test that nvrtc binding are also found
# test that nvrtc binding are also found
python -c 'import pykeops; pykeops.test_numpy_bindings()'
python -c 'import pykeops; pykeops.test_numpy_bindings()'
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2. Submit your job to the scheduler.
2. Submit your job to the scheduler.
Before submitting your job, it is important to test that your submission script will start without errors.
Before submitting your job, it is important to test that your submission script will start without errors.
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