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# Conflicts: # torchrl/data/replay_buffers/replay_buffers.py # torchrl/envs/transforms/transforms.py
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#!/bin/bash | ||
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export BUILD_VERSION=0.2.1 | ||
export BUILD_VERSION=0.4.0 | ||
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${CONDA_RUN} pip install git+https://github.com/pytorch/tensordict.git -U |
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25 changes: 25 additions & 0 deletions
25
.github/unittest/linux_libs/scripts_ataridqn/environment.yml
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channels: | ||
- pytorch | ||
- defaults | ||
- conda-forge | ||
dependencies: | ||
- pip | ||
- gsutil | ||
- pip: | ||
- hypothesis | ||
- future | ||
- cloudpickle | ||
- pytest | ||
- pytest-cov | ||
- pytest-mock | ||
- pytest-instafail | ||
- pytest-rerunfailures | ||
- pytest-error-for-skips | ||
- expecttest | ||
- pyyaml | ||
- scipy | ||
- hydra-core | ||
- tqdm | ||
- h5py | ||
- datasets | ||
- pillow |
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#!/usr/bin/env bash | ||
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unset PYTORCH_VERSION | ||
# For unittest, nightly PyTorch is used as the following section, | ||
# so no need to set PYTORCH_VERSION. | ||
# In fact, keeping PYTORCH_VERSION forces us to hardcode PyTorch version in config. | ||
apt-get update && apt-get install -y git wget gcc g++ | ||
#apt-get update && apt-get install -y git wget freeglut3 freeglut3-dev | ||
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set -e | ||
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eval "$(./conda/bin/conda shell.bash hook)" | ||
conda activate ./env | ||
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if [ "${CU_VERSION:-}" == cpu ] ; then | ||
version="cpu" | ||
else | ||
if [[ ${#CU_VERSION} -eq 4 ]]; then | ||
CUDA_VERSION="${CU_VERSION:2:1}.${CU_VERSION:3:1}" | ||
elif [[ ${#CU_VERSION} -eq 5 ]]; then | ||
CUDA_VERSION="${CU_VERSION:2:2}.${CU_VERSION:4:1}" | ||
fi | ||
echo "Using CUDA $CUDA_VERSION as determined by CU_VERSION ($CU_VERSION)" | ||
version="$(python -c "print('.'.join(\"${CUDA_VERSION}\".split('.')[:2]))")" | ||
fi | ||
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# submodules | ||
git submodule sync && git submodule update --init --recursive | ||
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printf "Installing PyTorch with %s\n" "${CU_VERSION}" | ||
if [ "${CU_VERSION:-}" == cpu ] ; then | ||
# conda install -y pytorch torchvision cpuonly -c pytorch-nightly | ||
# use pip to install pytorch as conda can frequently pick older release | ||
# conda install -y pytorch cpuonly -c pytorch-nightly | ||
pip3 install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu | ||
else | ||
pip3 install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu121 | ||
fi | ||
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# install tensordict | ||
pip install git+https://github.com/pytorch/tensordict.git | ||
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# smoke test | ||
python -c "import functorch;import tensordict" | ||
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printf "* Installing torchrl\n" | ||
python setup.py develop | ||
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# smoke test | ||
python -c "import torchrl" |
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#!/usr/bin/env bash | ||
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set -e | ||
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eval "$(./conda/bin/conda shell.bash hook)" | ||
conda activate ./env |
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