[Feature] Roboset datasets (#1743)

Author: Vincent Moens

.github/unittest/linux_libs/scripts_d4rl/run_test.sh

@@ -37,25 +37,6 @@ conda deactivate && conda activate ./env
 # this workflow only tests the libs
 python -c "import gym, d4rl"
 
-python .github/unittest/helpers/coverage_run_parallel.py -m pytest test/test_libs.py --instafail -v --durations 200 --capture no -k TestD4RL --error-for-skips
+python .github/unittest/helpers/coverage_run_parallel.py -m pytest test/test_libs.py --instafail -v --durations 200 --capture no -k TestD4RL --error-for-skips --runslow
 coverage combine
 coverage xml -i
-
-## check what happens if we update gym
-#pip install gym -U
-#python -c """
-#from torchrl.data.datasets import D4RLExperienceReplay
-#data = D4RLExperienceReplay('halfcheetah-medium-v2', batch_size=10, from_env=False, direct_download=True)
-#for batch in data:
-#    print(batch)
-#    break
-#
-#data = D4RLExperienceReplay('halfcheetah-medium-v2', batch_size=10, from_env=False, direct_download=False)
-#for batch in data:
-#    print(batch)
-#    break
-#
-#import d4rl
-#import gym
-#gym.make('halfcheetah-medium-v2')
-#"""

.github/unittest/linux_libs/scripts_minari/run_test.sh

@@ -22,6 +22,6 @@ conda deactivate && conda activate ./env
 # this workflow only tests the libs
 python -c "import minari"
 
-python .github/unittest/helpers/coverage_run_parallel.py -m pytest test/test_libs.py --instafail -v --durations 200 --capture no -k TestMinari --error-for-skips
+python .github/unittest/helpers/coverage_run_parallel.py -m pytest test/test_libs.py --instafail -v --durations 200 --capture no -k TestMinari --error-for-skips --runslow
 coverage combine
 coverage xml -i

.github/unittest/linux_libs/scripts_roboset/environment.yml

@@ -0,0 +1,22 @@
+channels:
+  - pytorch
+  - defaults
+dependencies:
+  - pip
+  - pip:
+    - hypothesis
+    - future
+    - cloudpickle
+    - pytest
+    - pytest-cov
+    - pytest-mock
+    - pytest-instafail
+    - pytest-rerunfailures
+    - pytest-error-for-skips
+    - expecttest
+    - pyyaml
+    - scipy
+    - hydra-core
+    - huggingface_hub
+    - tqdm
+    - h5py

.github/unittest/linux_libs/scripts_roboset/install.sh

@@ -0,0 +1,51 @@
+#!/usr/bin/env bash
+
+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
+
+set -e
+
+eval "$(./conda/bin/conda shell.bash hook)"
+conda activate ./env
+
+if [ "${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
+
+
+# submodules
+git submodule sync && git submodule update --init --recursive
+
+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 --index-url https://download.pytorch.org/whl/nightly/cpu --force-reinstall
+else
+    pip3 install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu121 --force-reinstall
+fi
+
+# install tensordict
+pip install git+https://github.com/pytorch/tensordict.git
+
+# smoke test
+python -c "import functorch;import tensordict"
+
+printf "* Installing torchrl\n"
+python setup.py develop
+
+# smoke test
+python -c "import torchrl"

.github/unittest/linux_libs/scripts_roboset/post_process.sh

@@ -0,0 +1,6 @@
+#!/usr/bin/env bash
+
+set -e
+
+eval "$(./conda/bin/conda shell.bash hook)"
+conda activate ./env