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[BE] Make coding_ddpg.py runnable outside of Colab env #2750

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merged 3 commits into from
Jan 29, 2024
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[BE] Make coding_ddpg.py runnable outside of Colab env #2750

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[BE] Make coding_ddpg.py runnable outside of Colab env
malfet Jan 29, 2024
8870fef
Update advanced_source/coding_ddpg.py
Jan 29, 2024
817e892
Update advanced_source/coding_ddpg.py
malfet Jan 29, 2024
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21 changes: 15 additions & 6 deletions advanced_source/coding_ddpg.py
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Original file line number Diff line number Diff line change
Expand Up @@ -63,16 +63,25 @@
# %%bash
# pip3 install torchrl mujoco glfw

import torchrl
import torch
import tqdm
from typing import Tuple

# sphinx_gallery_start_ignore
import warnings
warnings.filterwarnings("ignore")
import multiprocessing
# TorchRL prefers spawn method, that restricts creation of ``~torchrl.envs.ParallelEnv`` inside
# `__main__` method call, but for the easy of reading the code switch to fork
# which is also a default spawn method in Google's Colaboratory
try:
multiprocessing.set_start_method("fork")
except RuntimeError:
assert multiprocessing.get_start_method() == "fork"
# sphinx_gallery_end_ignore


import torchrl
import torch
import tqdm
from typing import Tuple

###############################################################################
# We will execute the policy on CUDA if available
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
Expand Down Expand Up @@ -1219,6 +1228,6 @@ def ceil_div(x, y):
#
# To iterate further on this loss module we might consider:
#
# - Using `@dispatch` (see `[Feature] Distpatch IQL loss module <https://github.com/pytorch/rl/pull/1230>`_.
# - Using `@dispatch` (see `[Feature] Distpatch IQL loss module <https://github.com/pytorch/rl/pull/1230>`_.)
# - Allowing flexible TensorDict keys.
#