Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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47 行
1.4 KiB

import os
from distutils.version import LooseVersion
import pkg_resources
from mlagents.torch_utils import cpu_utils
def assert_torch_installed():
# Check that torch version 1.6.0 or later has been installed. If not, refer
# user to the PyTorch webpage for install instructions.
torch_pkg = None
try:
torch_pkg = pkg_resources.get_distribution("torch")
except pkg_resources.DistributionNotFound:
pass
assert torch_pkg is not None and LooseVersion(torch_pkg.version) >= LooseVersion(
"1.6.0"
), (
"A compatible version of PyTorch was not installed. Please visit the PyTorch homepage "
+ "(https://pytorch.org/get-started/locally/) and follow the instructions to install. "
+ "Version 1.6.0 and later are supported."
)
assert_torch_installed()
# This should be the only place that we import torch directly.
# Everywhere else is caught by the banned-modules setting for flake8
import torch # noqa I201
torch.set_num_threads(cpu_utils.get_num_threads_to_use())
os.environ["KMP_BLOCKTIME"] = "0"
# Known PyLint compatibility with PyTorch https://github.com/pytorch/pytorch/issues/701
# pylint: disable=E1101
if torch.cuda.is_available():
torch.set_default_tensor_type(torch.cuda.FloatTensor)
device = torch.device("cuda")
else:
torch.set_default_tensor_type(torch.FloatTensor)
device = torch.device("cpu")
nn = torch.nn
def default_device():
return device