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The test in facebookresearch#253 should pass but fails on MacOS for Debug builds.
To Reproduce
import random
import gym
import nle
ACTIONS = [0, 1, 2]
def main():
envs = [gym.make("NetHackScore-v0") for _ in range(2)]
env, *queue = envs
env.reset()
num_resets = 1
while num_resets < 10:
_, _, done, _ = env.step(random.choice(ACTIONS))
if done:
print("one env done")
queue.append(env)
env = queue.pop(0)
print("about to reset one env")
env.reset()
num_resets += 1
main()
Environment
Collecting environment information...
NLE version: 0.7.3+08b9280
PyTorch version: 1.9.0
Is debug build: No
CUDA used to build PyTorch: None
OS: Mac OSX 11.5.1
GCC version: Could not collect
CMake version: version 3.20.0
Python version: 3.8
Is CUDA available: No
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
This is the migrated copy of the original issue here: facebookresearch#254
🐛 Bug
The test in facebookresearch#253 should pass but fails on MacOS for Debug builds.
To Reproduce
Environment
Collecting environment information...
NLE version: 0.7.3+08b9280
PyTorch version: 1.9.0
Is debug build: No
CUDA used to build PyTorch: None
OS: Mac OSX 11.5.1
GCC version: Could not collect
CMake version: version 3.20.0
Python version: 3.8
Is CUDA available: No
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
Versions of relevant libraries:
[pip3] numpy==1.19.2
[pip3] numpysane==0.34
[pip3] torch==1.9.0
[conda] blas 1.0 mkl
[conda] mkl 2019.4 233
[conda] mkl-service 2.3.0 py38h9ed2024_0
[conda] mkl_fft 1.3.0 py38ha059aab_0
[conda] mkl_random 1.1.1 py38h959d312_0
[conda] pytorch 1.9.0 py3.8_0 pytorch
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