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_utils_internal.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import time
from functools import wraps
# Get relative file path
# this returns relative path from current file.
import pytest
import torch.cuda
from torchrl._utils import seed_generator
def get_relative_path(curr_file, *path_components):
return os.path.join(os.path.dirname(curr_file), *path_components)
def get_available_devices():
devices = [torch.device("cpu")]
n_cuda = torch.cuda.device_count()
if n_cuda > 0:
for i in range(n_cuda):
devices += [torch.device(f"cuda:{i}")]
return devices
def generate_seeds(seed, repeat):
seeds = [seed]
for _ in range(repeat - 1):
seed = seed_generator(seed)
seeds.append(seed)
return seeds
# Decorator to retry upon certain Exceptions.
def retry(ExceptionToCheck, tries=3, delay=3, skip_after_retries=False):
def deco_retry(f):
@wraps(f)
def f_retry(*args, **kwargs):
mtries, mdelay = tries, delay
while mtries > 1:
try:
return f(*args, **kwargs)
except ExceptionToCheck as e:
msg = "%s, Retrying in %d seconds..." % (str(e), mdelay)
print(msg)
time.sleep(mdelay)
mtries -= 1
try:
return f(*args, **kwargs)
except ExceptionToCheck as e:
if skip_after_retries:
raise pytest.skip(
f"Skipping after {tries} consecutive {str(e)}"
) from e
else:
raise e
return f_retry # true decorator
return deco_retry