File size: 1,098 Bytes
404d2af 8b973ee 404d2af 8b973ee 404d2af 8b973ee 404d2af 8b973ee 404d2af 8b973ee 404d2af 8b973ee 404d2af |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 |
# Copyright 2019-present NAVER Corp.
# CC BY-NC-SA 3.0
# Available only for non-commercial use
import os, pdb # , shutil
import numpy as np
import torch
def mkdir_for(file_path):
os.makedirs(os.path.split(file_path)[0], exist_ok=True)
def model_size(model):
"""Computes the number of parameters of the model"""
size = 0
for weights in model.state_dict().values():
size += np.prod(weights.shape)
return size
def torch_set_gpu(gpus):
if type(gpus) is int:
gpus = [gpus]
cuda = all(gpu >= 0 for gpu in gpus)
if cuda:
os.environ["CUDA_VISIBLE_DEVICES"] = ",".join([str(gpu) for gpu in gpus])
assert cuda and torch.cuda.is_available(), "%s has GPUs %s unavailable" % (
os.environ["HOSTNAME"],
os.environ["CUDA_VISIBLE_DEVICES"],
)
torch.backends.cudnn.benchmark = True # speed-up cudnn
torch.backends.cudnn.fastest = True # even more speed-up?
print("Launching on GPUs " + os.environ["CUDA_VISIBLE_DEVICES"])
else:
print("Launching on CPU")
return cuda
|