Source code for nlp_architect.nn.torch

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# Copyright 2017-2019 Intel Corporation
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# Licensed under the Apache License, Version 2.0 (the "License");
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import random
import time

import numpy as np
import torch


[docs]def setup_backend(no_cuda): """Setup backend according to selected backend and detected configuration """ device = torch.device("cuda" if torch.cuda.is_available() and not no_cuda else "cpu") if torch.cuda.is_available() and not no_cuda: device = torch.device("cuda") n_gpu = torch.cuda.device_count() else: device = torch.device("cpu") n_gpu = 0 return device, n_gpu
[docs]def set_seed(seed, n_gpus=None): """set and return seed """ if seed == -1: seed = int(time.time()) random.seed(seed) np.random.seed(seed) torch.manual_seed(seed) if n_gpus is not None and n_gpus > 0: torch.cuda.manual_seed_all(seed) return seed