24 lines
600 B
Python
24 lines
600 B
Python
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from torch.autograd.variable import Variable
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import torch
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def random_noise(size):
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n = Variable(torch.randn(size, 100))
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if torch.cuda.is_available():
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return n.cuda()
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return n
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def real_data_target(size):
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'''
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Tensor containing ones, with shape = size
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'''
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data = Variable(torch.ones(size, 1))
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if torch.cuda.is_available(): return data.cuda()
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return data
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def fake_data_target(size):
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'''
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Tensor containing zeros, with shape = size
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'''
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data = Variable(torch.zeros(size, 1))
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if torch.cuda.is_available(): return data.cuda()
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return data
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