Created
February 9, 2017 09:08
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| lstm = nn.LSTM(512, 512, 3).cuda() | |
| x_val = Variable(torch.randn(200, 128, 512)).cuda() | |
| y_val = Variable(torch.randn(200, 128, 512)).cuda() | |
| h0_val = Variable(torch.randn(3, 128, 512)).cuda() | |
| c0_val = Variable(torch.randn(3, 128, 512)).cuda() | |
| for i in xrange(1000): | |
| output, (_, _) = lstm(x_val, (h0_val, c0_val)) |
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