Created
March 8, 2019 13:32
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""" | |
https://discuss.pytorch.org/t/multi-layer-rnn-with-dataparallel/4450/2 | |
https://pytorch.org/docs/stable/nn.html | |
""" | |
import torch | |
import os | |
os.environ['CUDA_VISIBLE_DEVICES'] = '0,1' | |
class Net(torch.nn.Module): | |
def __init__(self, input_size, hidden_size): | |
super(Net, self).__init__() | |
self.gru = torch.nn.GRU(input_size,hidden_size, num_layers=2, batch_first=False) | |
for p in self.gru.parameters(): | |
torch.nn.init.normal_(p) | |
def forward(self, input_, h0): | |
output, ht = self.gru(input_,h0) | |
return output, ht | |
if __name__ == '__main__': | |
model = torch.nn.DataParallel(Net(10,200), device_ids = [0,1], dim=1).cuda() | |
input_ = torch.randn(5,3,10) | |
h0 = torch.randn(2,3,200) | |
output,hn = model(input_,h0) |
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