Closed jwnirvana closed 5 years ago
Hello. The num_worker is 1 to default, then the GPU utilization is around 25%. When the num_worker is 8, that is around 60%. However, a new problem occurs: =====> epoch[0/300] iter: (369/371) cur_lr: 0.000997 loss: 1.175 time:0.23 =====> epoch[0/300] iter: (370/371) cur_lr: 0.000997 loss: 0.740 time:0.23 cityscapes_train.py:42: UserWarning: volatile was removed and now has no effect. Use with torch.no_grad(): instead. input_var = Variable(input, volatile=True).cuda() [0/500] time: 0.80 [1/500] time: 0.02 [2/500] time: 0.02 [3/500] time: 0.02 [4/500] time: 0.02 [5/500] time: 0.02 [6/500] time: 0.02 [7/500] time: 0.02 [8/500] time: 0.02 [9/500] time: 0.02 [10/500] time: 0.02 [11/500] time: 0.02 [12/500] time: 0.02 [13/500] time: 0.02 [14/500] time: 0.02 [15/500] time: 0.02 [16/500] time: 0.02 [17/500] time: 0.02 [18/500] time: 0.02 [19/500] time: 0.02 [20/500] time: 0.02 [21/500] time: 0.02 [22/500] time: 0.02 [23/500] time: 0.02 [24/500] time: 0.02 [25/500] time: 0.02 [26/500] time: 0.02 [27/500] time: 0.02 [28/500] time: 0.02 [29/500] time: 0.02 [30/500] time: 0.02 [31/500] time: 0.02 [32/500] time: 0.02 [33/500] time: 0.02 [34/500] time: 0.02 [35/500] time: 0.02 [36/500] time: 0.02 [37/500] time: 0.02 [38/500] time: 0.02 [39/500] time: 0.02 [40/500] time: 0.02 [41/500] time: 0.02 [42/500] time: 0.02 [43/500] time: 0.02 [44/500] time: 0.02 [45/500] time: 0.02 [46/500] time: 0.02 [47/500] time: 0.02 [48/500] time: 0.02 [49/500] time: 0.02 [50/500] time: 0.02 [51/500] time: 0.02 [52/500] time: 0.02 [53/500] time: 0.02 [54/500] time: 0.02 [55/500] time: 0.02 [56/500] time: 0.02 [57/500] time: 0.02 [58/500] time: 0.02 [59/500] time: 0.02 [60/500] time: 0.02 [61/500] time: 0.02 [62/500] time: 0.02 [63/500] time: 0.02 [64/500] time: 0.02 [65/500] time: 0.02 [66/500] time: 0.02 [67/500] time: 0.02 [68/500] time: 0.02 [69/500] time: 0.02 [70/500] time: 0.02 [71/500] time: 0.02 [72/500] time: 0.02 [73/500] time: 0.02 [74/500] time: 0.02 [75/500] time: 0.02
with torch.no_grad():
I do not know what this means. Could you tell me that,please? Thank you.
Hello. The num_worker is 1 to default, then the GPU utilization is around 25%. When the num_worker is 8, that is around 60%. However, a new problem occurs: =====> epoch[0/300] iter: (369/371) cur_lr: 0.000997 loss: 1.175 time:0.23 =====> epoch[0/300] iter: (370/371) cur_lr: 0.000997 loss: 0.740 time:0.23 cityscapes_train.py:42: UserWarning: volatile was removed and now has no effect. Use
with torch.no_grad():instead. input_var = Variable(input, volatile=True).cuda() [0/500] time: 0.80 [1/500] time: 0.02 [2/500] time: 0.02 [3/500] time: 0.02 [4/500] time: 0.02 [5/500] time: 0.02 [6/500] time: 0.02 [7/500] time: 0.02 [8/500] time: 0.02 [9/500] time: 0.02 [10/500] time: 0.02 [11/500] time: 0.02 [12/500] time: 0.02 [13/500] time: 0.02 [14/500] time: 0.02 [15/500] time: 0.02 [16/500] time: 0.02 [17/500] time: 0.02 [18/500] time: 0.02 [19/500] time: 0.02 [20/500] time: 0.02 [21/500] time: 0.02 [22/500] time: 0.02 [23/500] time: 0.02 [24/500] time: 0.02 [25/500] time: 0.02 [26/500] time: 0.02 [27/500] time: 0.02 [28/500] time: 0.02 [29/500] time: 0.02 [30/500] time: 0.02 [31/500] time: 0.02 [32/500] time: 0.02 [33/500] time: 0.02 [34/500] time: 0.02 [35/500] time: 0.02 [36/500] time: 0.02 [37/500] time: 0.02 [38/500] time: 0.02 [39/500] time: 0.02 [40/500] time: 0.02 [41/500] time: 0.02 [42/500] time: 0.02 [43/500] time: 0.02 [44/500] time: 0.02 [45/500] time: 0.02 [46/500] time: 0.02 [47/500] time: 0.02 [48/500] time: 0.02 [49/500] time: 0.02 [50/500] time: 0.02 [51/500] time: 0.02 [52/500] time: 0.02 [53/500] time: 0.02 [54/500] time: 0.02 [55/500] time: 0.02 [56/500] time: 0.02 [57/500] time: 0.02 [58/500] time: 0.02 [59/500] time: 0.02 [60/500] time: 0.02 [61/500] time: 0.02 [62/500] time: 0.02 [63/500] time: 0.02 [64/500] time: 0.02 [65/500] time: 0.02 [66/500] time: 0.02 [67/500] time: 0.02 [68/500] time: 0.02 [69/500] time: 0.02 [70/500] time: 0.02 [71/500] time: 0.02 [72/500] time: 0.02 [73/500] time: 0.02 [74/500] time: 0.02 [75/500] time: 0.02I do not know what this means. Could you tell me that,please? Thank you.