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Added tensorboard #4

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Merged
xuty-007 merged 1 commit into from
Mar 4, 2020
Merged

Added tensorboard #4

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5 changes: 3 additions & 2 deletions requirements.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,7 @@ requests==2.14.2
scikit-learn==0.20.3
scipy==1.2.1
six==1.10.0
torch==0.4.0
torch>=0.4.0,<0.5.0
torchvision==0.2.1

tensorboard==2.1.0
tensorboardX==2.0
13 changes: 13 additions & 0 deletions src/train_new.py
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Expand Up @@ -8,6 +8,7 @@
import torch
import torch.nn.functional as F
import torch.optim as optim
from tensorboardX import SummaryWriter

from earlystopping import EarlyStopping
from sample import Sampler
Expand Down Expand Up @@ -47,6 +48,7 @@
parser.add_argument('--datapath', default="data/", help="The data path.")
parser.add_argument("--early_stopping", type=int,
default=0, help="The patience of earlystopping. Do not adopt the earlystopping when it equals 0.")
parser.add_argument("--no_tensorboard", default=False, help="Disable writing logs to tensorboard")

# Model parameter
parser.add_argument('--type',
Expand Down Expand Up @@ -152,6 +154,10 @@
early_stopping = EarlyStopping(patience=args.early_stopping, verbose=False)
print("Model is saving to: %s" % (early_stopping.fname))

if args.no_tensorboard is False:
tb_writer = SummaryWriter(
comment=f"-dataset_{args.dataset}-type_{args.type}"
)

def get_lr(optimizer):
for param_group in optimizer.param_groups:
Expand Down Expand Up @@ -263,6 +269,13 @@ def test(test_adj, test_fea):
's_time: {:.4f}s'.format(sampling_t),
't_time: {:.4f}s'.format(outputs[5]),
'v_time: {:.4f}s'.format(outputs[6]))

if args.no_tensorboard is False:
tb_writer.add_scalars('Loss', {'train': outputs[0], 'val': outputs[2]}, epoch)
tb_writer.add_scalars('Accuracy', {'train': outputs[1], 'val': outputs[3]}, epoch)
tb_writer.add_scalar('lr', outputs[4], epoch)
tb_writer.add_scalars('Time', {'train': outputs[5], 'val': outputs[6]}, epoch)


loss_train[epoch], acc_train[epoch], loss_val[epoch], acc_val[epoch] = outputs[0], outputs[1], outputs[2], outputs[
3]
Expand Down