Can't see graph using torch.utils.tensorboard - tensorflow

Question

I'm trying to get used to tensorboard, and I code my models using pytorch.
However when I try to see my model using the add_graph() function, I've got this:
With this as the test code:
import numpy as np
import torch
import torchvision.transforms as transforms
import torch.nn as nn
import torch.optim as optim
from torch.utils.tensorboard import SummaryWriter
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.linear = nn.Linear(2, 1)
def forward(self, x):
x = self.linear(x)
return x
writer = SummaryWriter('runs_pytorch/test')
net = Net()
criterion = nn.CrossEntropyLoss()
optimizer = optim.SGD(net.parameters(), lr=0.001, momentum=0.9)
writer.add_graph(net, torch.zeros([4, 2], dtype=torch.float))
writer.close()
On the other hand, if I try to see a graph using TensorFlow, everything seems fine:
with this as the test code this time:
import tensorflow as tf
tf.Variable(42, name='foo')
w = tf.summary.FileWriter('runs_tensorflow/test')
w.add_graph(tf.get_default_graph())
w.flush()
w.close()
In case you are wondering, I'm using this command to start tensorboard:
tensorboard --logdir runs_pytorch
Something I noticed is that when I use it on the directory allocated for my tensorflow test, I've got the usual message with the address, but if I do the same thing with --logdir runs_pytorch I've got something more:
W1010 15:19:24.225109 15308 plugin_event_accumulator.py:294] Found more than one graph event per run, or there was a metagraph containing a graph_def, as well as one or more graph events. Overwriting the graph with the newest event.
W1010 15:19:24.226075 15308 plugin_event_accumulator.py:322] Found more than one "run metadata" event with tag step1. Overwriting it with the newest event.
I'm on windows, I tried on different browsers (chrome, firefox...).
I have tensorflow 1.14.0, torch 1.2.0, Python 3.7.3
Thank you very much for your help, it's driving me crazy!

Answer 1

There are two ways to solve it:
1. update PyTorch to 1.3.0 and above:
conda way:
conda install pytorch torchvision cudatoolkit=9.2 -c pytorch
pip way:
pip3 install torch==1.3.0+cu92 torchvision==0.4.1+cu92 -f https://download.pytorch.org/whl/torch_stable.html
2. install tensorboardX instead:
uninstall tensorboard:
if your tensorboard is installed by pip:
pip uninstall tensorboard
if your tensorboard is installed by anaconda:
conda uninstall tensorboard
install tensorboardX
pip install tensorboardX
when writing script,
change
from torch.utils.tensorboard import SummaryWriter
to
from tensorboardX import SummaryWriter

Answer 2

This might have been caused by this known problem, and it seems that it was solved in pytorch 1.3 which was realeased yesterday - check out Bug Fixes in the release notes.