RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.FloatTensor [3, 32, 3, 3]] is at version 2; expected version 1 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).

[brunzibeer]

As title, here's the full log of what happens when I try to run: python main_train.py --not_cuda --input_name cows.png

Random Seed: 6568
GeneratorConcatSkip2CleanAdd(
(head): ConvBlock(
(conv): Conv2d(3, 32, kernel_size=(3, 3), stride=(1, 1))
(norm): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(LeakyRelu): LeakyReLU(negative_slope=0.2, inplace=True)
)
(body): Sequential(
(block1): ConvBlock(
(conv): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1))
(norm): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(LeakyRelu): LeakyReLU(negative_slope=0.2, inplace=True)
)
(block2): ConvBlock(
(conv): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1))
(norm): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(LeakyRelu): LeakyReLU(negative_slope=0.2, inplace=True)
)
(block3): ConvBlock(
(conv): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1))
(norm): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(LeakyRelu): LeakyReLU(negative_slope=0.2, inplace=True)
)
)
(tail): Sequential(
(0): Conv2d(32, 3, kernel_size=(3, 3), stride=(1, 1))
(1): Tanh()
)
)
WDiscriminator(
(head): ConvBlock(
(conv): Conv2d(3, 32, kernel_size=(3, 3), stride=(1, 1))
(norm): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(LeakyRelu): LeakyReLU(negative_slope=0.2, inplace=True)
)
(body): Sequential(
(block1): ConvBlock(
(conv): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1))
(norm): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(LeakyRelu): LeakyReLU(negative_slope=0.2, inplace=True)
)
(block2): ConvBlock(
(conv): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1))
(norm): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(LeakyRelu): LeakyReLU(negative_slope=0.2, inplace=True)
)
(block3): ConvBlock(
(conv): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1))
(norm): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(LeakyRelu): LeakyReLU(negative_slope=0.2, inplace=True)
)
)
(tail): Conv2d(32, 1, kernel_size=(3, 3), stride=(1, 1))
)
Traceback (most recent call last):
File "main_train.py", line 29, in
train(opt, Gs, Zs, reals, NoiseAmp)
File "/Users/mattiabernardi/Documents/MLDL Laboratory/Papers/SinGAN/SinGAN/training.py", line 39, in train
z_curr,in_s,G_curr = train_single_scale(D_curr,G_curr,reals,Gs,Zs,in_s,NoiseAmp,opt)
File "/Users/mattiabernardi/Documents/MLDL Laboratory/Papers/SinGAN/SinGAN/training.py", line 178, in train_single_scale
errG.backward(retain_graph=True)
File "/opt/anaconda3/envs/myenv/lib/python3.6/site-packages/torch/tensor.py", line 221, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph)
File "/opt/anaconda3/envs/myenv/lib/python3.6/site-packages/torch/autograd/init.py", line 132, in backward
allow_unreachable=True) # allow_unreachable flag
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.FloatTensor [3, 32, 3, 3]] is at version 2; expected version 1 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).

[venkycode]

Encountered same error. Fortunately it has already been discussed in one of the closed issues.
#108 (comment)

[brunzibeer]

Encountered same error. Fortunately it has already been discussed in one of the closed issues.
#108 (comment)

Thank you! Apparently I'm blind as I looked if the same issue was encountered