hello sir! I tried to run your code,but there are some bug and do not know how to solve,here are the Traceback :
MNIST:
File "/home/sdc/Desktop/STAWM-master/mnist_class_28.py", line 121, in
run(8, 512)
File "/home/sdc/Desktop/STAWM-master/mnist_class_28.py", line 115, in run
trial.run(200)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 121, in wrapper
res = func(self, *args, kwargs)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 703, in run
final_metrics = self._fit_pass(state)[torchbearer.METRICS]
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 276, in wrapper
res = func(self, *args, *kwargs)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 768, in _fit_pass
state[torchbearer.OPTIMIZER].step(closure)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torch/optim/adam.py", line 58, in step
loss = closure()
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 752, in closure
state[torchbearer.Y_PRED] = state[torchbearer.MODEL](state[torchbearer.X], state=state)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(input, kwargs)
File "/home/sdc/Desktop/STAWM-master/mnist_class_28.py", line 83, in forward
x = self.memory.glimpse(x, image)
File "/home/sdc/Desktop/STAWM-master/memory.py", line 112, in glimpse
x = self.locator(pose, image)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "/home/sdc/Desktop/STAWM-master/modules.py", line 29, in forward
theta = theta.view(x.size(0), 2, 4)
RuntimeError: shape '[128, 2, 4]' is invalid for input of size 768
Celeba:
File "/home/sdc/Desktop/STAWM-master/celeba_draw_32.py", line 292, in
run(8, 32, 128, 0, device='cuda')
File "/home/sdc/Desktop/STAWM-master/celeba_draw_32.py", line 288, in run
trial.run(100)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 121, in wrapper
res = func(self, *args, kwargs)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 703, in run
final_metrics = self._fit_pass(state)[torchbearer.METRICS]
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 276, in wrapper
res = func(self, *args, *kwargs)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 768, in _fit_pass
state[torchbearer.OPTIMIZER].step(closure)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torch/optim/adam.py", line 58, in step
loss = closure()
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 752, in closure
state[torchbearer.Y_PRED] = state[torchbearer.MODEL](state[torchbearer.X], state=state)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(input, kwargs)
File "/home/sdc/Desktop/STAWM-master/celeba_draw_32.py", line 146, in forward
x, inverse = self.memory.glimpse(x, image)
File "/home/sdc/Desktop/STAWM-master/memory.py", line 112, in glimpse
x = self.locator(pose, image)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "/home/sdc/Desktop/STAWM-master/modules.py", line 29, in forward
theta = theta.view(x.size(0), 2, 4)
RuntimeError: shape '[128, 2, 4]' is invalid for input of size 192
Seems to be working fine for me. The line theta = theta.view(x.size(0), 2, 4) is actually theta = theta.view(x.size(0), 2, 3) in the codebase. Changing it to that should work
hello sir! I tried to run your code,but there are some bug and do not know how to solve,here are the Traceback :
MNIST: File "/home/sdc/Desktop/STAWM-master/mnist_class_28.py", line 121, in
run(8, 512)
File "/home/sdc/Desktop/STAWM-master/mnist_class_28.py", line 115, in run
trial.run(200)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 121, in wrapper
res = func(self, *args, kwargs)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 703, in run
final_metrics = self._fit_pass(state)[torchbearer.METRICS]
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 276, in wrapper
res = func(self, *args, *kwargs)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 768, in _fit_pass
state[torchbearer.OPTIMIZER].step(closure)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torch/optim/adam.py", line 58, in step
loss = closure()
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 752, in closure
state[torchbearer.Y_PRED] = state[torchbearer.MODEL](state[torchbearer.X], state=state)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(input, kwargs)
File "/home/sdc/Desktop/STAWM-master/mnist_class_28.py", line 83, in forward
x = self.memory.glimpse(x, image)
File "/home/sdc/Desktop/STAWM-master/memory.py", line 112, in glimpse
x = self.locator(pose, image)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "/home/sdc/Desktop/STAWM-master/modules.py", line 29, in forward
theta = theta.view(x.size(0), 2, 4)
RuntimeError: shape '[128, 2, 4]' is invalid for input of size 768
Celeba: File "/home/sdc/Desktop/STAWM-master/celeba_draw_32.py", line 292, in
run(8, 32, 128, 0, device='cuda')
File "/home/sdc/Desktop/STAWM-master/celeba_draw_32.py", line 288, in run
trial.run(100)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 121, in wrapper
res = func(self, *args, kwargs)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 703, in run
final_metrics = self._fit_pass(state)[torchbearer.METRICS]
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 276, in wrapper
res = func(self, *args, *kwargs)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 768, in _fit_pass
state[torchbearer.OPTIMIZER].step(closure)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torch/optim/adam.py", line 58, in step
loss = closure()
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torchbearer/trial.py", line 752, in closure
state[torchbearer.Y_PRED] = state[torchbearer.MODEL](state[torchbearer.X], state=state)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(input, kwargs)
File "/home/sdc/Desktop/STAWM-master/celeba_draw_32.py", line 146, in forward
x, inverse = self.memory.glimpse(x, image)
File "/home/sdc/Desktop/STAWM-master/memory.py", line 112, in glimpse
x = self.locator(pose, image)
File "/home/sdc/Desktop/test/test/lib/python3.5/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "/home/sdc/Desktop/STAWM-master/modules.py", line 29, in forward
theta = theta.view(x.size(0), 2, 4)
RuntimeError: shape '[128, 2, 4]' is invalid for input of size 192