Comments (4)
It seems to me the problem is coming from the fact that you are not specifying the batchsize. If you look in ConvLSTM (the parent of UntiedConvLSTM), the batchsize is set to nil by default. But for your input data, the batchsize should be explicitly set as 1. Hence use
convlstm = nn.UntiedConvLSTM(3,3,6,3,5,1,1)
Let me know if this helps.
from convlstm.
Thank you so much @viorik.
It works now.
I thought its not mandatory to specify batch-size, as in "model-demo-ConvLSTM.lua" UntiedConvLSTM was initialized without it.
net:add(nn.UntiedConvLSTM(opt.nFiltersMemory[1],opt.nFiltersMemory[2], opt.nSeq, opt.kernelSize, opt.kernelSizeMemory, opt.stride))
But again, I should have gone through constructor details of both novel layers.
from convlstm.
It was initialised without batchsize since the data in that demo is not structured in batches, so there indeed the batchsize is nil.
from convlstm.
Thanks again @viorik
Its clear now.
from convlstm.
Related Issues (19)
- Could you please upload the mnist data file (dataset_fly_64x64_lines_train.t7')? HOT 4
- Can not read dataset file HOT 2
- Use ConvLSTM on multiple GPUs HOT 3
- Tensor and array of tensors cannot be both used in nn.SequencerCriterion(...):updateOutput() HOT 3
- Error with model-demo-ConvLSTM.lua : attempt to index global 'opt' (a nil value) HOT 2
- Miss match Tensor Size between input2gate and output2gate HOT 2
- Convolution with no bias HOT 4
- understanding ConvLSTM constructor HOT 2
- Confusions about data in the main.lua HOT 5
- Unable to load dataset_fly_64x64_lines_test.t7 HOT 1
- Input question HOT 1
- if there is a version of tensorflow HOT 1
- Code not working with new rnn update HOT 7
- stnbhwd package not preloaded HOT 7
- Generative Adversarial Nets HOT 2
- Assigning Initial Cell States for t=0 HOT 7
- Compatibility with nn.BiSequencer() HOT 2
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from convlstm.