Comments (3)
Hi @LeonardKnuth,
Could you post a simple model that you are trying to train? I haven't used it on multi-gpu yet, but I would be interested to see what's happening.
cheers.
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Hi @viorik ,
My model is binding with the data, so currently it's not easy to clean it up. However, the main idea is straightforward if we use the nn.DataParallelTable (see more at https://github.com/torch/cunn/blob/master/doc/cunnmodules.md#nn.cunnmodules.dok).
I've always thought how to use LSTM or ConvLSTM in parallel, and found it seems impossible when the recurrent modules never call forget (e.g., remember('both')) because they have to run in an ordered way (i.e., the current state must depend on the previous state). Do you think so? Thanks.
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Hi @LeonardKnuth
Apologies for the late reply. Any news?
I think I agree with what you said, and I can't think of a way to make this run. Actually, a colleague set up the training on multi-gpus, the code was running, but the network didn't seem to learn anything. And I suspect it's because of what you said.
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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
- 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
- UntiedConvLSTM: Error In Back-propagation HOT 4
- 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
- Batches with ConvLSTM HOT 2
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