Comments (1)
fix by replacement in "X-Temporal/x_temporal/cuda_shift/src/shift_cuda.cpp"
before
ShiftDataCudaForward(THCState_getCurrentStream(),
data.data<float>(),
shift.data<int>(),
batch_size,
channels,
tsize,
hwsize,
groupsize,
out.data<float>());
after
ShiftDataCudaForward(at::cuda::getCurrentCUDAStream(),
data.data<float>(),
shift.data<int>(),
batch_size,
channels,
tsize,
hwsize,
groupsize,
out.data<float>());
from x-temporal.
Related Issues (20)
- Could you release trained models? HOT 2
- evaluate on test dataset when training? HOT 7
- meta_file when training?
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- Abort the multi-label HOT 4
- Pretrained model config file HOT 5
- About the model result HOT 4
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- How can you get the meta files: .tex > Thanks for your feedback. You can set trainer.no_partial_bn = True if batch size >= 6 in each gpu and retry it, this will not affect the accuracy. That module exists some bug with distributed training, we will fix it quickly. HOT 1
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- When training,the log file stop at 'save_dir: checkpoint/' and with no update again HOT 1
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from x-temporal.