Comments (2)
Yes. Because we use a 5-frame input, and the networks are all quite large. So you cannot really fit a batch of 2 into a single GPU.
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@Yuliang-Zou Thanks for the response. Does that mean that the model is loaded the "batch_size" number of times onto the GPU memory?
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Related Issues (20)
- Pretraining the network HOT 15
- error with test_flownet_2012.py/test_flownet_2015.py HOT 2
- train ERROR HOT 4
- Question about Flow_SCALE during testing HOT 4
- version `CXXABI_1.3.9' not found HOT 1
- flownet produces non-deterministic output HOT 1
- How to cacluate the EPE for the optical flow 2012/2015 test sets? HOT 4
- Testing on Make3D/ Training on cityscape HOT 4
- saving depth images HOT 2
- Result visualization HOT 2
- Test pose code HOT 6
- Do you have the generated ground truth depth map of Kitti? HOT 1
- The shuffle operation in the data loading process. HOT 3
- models
- Questions about pre-trained loss and supplementary material
- Saving Flow and Pose models separately during training HOT 1
- About the depth consistency loss HOT 8
- Kitti 2015 optical flow results? HOT 6
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