Comments (4)
Yes, you are right in that the custom c++ module for backward warping is currently not used (in favor of the native tensorflow implementation in image_warp.py). It is possible to remove it from compilation in ops.py, but it's not a big deal (as in should not be noticeable) as compilation is done only once upon setup and it should be very fast.
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And can you offer me the help ?There is a little problem with me about the complilation of correlation function and i found there is no any python statement to complete the operation of correlation function.Could you give some suggestion?
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The correlation function is only possible as a custom op right now (would likely be too slow otherwise). Which error are you getting? Are the other ops compiling?
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I have little knowledge about the complilation,so i do not know how to do the complication.But still thank you very much, i have complete the correlation layer with python on the condition that stride_1=1 and stride_2=1.
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Related Issues (20)
- tensorflow.python.framework.errors_impl.NotFoundError: ./backward_warp_op.so: undefined symbol: __cudaPushCallConfiguration HOT 10
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- NoneType in downsample HOT 4
- "step" parameter to load frames has no effect
- error: constexpr function return is non-constant HOT 1
- Unsupervised training questions HOT 2
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- Ternary Loss Implementation vs. Official Publication
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- fine tuning pwc trained model HOT 2
- error : .\backward_warp_op.so not found HOT 2
- Any template to train new dataset? HOT 2
- lib_handle = py_tf.TF_LoadLibrary(library_filename) tensorflow.python.framework.errors_impl.NotFoundError: HOW TO GET RIDE OF THIS ERROR HOT 3
- How to train with my downloaded data ? HOT 1
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- Some confusion about census loss
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