Documentation / Troubleshooting / Error messages
Error messages
Modeling view
Border lost due to stride (${shape}).
{shape}: (Vertical stride, Horizontal stride, Filter).
Cause /
If a block’s stride is greater than 1, information may be lost at the border of the block input.
This means that the convolutional filter cannot be evenly applied at the border of the block input. Therefore some information will be lost.
Figure 1. A horizontal stride of 2 will in this case result in lost information.
Remedy /
To remove the warning, make sure that:
input_size - offset is evenly divisible by the stride, where:
* input_size is the output size of the previous block
* offset is the kernel’s size.
Example: You’ll get this warning if your block input is 60x60, your kernel is 3x3, and you select a stride of 4. Change the stride to 3 to resolve this warning.
This is just a warning, it does not affect the model in any major way, especially if you get it on the first few blocks.
However, if the amount of border lost is in the same order of magnitude as the corresponding input dimension, it means that a significant part of the image is being lost. Then it is important to fix this warning.
