Can you reshape the responding kernels after channel pruning, the convolutional cores is full of zero but can not reduce the computation in the tflite which i think could be completely removed

[Anonymity2022]

Is your feature request related to a problem? Please describe.
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]

Describe the solution you'd like
A clear and concise description of what you want to happen.

Describe alternatives you've considered
A clear and concise description of any alternative solutions or features you've considered.

Additional context
Add any other context or screenshots about the feature request here.

[jiaxiang-wu]

Directly reshaping the convolutional kernel after pruning is more complicated, since you need to consider all the BN/ReLU/Pooling layers before and after this convolutional layer, and adjust their input (or output) tensors' shape. We have not found out an elegant way to do so. If you have experience in this, we highly welcome your contribution, e.g. propose a pull request.