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The compression technique used for pruning converts the model into a sparse model and save's it efficiently (maybe using csr format or other) but this doesn't help in reducing the inference time as the no of parameters still remains the same?
Please correct me if i am wrong
The text was updated successfully, but these errors were encountered:
The compression technique used for pruning converts the model into a sparse model and save's it efficiently (maybe using csr format or other) but this doesn't help in reducing the inference time as the no of parameters still remains the same?
Please correct me if i am wrong
The text was updated successfully, but these errors were encountered: