Creating a Sparse Pruner - 3.0 English

The pruner requires two arguments:

• The model to be pruned
• The inputs needed by the model for inference

import torch
from pytorch_nndct import SparsePruner

inputs = torch.randn([1, 3, 224, 224], dtype=torch.float32)
pruner = SparsePruner(model, inputs)