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In the PyTorch framework, it is challenging to achieve an improvement in inference speed with pruned 2D convolutional networks. However, can Taichi implement sparse 2D convolution operations to achieve inference acceleration?
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In the PyTorch framework, it is challenging to achieve an improvement in inference speed with pruned 2D convolutional networks. However, can Taichi implement sparse 2D convolution operations to achieve inference acceleration?
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