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In this advanced tutorial, we explore tensor expansion techniques in PyTorch using .repeat_interleave(), .tile(), and broadcasting. These methods allow you to duplicate and expand tensor data in highly customizable ways — critical for aligning tensor shapes, creating synthetic data, and controlling how elements are repeated along specific ...
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