WebAug 18, 2024 · I can reproduce this, but I'm not sure if it is worth fixing. The repeat pattern being used here is repeating a Tensor along some dimension of size 1. The best thing to actually do here is to expand the tensors along a dimension to avoid a copy; replacing the repeat in the benchmark code with a expand produces the best performance on my … WebNov 1, 2024 · Hi, expand () will never allocate new memory. And so require the expanded dimension to be of size 1. repeat () will always allocate new memory and the repeated …
How to repeat tensor in a specific new dimension in PyTorch
WebDec 23, 2024 · torch.Tensor有两个实例方法可以用来扩展某维的数据的尺寸,分别是 repeat () 和 expand () : expand () expand (*sizes) -> Tensor *sizes (torch.Size or int) - the … WebJul 30, 2024 · pytorch torch.expand和torch.repeat的区别详解 09-18 主要介绍了 pytorch torch. expand 和torch. repeat 的 区别 详解,文 中 通过示例代码介绍的非常详细,对大家 … customs broker germany
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WebNov 9, 2024 · Supports numpy, pytorch, tensorflow, jax, and others. Recent updates: einops 0.6 introduces packing and unpacking; einops 0.5: einsum is now a part of einops; Einops paper is accepted for oral presentation at ICLR 2024 (yes, it worth reading) flax and oneflow backend added; torch.jit.script is supported for pytorch layers; powerful EinMix added ... WebApr 19, 2024 · From the document, Expand this tensor to the same size as other . self.expand_as (other) is equivalent to self.expand (other.size ()) . And the .expand () operation involves some broadcasting semantics here. I think you could not “expand” a large size tensor to a smaller one. So the code snippet above will not work. chayote carbohydrate