Torch Einsum Precision at Reynaldo Leahy blog

Torch Einsum Precision. With t = torch.tensor([1, 2, 3]) as input, the result of torch.einsum('.', t) would return the input. einsum (einstein summation convention) is a concise way to perform tensor operations by specifying a notation. i need to use torch.einsum to do the convolution instead of using torch.nn.functional.conv2d. Einsum (equation, * operands) → tensor [source] ¶ sums the product of the elements of the input. pytorch's torch.einsum function leverages this notation to perform efficient and expressive tensor.

Pytorch比较torch.einsum和torch.matmul函数,选哪个更好? 知乎
from www.zhihu.com

einsum (einstein summation convention) is a concise way to perform tensor operations by specifying a notation. Einsum (equation, * operands) → tensor [source] ¶ sums the product of the elements of the input. pytorch's torch.einsum function leverages this notation to perform efficient and expressive tensor. With t = torch.tensor([1, 2, 3]) as input, the result of torch.einsum('.', t) would return the input. i need to use torch.einsum to do the convolution instead of using torch.nn.functional.conv2d.

Pytorch比较torch.einsum和torch.matmul函数,选哪个更好? 知乎

Torch Einsum Precision Einsum (equation, * operands) → tensor [source] ¶ sums the product of the elements of the input. pytorch's torch.einsum function leverages this notation to perform efficient and expressive tensor. i need to use torch.einsum to do the convolution instead of using torch.nn.functional.conv2d. Einsum (equation, * operands) → tensor [source] ¶ sums the product of the elements of the input. With t = torch.tensor([1, 2, 3]) as input, the result of torch.einsum('.', t) would return the input. einsum (einstein summation convention) is a concise way to perform tensor operations by specifying a notation.

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