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Super Kai (Kazuya Ito) @superkai_kazuya

Understanding PyTorch's Mode Function For Tensors

mode() function in PyTorch returns the most frequently appeared elements and their indices from a tensor. It can handle tensors of different dimensions and data types.

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*Memos:

My post explains sum() and nansum().
My post explains prod() and cartesian_prod().
My post explains mean() and nanmean().
My post explains median() and nanmedian().

mode() can get two of the 0D or more D tensors of zero or more mode values(the most frequently appeared elements) and their indices from the 0D or more D tensor of zero or more elements as shown below:
*Memos:

mode() can be used with torch or a tensor.
The 1st argument(input) with torch or using a tensor(Required-Type:tensor of int, float or bool).
The 2nd argument with torch or the 1st argument with a...