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prod_all / prod_keepdim are like sum_all / sum_keepdim but for product. numpy has this implemented. It is the torch.prod equivalent with the dim argument. It will be good to have this implemented.
The library I am working on burn - is adding this functionality but I have to implement it for candle in the burn codebase.
The text was updated successfully, but these errors were encountered:
prod_all / prod_keepdim are like sum_all / sum_keepdim but for product. numpy has this implemented. It is the torch.prod equivalent with the dim argument. It will be good to have this implemented.
The library I am working on burn - is adding this functionality but I have to implement it for candle in the burn codebase.
The text was updated successfully, but these errors were encountered: