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Runtime error overflow when unpacking long

6/ site- packages/ torch/ _ tensor_ str. py", line 96, in _ number_ format if value! item( ) ) : RuntimeError: Overflow when unpacking long > > > torch. so running: a = torch. Tensor( 2, 3) print( a[ 1: 2, 3: 4] ). returns either tensor( [ 0. item( ) ) : RuntimeError: Overflow when unpacking long. I am using python 3. cuda( ) is called inside your training/ test loop, which is the problem. As the error message suggests, you repeatedly convert parameters( tensors) in your model to cuda, which is not the right way to convert model garding the RuntimeError : I cannot reproduce the error in Linux distros. As mentioned in the comments, have a look at the issues/ 6339: Error when printing tensors containing large values · share| improve this. on an Ubuntu machine in CPU mode, which gives me following error, what would be the reason and how to fix.

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    Runtime long when

    item( ) ) : 97 int_ mode = False 98 break RuntimeError: Overflow when unpacking long. 早速 RuntimeError: Overflow when unpacking long というエラーが出ました。 調べる とフォーラムに回答がありました。 torch. empty( ) はun- initializedなデータであり、 これ は非常に桁数の大きいfloat型であるためOverflowしてしまう、 との. As the error message suggests, you repeatedly convert parameters( tensors) in your model to cuda, which is not the right way to convert model into. I have received this same error RuntimeError: Overflow when unpacking long as well when using torch. empty( 5, 3), as seen in the Blitz 60 minute tutorial. Has this not been fixed or is this to be expected? Tensor( [ float( ' inf' ) ] ). sum( ) # inf torch. Tensor( [ float( ' inf' ) ] ) ). sum( ) # RuntimeError: value cannot be converted to type double without overflow: inf print( torch. _ _ version_ _ ) # 0.

    I get this Error: ValueError: too many values to unpack ( expected 2). If I just try to skip the first dimension by doing x, i, j = a. size( ), I get this: RuntimeError: invalid argument 1: expected a matrix or a vector at.