introduction to pytorch in [ ] torch tensor([[ ],[ ]]dtype=torch float in [ ] out[ ]tensor([[ ][ ]]dtype=torch float table - shows the different datatypes and their pytorch equivalents table - datatypes and their pytorch equivalents data type pytorch equivalent -bit floating point torch float or torch float -bit floating point torch float or torch double -bit floating point torch float or torch half -bit integer (unsignedtorch uint -bit integer (signedtorch int -bit integer (signedtorch int or torch short -bit integer (signedtorch int or torch int -bit integer (signedtorch int or torch long boolean torch bool let' now look at other ways in which tensors can be constructed common requirement is to construct tensor filled with random values listing - demonstrates the creation of tensor with defined shape having random values