introduction to pytorch listing - creating tensors from numpy import numpy as np np array([ ]tensor_a torch from_numpy(atensor_a output[tensor([ ]as we mentioned in the introductiontensors are multi-dimensional arrays of the same type we can specify the type when we construct tensor in the following exampleswe initialize the tensor with -bit floating point numbers -bit floating-point numbersand -bit floating point numbers pytorch defines total of eight types (consult the pytorch documentation for more details listing - demonstrates constructing tensors with few of the popular datatypes available in pytorch listing - defining tensor datatypes in [ ] torch tensor([[ ],[ ]]dtype=torch float in [ ] out[ ]tensor([[ ][ ]]in [ ] torch tensor([[ ],[ ]]dtype=torch float in [ ] out[ ]tensor([[ ][ ]]dtype=torch float