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2 years ago
import numpy as np
import torch
inputs = np.array ([[73,67,43],
                   [91,88,64],
                   [87,134,58],
                   [102,43,37],
                   [69,96,70]], dtype='float32')
targets = np.array([[56,70],
                   [81,101],
                   [119,133],
                   [22,37],
                   [103,119]], dtype='float32')
inputs = torch.from_numpy(inputs)
targets = torch.from_numpy(targets)
print(inputs)
print(targets)
tensor([[ 73., 67., 43.], [ 91., 88., 64.], [ 87., 134., 58.], [102., 43., 37.], [ 69., 96., 70.]]) tensor([[ 56., 70.], [ 81., 101.], [119., 133.], [ 22., 37.], [103., 119.]]) 
w = torch.randn(2,3,requires_grad=True)
b = torch.randn(2,requires_grad=True)