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Created 5 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)
print(w)
print(b)
tensor([[ 0.4744, 1.6091, -1.0200],
[ 0.5393, 0.4432, -0.9145]], requires_grad=True)
tensor([1.1678, 0.0228], requires_grad=True)