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Created 4 years ago
!conda install pytorch cpuonly -c pytorch -y
import torch
import numpy as npCollecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... done
# All requested packages already installed.
# input(temp,Rainfall and Humidity)
inputs=np.array([[73,67,43],[91,88,64],[87,134,58],[102,43,37],[69,96,70]],dtype='float32')
#targets
targets=np.array([[56,70],[81,101],[119,133],[22,37],[103,119]])
#ConvertInputs and Targets to tensors
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]], dtype=torch.int32)
#Weights and biases
w=torch.randn(2,3,requires_grad=True)
b=torch.randn(2,requires_grad=True)
print(w)
print(b)
tensor([[ 2.3725, 1.2009, -0.2889],
[ 0.0716, -0.1936, 0.9446]], requires_grad=True)
tensor([0.6080, 0.0954], requires_grad=True)