import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.optim import SGD
import matplotlib.pyplot as plt
training_inputs = torch.tensor(np.load("inputs_training.npy")).float()
training_targets = torch.tensor(np.load("targets_training.npy")).float()
test_inputs = torch.tensor(np.load("inputs_test.npy")).float()
test_targets = torch.tensor(np.load("targets_test.npy")).float()
adj = np.load("adjmat.npy")