hello ，i meet a problem in libtorch
when i want to implement the tutorial follow ,i dont konw how to implament
" grad_h[h<0] = 0 " sentense.
import numpy as np
N, D_in, H, D_out = 64, 1000, 100, 10
x = np.random.randn(N, D_in)
y = np.random.randn(N, D_out)
w1 = np.random.randn(D_in, H)
w2 = np.random.randn(H, D_out)
learning_rate = 1e-6
for t in range(500):
h = x.dot(w1)
h_relu = np.maximum(h, 0)
y_pred = h_relu.dot(w2)
loss = np.square(y_pred - y).sum()
print(t, loss)
grad_y_pred = 2.0 * (y_pred - y)
grad_w2 = h_relu.T.dot(grad_y_pred)
grad_h_relu = grad_y_pred.dot(w2.T)
grad_h = grad_h_relu.copy()
grad_h[h < 0] = 0
grad_w1 = x.T.dot(grad_h)
w1 -= learning_rate * grad_w1
w2 -= learning_rate * grad_w2