def test_softmax_grad():
from arsenal.maths.checkgrad import fdcheck
n = 20
adj = np.random.uniform(-1, 1, size=n)
x = np.random.uniform(-1, 1, size=n)
out = softmax(x)
g = d_softmax(out, x, adj)
fdcheck(lambda: softmax(x).dot(adj), x, g)
def test_softmax_grad():
from arsenal.maths.checkgrad import fdcheck
n = 20
adj = np.random.uniform(-1,1,size=n)
x = np.random.uniform(-1,1,size=n)
out = softmax(x)
g = d_softmax(out, x, adj)
fdcheck(lambda: softmax(x).dot(adj), x, g)
