def test_nonzero():
A = np.zeros((2, INT_OVERFLOW))
A[0][0] = 1
A.attach_grad()
with mx.autograd.record():
B = npx.nonzero(A)
assert B.shape == (1, 2)
assert B[0][0] == 0
B.backward()
assert A.grad.shape == (2, INT_OVERFLOW)
assert A.grad[0][0] == 0
def test_nonzero():
A = np.zeros((2, INT_OVERFLOW))
A[0, 1] = 1
A[0, -2] = 1
A.attach_grad()
with mx.autograd.record():
B = npx.nonzero(A)
assert B.shape == (2, 2)
assert B[0, 0] == 0 and B[0, 1] == 1
assert B[1, 0] == 0 and B[1, 1] == int(INT_OVERFLOW - 2)
B.backward()
assert A.grad.shape == (2, INT_OVERFLOW)
assert A.grad[0][0] == 0
def forward(self, x):
dat = npx.nonzero(x)
return dat.sum() + dat
