def test_less():
l = sym.Variable("l")
r = sym.Variable("r")
y = sym.less(l, r)
def forward(l, r):
return np.less(l, r).astype("float32")
def backward(head_grads, l, r):
return {'l': np.zeros_like(l)}
shape = {'l': (3, 4, 5), 'r': (3, 4, 5)}
check_function(y, forward, backward, shape=shape)
def test_less():
l = sym.Variable("l")
r = sym.Variable("r")
y = sym.less(l, r)
def forward(l, r):
return np.less(l, r).astype("float32")
def backward(head_grads, l, r):
return {'l': np.zeros_like(l)}
shape = {'l': (3, 4, 5), 'r': (3, 4, 5)}
check_function(y, forward, backward, shape=shape)
def test_less():
l = sym.Variable("l")
r = sym.Variable("r")
y = sym.less(l, r)
def forward(l, r):
return np.less(l, r).astype("float32")
def backward(head_grads, l, r):
return [np.zeros_like(l)]
dtype = "float32"
inputs = [('l', (3, 4, 5), l), ('r', (3, 4, 5), r)]
helper(y, inputs, dtype, forward, backward, need_head_grads=False)
