def test_subtensor(mode):
items = [[0, True, True, True, False], [1, False, False, False, True]]
data = [Tensor(np.random.random((5, 5))), Tensor(np.random.random(2))]
if mode == "get":
op = builtin.Subtensor(items)
data = data[:1]
if mode == "set":
op = builtin.SetSubtensor(items)
if mode == "inc":
op = builtin.IncrSubtensor(items)
tensors = [Tensor(0), Tensor(4), Tensor(2), Tensor(3)]
@trace(symbolic=True, capture_as_const=True)
def fwd(*tensors):
return apply(op, *tensors)[0]
result = fwd(*data, *tensors)
check_pygraph_dump(fwd, data + tensors, [result])
def incr_subtensor(input, value, tuple_val):
input, tensors, items = unpack_getitem(input, tuple_val)
op = builtin.IncrSubtensor(items)
return invoke_op(op, (input, value, *tensors))