def test_toposort():
g0 = Graph()
g0.output = Constant(1)
g1 = Graph()
in0 = Constant(g0)
value = Apply([in0], g1)
g1.output = value
order = list(toposort(g1.return_))
_check_toposort(order, g1.return_, succ_incoming)
def test_toposort2():
g0 = Graph()
g0.output = Constant(33)
g1 = Graph()
in0 = Constant(g0)
in1 = Constant(1)
v1 = Apply([in0, in1], g1)
v2 = Apply([in0, v1, in1], g1)
g1.output = v2
order = list(toposort(g1.return_))
_check_toposort(order, g1.return_, succ_incoming)
def test_print_graph():
g = Graph()
g.debug.name = "testfn"
p = g.add_parameter()
p.debug.name = "a"
p2 = g.add_parameter()
p2.debug.name = "b"
c = g.constant(1)
g.output = g.apply(g, c, p2)
g.output.debug.name = "_apply0"
s = print_graph(g)
assert (s == """graph testfn(%a, %b) {
%_apply0 = @testfn(1, %b)
return %_apply0
}
""")
# We use fake types here because we only care about the printing logic,
# not the proper use of types.
p.abstract = "int64"
p2.abstract = "float32"
g.output.abstract = "bool"
g.return_.abstract = "bool"
s = print_graph(g)
assert (s == """graph testfn(%a : int64, %b : float32) -> bool {
%_apply0 = @testfn(1, %b) ; type=bool
return %_apply0
}
""")
def test_clone_dangling_parameters():
g = Graph()
g.output = Parameter(g)
g2 = clone(g)
assert isinstance(g2.output, Parameter)
assert g2.output.graph == g2
assert len(g2.parameters) == 0
async def bad(info, x):
badg = Graph()
badg.debug.name = 'badg'
p = badg.add_parameter()
p.debug.name = 'parameter'
badg.output = badg.apply(P.scalar_add, p, p)
# The return value of the macro can't directly refer to badg.output
# because that node can only be accessed from the scope of a call to
# badg. The error raised by Myia should reflect this.
return info.graph.apply(P.transpose, badg.output)
def test_print_node():
g = Graph()
g.debug.name = "testfn"
p = g.add_parameter()
p.debug.name = "a"
p2 = g.add_parameter()
p2.debug.name = "b"
c = g.constant(1)
g.output = g.apply(g, c, p2)
g.output.debug.name = "_apply0"
s = print_node(g.output)
assert s == "%_apply0 = @testfn(1, %b)\n"
def test_print_graph():
g = Graph()
g.debug.name = 'testfn'
p = g.add_parameter()
p.debug.name = 'a'
p2 = g.add_parameter()
p2.debug.name = 'b'
c = g.constant(1)
g.output = g.apply(g, c, p2)
g.output.debug.name = '_apply0'
s = print_graph(g)
assert s == """graph testfn(%a, %b) {
def test_print_closure():
g = Graph()
g.debug.name = "testfn"
p = g.add_parameter()
p.debug.name = "a"
n = g.apply("make_tuple", p, p)
n.debug.name = "_apply0"
g2 = Graph()
g2.debug.name = "sub"
n2 = g2.apply("tuple_getitem", n, 0)
n2.debug.name = "_apply1"
g2.output = n2
g.output = g.apply(g2)
s = print_graph(g2)
assert (s == """graph sub() {
%_apply1 = tuple_getitem(%_apply0, 0)
return %_apply1
}
""")
s = print_node(n2)
assert s == "%_apply1 = tuple_getitem(%_apply0, 0)\n"
def test_print_cycle():
g = Graph()
g.debug.name = "testfn"
p = g.add_parameter()
p.debug.name = "a"
p2 = g.add_parameter()
p2.debug.name = "b"
node = g.apply("make_tuple", p)
node2 = g.apply("make_tuple", p2, node)
node.inputs.append(node2)
g.output = node2
with pytest.raises(ValueError, match="cycle"):
print_graph(g, allow_cycles=False)
print_graph(g)
def test_print_graph():
g = Graph()
g.debug.name = "testfn"
p = g.add_parameter()
p.debug.name = "a"
p2 = g.add_parameter()
p2.debug.name = "b"
c = g.constant(1)
g.output = g.apply(g, c, p2)
g.output.debug.name = "_apply0"
s = print_graph(g)
assert (s == """graph testfn(%a, %b) {
%_apply0 = @testfn(1, %b)
return %_apply0
}
""")
def _graph_for_inline():
target = Graph()
target.debug.name = 'target'
target.output = THREE
return target
def test_exception():
e2 = dumpload(Exception("this is bad"))
assert e2.message == "Exception: this is bad\n"
assert repr(e2) == 'LoadedException'
g = Graph()
p1 = g.add_parameter()
p1.abstract = to_abstract_test(2)
p2 = g.add_parameter()
p2.abstract = to_abstract_test(2)
mid = g.apply(scalar_add, p1, p2)
mid.abstract = to_abstract_test(4)
c = Constant(1)
c.abstract = to_abstract_test(1)
g.output = g.apply(scalar_add, mid, c)
g.output.abstract = to_abstract_test(5)
g.return_.abstract = to_abstract_test(5)
g.return_.inputs[0].abstract = None
@parametrize('node', [
p1,
c,
mid,
])
def test_anfnode(node):
node2 = dumpload(node)
assert type(node) is type(node2)
assert len(node.inputs) == len(node2.inputs)
# more inputs assert?
