def test_dump_volatile(): p = tensor([2]) @trace(symbolic=True, capture_as_const=True) def f(x): return x * p x = tensor([3]) y = f(x).numpy() for i in range(3): np.testing.assert_equal(f(x).numpy(), y) file = io.BytesIO() f.dump(file, optimize_for_inference=False) file.seek(0) cg, _, outputs = G.load_graph(file) (out, ) = outputs assert (cgtools.get_owner_opr_type( cgtools.get_owner_opr_inputs(out)[1]) == "ImmutableTensor")
def test_dump_volatile(): p = as_raw_tensor([2]) @trace(symbolic=True, capture_as_const=True) def f(x): op = ops.Elemwise(Elemwise.Mode.MUL) (y, ) = apply(op, x, p) return y x = as_raw_tensor([3]).numpy() y = f.__wrapped__(as_raw_tensor(x)).numpy() for i in range(3): np.testing.assert_equal(f(as_raw_tensor(x)).numpy(), y) file = io.BytesIO() f.dump(file, optimize_for_inference=False) file.seek(0) cg, _, outputs = G.load_graph(file) (out, ) = outputs assert (cgtools.get_owner_opr_type( cgtools.get_owner_opr_inputs(out)[1]) == "ImmutableTensor")