def _build_outputs(self) -> List[DataPlaceholder]:
port = len(self._nodes)
outputs = []
for i in range(self._n_outputs):
name = make_name(make_name(self._name, port, sep=":"), i)
outputs.append(DataPlaceholder(self, port, name))
return outputs
def test_repr():
class DummyStep(Step):
def somefunc(self, X):
pass
step = DummyStep(name="some-step", function="somefunc")
data_placeholder = DataPlaceholder(step=step, name="some-step/0")
expected_repr = ("DataPlaceholder(step=DummyStep(name='some-step', "
"function='somefunc', n_outputs=1, trainable=True), "
"name='some-step/0')")
assert expected_repr == repr(data_placeholder)
def __init__(self, name=None):
super().__init__(name=name, n_outputs=1)
self._nodes = [
Node(
self,
[],
[DataPlaceholder(self, 0, self._name)],
[],
None,
None,
None,
False,
)
]
def __init__(self, name=None):
super().__init__(name=name, n_outputs=1)
self._inputs = []
self._outputs = [DataPlaceholder(self, self._name)]
self._targets = []
self.trainable = False
def _build_outputs(self) -> List[DataPlaceholder]:
outputs = []
for i in range(self._n_outputs):
name = make_name(self._name, i)
outputs.append(DataPlaceholder(self, name))
return outputs