提交 200107f9 authored 作者: Pierre Luc Carrier's avatar Pierre Luc Carrier

Pep8 unrelated to failing tests

上级 9853b560
...@@ -3995,14 +3995,14 @@ class T_Scan(unittest.TestCase): ...@@ -3995,14 +3995,14 @@ class T_Scan(unittest.TestCase):
def _scan_strict(x, w_ns): def _scan_strict(x, w_ns):
return tensor.dot(x, w_ns) return tensor.dot(x, w_ns)
ret_loose = theano.scan(_scan_loose, ret_loose = theano.scan(_scan_loose,
sequences=[], sequences=[],
outputs_info=[x0_], outputs_info=[x0_],
n_steps=n, n_steps=n,
strict=False) strict=False)
f_loose = theano.function([x0_], ret_loose[0][-1]) f_loose = theano.function([x0_], ret_loose[0][-1])
ret_strict = theano.scan(_scan_strict, ret_strict = theano.scan(_scan_strict,
sequences=[], sequences=[],
outputs_info=[x0_], outputs_info=[x0_],
non_sequences=[w_], non_sequences=[w_],
...@@ -4029,7 +4029,7 @@ class T_Scan(unittest.TestCase): ...@@ -4029,7 +4029,7 @@ class T_Scan(unittest.TestCase):
def _scan_loose(x): def _scan_loose(x):
return tensor.dot(x, w_) return tensor.dot(x, w_)
ret_strict = theano.scan(_scan_loose, ret_strict = theano.scan(_scan_loose,
sequences=[], sequences=[],
outputs_info=[x0_], outputs_info=[x0_],
n_steps=n, n_steps=n,
......
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