提交 af03d648 authored 作者: Frederic Bastien's avatar Frederic Bastien

auto white space/indent fix.

上级 25b84b75
...@@ -64,7 +64,7 @@ class multiple_outputs_numeric_grad: ...@@ -64,7 +64,7 @@ class multiple_outputs_numeric_grad:
# something else ( a random state ? ) with which we shouldn't really # something else ( a random state ? ) with which we shouldn't really
# mess up # mess up
if not ndarray_mask: if not ndarray_mask:
ndarray_mask = [True for x in pt ] ndarray_mask = [True for x in pt ]
dtype_eps = multiple_outputs_numeric_grad.type_eps['float64'] dtype_eps = multiple_outputs_numeric_grad.type_eps['float64']
...@@ -74,7 +74,7 @@ class multiple_outputs_numeric_grad: ...@@ -74,7 +74,7 @@ class multiple_outputs_numeric_grad:
_eps = multiple_outputs_numeric_grad.type_eps[str( _eps = multiple_outputs_numeric_grad.type_eps[str(
pt[i].dtype)] pt[i].dtype)]
if _eps > dtype_eps: if _eps > dtype_eps:
dtype_eps = _eps dtype_eps = _eps
self.ndarray_mask = ndarray_mask self.ndarray_mask = ndarray_mask
#''' #'''
...@@ -1626,7 +1626,7 @@ class T_Scan(unittest.TestCase): ...@@ -1626,7 +1626,7 @@ class T_Scan(unittest.TestCase):
f1 = theano.tensor.dscalar('f1') f1 = theano.tensor.dscalar('f1')
def scanStep(prev, seq, f1): def scanStep(prev, seq, f1):
return prev + f1 * seq return prev + f1 * seq
scanned, _ = theano.scan(fn = scanStep, \ scanned, _ = theano.scan(fn = scanStep, \
sequences = [seq], \ sequences = [seq], \
...@@ -1709,8 +1709,8 @@ class T_Scan(unittest.TestCase): ...@@ -1709,8 +1709,8 @@ class T_Scan(unittest.TestCase):
inpt = tensor.matrix('inpt') inpt = tensor.matrix('inpt')
def one_step(x_t, h_tm1, W): def one_step(x_t, h_tm1, W):
expr = T.dot(h_tm1, W) + x_t expr = tensor.dot(h_tm1, W) + x_t
return expr return expr
expr, _ = theano.scan( expr, _ = theano.scan(
fn=one_step, fn=one_step,
......
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