提交 4bd08e34 编写于 作者: W weixing02

make test_layers right

上级 57c09329
...@@ -3031,7 +3031,7 @@ def hsigmoid(input, label, num_classes=2, param_attr=None, bias_attr=None): ...@@ -3031,7 +3031,7 @@ def hsigmoid(input, label, num_classes=2, param_attr=None, bias_attr=None):
raise ValueError("num_classes must be lager or equal than 2.") raise ValueError("num_classes must be lager or equal than 2.")
if input.shape[0] != label.shape[1]: if input.shape[0] != label.shape[1]:
raise ValueError( raise ValueError(
"input's 1-st dimension and label's 2-nd dimension must be equal they both equal to batch size." "input's 1-st dimension and label's 2-nd dimension must be equal, they both equal to batch size."
) )
weights = helper.create_parameter( weights = helper.create_parameter(
attr=helper.param_attr, attr=helper.param_attr,
......
...@@ -177,7 +177,7 @@ class TestBook(unittest.TestCase): ...@@ -177,7 +177,7 @@ class TestBook(unittest.TestCase):
program = Program() program = Program()
with program_guard(program): with program_guard(program):
x = layers.data(name='x', shape=[2, 2], dtype='float32') x = layers.data(name='x', shape=[2, 2], dtype='float32')
y = layers.data(name='y', shape=[1, 3], dtype='int64') y = layers.data(name='y', shape=[1, 2], dtype='int64')
self.assertIsNotNone( self.assertIsNotNone(
layers.hsigmoid( layers.hsigmoid(
input=x, label=y, num_classes=2)) input=x, label=y, num_classes=2))
......
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