pep8 check

This commit is contained in:
Eren Golge
2018-04-03 03:24:57 -07:00
parent b4a4377875
commit a9eadd1b8a
23 changed files with 198 additions and 228 deletions
+9 -8
View File
@@ -20,7 +20,7 @@ class PrenetTests(unittest.TestCase):
class CBHGTests(unittest.TestCase):
def test_in_out(self):
layer = CBHG(128, K= 6, projections=[128, 128], num_highways=2)
layer = CBHG(128, K=6, projections=[128, 128], num_highways=2)
dummy_input = T.autograd.Variable(T.rand(4, 8, 128))
print(layer)
@@ -38,11 +38,11 @@ class DecoderTests(unittest.TestCase):
dummy_memory = T.autograd.Variable(T.rand(4, 2, 80))
output, alignment = layer(dummy_input, dummy_memory)
assert output.shape[0] == 4
assert output.shape[1] == 1, "size not {}".format(output.shape[1])
assert output.shape[2] == 80 * 2, "size not {}".format(output.shape[2])
class EncoderTests(unittest.TestCase):
@@ -56,10 +56,10 @@ class EncoderTests(unittest.TestCase):
assert output.shape[0] == 4
assert output.shape[1] == 8
assert output.shape[2] == 256 # 128 * 2 BiRNN
class L1LossMaskedTests(unittest.TestCase):
def test_in_out(self):
layer = L1LossMasked()
dummy_input = T.autograd.Variable(T.ones(4, 8, 128).float())
@@ -69,7 +69,7 @@ class L1LossMaskedTests(unittest.TestCase):
assert output.shape[0] == 0
assert len(output.shape) == 1
assert output.data[0] == 0.0
dummy_input = T.autograd.Variable(T.ones(4, 8, 128).float())
dummy_target = T.autograd.Variable(T.zeros(4, 8, 128).float())
dummy_length = T.autograd.Variable((T.ones(4) * 8).long())
@@ -78,7 +78,8 @@ class L1LossMaskedTests(unittest.TestCase):
dummy_input = T.autograd.Variable(T.ones(4, 8, 128).float())
dummy_target = T.autograd.Variable(T.zeros(4, 8, 128).float())
dummy_length = T.autograd.Variable((T.arange(5,9)).long())
mask = ((_sequence_mask(dummy_length).float() - 1.0) * 100.0).unsqueeze(2)
dummy_length = T.autograd.Variable((T.arange(5, 9)).long())
mask = ((_sequence_mask(dummy_length).float() - 1.0)
* 100.0).unsqueeze(2)
output = layer(dummy_input + mask, dummy_target, dummy_length)
assert output.data[0] == 1.0, "1.0 vs {}".format(output.data[0])