提交 e62ee2c1 authored 作者: Olivier Delalleau's avatar Olivier Delalleau

Fixed names of some tests

上级 02df8067
......@@ -214,6 +214,8 @@ def makeTester(name, op, expected, checks=None, good=None, bad_build=None,
test_memmap = _test_memmap
def setUp(self):
# Verify that the test's name is correctly set.
assert eval(self.__class__.__name__) is self.__class__
# If test_memmap is True, we create a temporary file
# containing a copy of the data passed in the "good" dict,
# then open it as a memmapped array, and use the result as a
......@@ -1110,13 +1112,13 @@ if theano.config.floatX == 'float32':
else:
angle_eps = 1e-10
Deg2RadTester = makeBroadcastTester(
Deg2radTester = makeBroadcastTester(
op=tensor.deg2rad,
expected=numpy.deg2rad,
good=_good_broadcast_unary_normal_no_complex,
grad=_grad_broadcast_unary_normal_no_complex,
eps=angle_eps)
Deg2RadInplaceTester = makeBroadcastTester(
Deg2radInplaceTester = makeBroadcastTester(
op=inplace.deg2rad_inplace,
expected=numpy.deg2rad,
good=_good_broadcast_unary_normal_no_complex,
......@@ -1124,13 +1126,13 @@ Deg2RadInplaceTester = makeBroadcastTester(
inplace=True,
eps=angle_eps)
Rad2DegTester = makeBroadcastTester(
Rad2degTester = makeBroadcastTester(
op=tensor.rad2deg,
expected=numpy.rad2deg,
good=_good_broadcast_unary_normal_no_complex,
grad=_grad_broadcast_unary_normal_no_complex,
eps=angle_eps)
Rad2DegInplaceTester = makeBroadcastTester(
Rad2degInplaceTester = makeBroadcastTester(
op=inplace.rad2deg_inplace,
expected=numpy.rad2deg,
good=_good_broadcast_unary_normal_no_complex,
......@@ -1154,11 +1156,11 @@ _good_broadcast_unary_arcsin = dict(normal=(rand_ranged(-1, 1, (2, 3)),),
empty=(numpy.asarray([]),),)
_grad_broadcast_unary_arcsin = dict(normal=(rand_ranged(-1, 1, (2, 3)),),)
ArcSinTester = makeBroadcastTester(op=tensor.arcsin,
ArcsinTester = makeBroadcastTester(op=tensor.arcsin,
expected=numpy.arcsin,
good=_good_broadcast_unary_arcsin,
grad=_grad_broadcast_unary_arcsin)
ArcSinInplaceTester = makeBroadcastTester(op=inplace.arcsin_inplace,
ArcsinInplaceTester = makeBroadcastTester(op=inplace.arcsin_inplace,
expected=numpy.arcsin,
good=_good_broadcast_unary_arcsin,
grad=_grad_broadcast_unary_arcsin,
......@@ -1174,11 +1176,11 @@ CosInplaceTester = makeBroadcastTester(op=inplace.cos_inplace,
grad=_grad_broadcast_unary_wide,
inplace=True)
ArcCosTester = makeBroadcastTester(op=tensor.arccos,
ArccosTester = makeBroadcastTester(op=tensor.arccos,
expected=numpy.arccos,
good=_good_broadcast_unary_arcsin,
grad=_grad_broadcast_unary_arcsin)
ArcCosInplaceTester = makeBroadcastTester(op=inplace.arccos_inplace,
ArccosInplaceTester = makeBroadcastTester(op=inplace.arccos_inplace,
expected=numpy.arccos,
good=_good_broadcast_unary_arcsin,
grad=_grad_broadcast_unary_arcsin,
......@@ -1211,12 +1213,12 @@ TanInplaceTester = makeBroadcastTester(op=inplace.tan_inplace,
grad_rtol=tan_grad_rtol,
inplace=True)
ArcTanTester = makeBroadcastTester(op=tensor.arctan,
ArctanTester = makeBroadcastTester(op=tensor.arctan,
expected=numpy.arctan,
good=_good_broadcast_unary_wide,
grad=_grad_broadcast_unary_wide,
grad_rtol=tan_grad_rtol)
ArcTanInplaceTester = makeBroadcastTester(op=inplace.arctan_inplace,
ArctanInplaceTester = makeBroadcastTester(op=inplace.arctan_inplace,
expected=numpy.arctan,
good=_good_broadcast_unary_wide,
grad=_grad_broadcast_unary_wide,
......@@ -1242,12 +1244,12 @@ _grad_broadcast_binary_arctan2 = dict(
column=(rand(2, 3), rand(2, 1)),
)
ArcTan2Tester = makeBroadcastTester(op=tensor.arctan2,
Arctan2Tester = makeBroadcastTester(op=tensor.arctan2,
expected=numpy.arctan2,
good=_good_broadcast_binary_arctan2,
grad=_grad_broadcast_binary_arctan2,
grad_rtol=tan_grad_rtol)
ArcTan2InplaceTester = makeBroadcastTester(op=inplace.arctan2_inplace,
Arctan2InplaceTester = makeBroadcastTester(op=inplace.arctan2_inplace,
expected=numpy.arctan2,
good=_good_broadcast_binary_arctan2,
grad=_grad_broadcast_binary_arctan2,
......@@ -1271,11 +1273,11 @@ _good_broadcast_unary_arccosh = dict(
empty=(numpy.asarray([]),),)
_grad_broadcast_unary_arccosh = dict(normal=(rand_ranged(1, 1000, (2, 3)),),)
ArcCoshTester = makeBroadcastTester(op=tensor.arccosh,
ArccoshTester = makeBroadcastTester(op=tensor.arccosh,
expected=numpy.arccosh,
good=_good_broadcast_unary_arccosh,
grad=_grad_broadcast_unary_arccosh)
ArcCoshInplaceTester = makeBroadcastTester(op=inplace.arccosh_inplace,
ArccoshInplaceTester = makeBroadcastTester(op=inplace.arccosh_inplace,
expected=numpy.arccosh,
good=_good_broadcast_unary_arccosh,
grad=_grad_broadcast_unary_arccosh,
......@@ -1291,11 +1293,11 @@ SinhInplaceTester = makeBroadcastTester(op=inplace.sinh_inplace,
grad=_grad_broadcast_unary_normal,
inplace=True)
ArcSinhTester = makeBroadcastTester(op=tensor.arcsinh,
ArcsinhTester = makeBroadcastTester(op=tensor.arcsinh,
expected=numpy.arcsinh,
good=_good_broadcast_unary_normal,
grad=_grad_broadcast_unary_normal)
ArcSinhInplaceTester = makeBroadcastTester(op=inplace.arcsinh_inplace,
ArcsinhInplaceTester = makeBroadcastTester(op=inplace.arcsinh_inplace,
expected=numpy.arcsinh,
good=_good_broadcast_unary_normal,
grad=_grad_broadcast_unary_normal,
......@@ -1320,11 +1322,11 @@ _good_broadcast_unary_arctanh = dict(
_grad_broadcast_unary_arctanh = dict(
normal=(rand_ranged(-1 + _eps, 1 - _eps, (2, 3)),),)
ArcTanhTester = makeBroadcastTester(op=tensor.arctanh,
ArctanhTester = makeBroadcastTester(op=tensor.arctanh,
expected=numpy.arctanh,
good=_good_broadcast_unary_arctanh,
grad=_grad_broadcast_unary_arctanh)
ArcTanhInplaceTester = makeBroadcastTester(op=inplace.arctanh_inplace,
ArctanhInplaceTester = makeBroadcastTester(op=inplace.arctanh_inplace,
expected=numpy.arctanh,
good=_good_broadcast_unary_arctanh,
grad=_grad_broadcast_unary_arctanh,
......@@ -1416,7 +1418,7 @@ GammaInplaceTester = makeBroadcastTester(
inplace=True,
skip=skip_scipy)
GammaLnTester = makeBroadcastTester(
GammalnTester = makeBroadcastTester(
op=tensor.gammaln,
expected=expected_gammaln,
good=_good_broadcast_unary_gammaln,
......@@ -1424,7 +1426,7 @@ GammaLnTester = makeBroadcastTester(
eps=2e-10,
mode=mode_no_scipy,
skip=skip_scipy)
GammaLnInplaceTester = makeBroadcastTester(
GammalnInplaceTester = makeBroadcastTester(
op=inplace.gammaln_inplace,
expected=expected_gammaln,
good=_good_broadcast_unary_gammaln,
......
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