API tools faq
paste
Guest User

Untitled

a guest
Feb 19th, 2018
130
0
Never
Add comment
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 17.40 KB | None | 0 0
raw download clone embed print report
  1. 14:55:15 =================================== FAILURES ===================================
  2. 14:55:15 ___________________ TestMatmulLarge_param_5.test_cupy_matmul ___________________
  3. 14:55:15 cupy/testing/parameterized.py:58: in wrap
  4. 14:55:15 six.raise_from(e_new.with_traceback(e.__traceback__), None)
  5. 14:55:15 cupy/testing/parameterized.py:43: in wrap
  6. 14:55:15 return method(*args, **kwargs)
  7. 14:55:15 cupy/testing/helper.py:513: in test_func
  8. 14:55:15 impl(self, *args, **kw)
  9. 14:55:15 cupy/testing/helper.py:513: in test_func
  10. 14:55:15 impl(self, *args, **kw)
  11. 14:55:15 cupy/testing/helper.py:131: in test_func
  12. 14:55:15 check_func(cupy_result, numpy_result)
  13. 14:55:15 cupy/testing/helper.py:189: in check_func
  14. 14:55:15 array.assert_allclose(c, n, rtol, atol, err_msg, verbose)
  15. 14:55:15 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  16. 14:55:15
  17. 14:55:15 actual = array([[[[ 1.10000000e+001, 1.40000000e+001, 1.70000000e+001,
  18. 14:55:15 2.00000000e+001],
  19. 14:55:15 [ 2.3000000... 0.00000000e+000],
  20. 14:55:15 [ 0.00000000e+000, 0.00000000e+000, 0.00000000e+000,
  21. 14:55:15 0.00000000e+000]]]])
  22. 14:55:15 desired = array([[[[ 1.10000000e+01, 1.40000000e+01, 1.70000000e+01,
  23. 14:55:15 2.00000000e+01],
  24. 14:55:15 [ 2.30000000e+0... 1.30920000e+04],
  25. 14:55:15 [ 1.38670000e+04, 1.39260000e+04, 1.39850000e+04,
  26. 14:55:15 1.40440000e+04]]]])
  27. 14:55:15 rtol = 0.001, atol = 0.001, err_msg = '', verbose = True
  28. 14:55:15
  29. 14:55:15 def assert_allclose(actual, desired, rtol=1e-7, atol=0, err_msg='',
  30. 14:55:15 verbose=True):
  31. 14:55:15 """Raises an AssertionError if objects are not equal up to desired tolerance.
  32. 14:55:15
  33. 14:55:15 Args:
  34. 14:55:15 actual(numpy.ndarray or cupy.ndarray): The actual object to check.
  35. 14:55:15 desired(numpy.ndarray or cupy.ndarray): The desired, expected object.
  36. 14:55:15 rtol(float): Relative tolerance.
  37. 14:55:15 atol(float): Absolute tolerance.
  38. 14:55:15 err_msg(str): The error message to be printed in case of failure.
  39. 14:55:15 verbose(bool): If ``True``, the conflicting
  40. 14:55:15 values are appended to the error message.
  41. 14:55:15
  42. 14:55:15 .. seealso:: :func:`numpy.testing.assert_allclose`
  43. 14:55:15
  44. 14:55:15 """
  45. 14:55:15 numpy.testing.assert_allclose(
  46. 14:55:15 cupy.asnumpy(actual), cupy.asnumpy(desired),
  47. 14:55:15 > rtol=rtol, atol=atol, err_msg=err_msg, verbose=verbose)
  48. 14:55:15 E AssertionError: Parameterized test failed.
  49. 14:55:15 E
  50. 14:55:15 E Base test method: TestMatmulLarge.test_cupy_matmul
  51. 14:55:15 E Test parameters:
  52. 14:55:15 E shape_pair: ((1, 5, 3, 2), (6, 5, 2, 4))
  53. 14:55:15 E
  54. 14:55:15 E AssertionError:
  55. 14:55:15 E Not equal to tolerance rtol=0.001, atol=0.001
  56. 14:55:15 E
  57. 14:55:15 E (mismatch 83.33333333333333%)
  58. 14:55:15 E x: array([[[[ 1.100000e+001, 1.400000e+001, 1.700000e+001,
  59. 14:55:15 E 2.000000e+001],
  60. 14:55:15 E [ 2.300000e+001, 3.000000e+001, 3.700000e+001,...
  61. 14:55:15 E y: array([[[[ 1.100000e+01, 1.400000e+01, 1.700000e+01, 2.000000e+01],
  62. 14:55:15 E [ 2.300000e+01, 3.000000e+01, 3.700000e+01, 4.400000e+01],
  63. 14:55:15 E [ 3.500000e+01, 4.600000e+01, 5.700000e+01, 6.800000e+01]],...
  64. 14:55:15
  65. 14:55:15 actual = array([[[[ 1.10000000e+001, 1.40000000e+001, 1.70000000e+001,
  66. 14:55:15 2.00000000e+001],
  67. 14:55:15 [ 2.3000000... 0.00000000e+000],
  68. 14:55:15 [ 0.00000000e+000, 0.00000000e+000, 0.00000000e+000,
  69. 14:55:15 0.00000000e+000]]]])
  70. 14:55:15 atol = 0.001
  71. 14:55:15 desired = array([[[[ 1.10000000e+01, 1.40000000e+01, 1.70000000e+01,
  72. 14:55:15 2.00000000e+01],
  73. 14:55:15 [ 2.30000000e+0... 1.30920000e+04],
  74. 14:55:15 [ 1.38670000e+04, 1.39260000e+04, 1.39850000e+04,
  75. 14:55:15 1.40440000e+04]]]])
  76. 14:55:15 err_msg = ''
  77. 14:55:15 rtol = 0.001
  78. 14:55:15 verbose = True
  79. 14:55:15
  80. 14:55:15 cupy/testing/array.py:26: AssertionError
  81. 14:55:15 ----------------------------- Captured stdout call -----------------------------
  82. 14:55:15 dtype2 is <class 'numpy.float64'>
  83. 14:55:15 dtype1 is <class 'numpy.float64'>
  84. 14:55:15 ___________________ TestMatmulLarge_param_2.test_cupy_matmul ___________________
  85. 14:55:15 cupy/testing/parameterized.py:58: in wrap
  86. 14:55:15 six.raise_from(e_new.with_traceback(e.__traceback__), None)
  87. 14:55:15 cupy/testing/parameterized.py:43: in wrap
  88. 14:55:15 return method(*args, **kwargs)
  89. 14:55:15 cupy/testing/helper.py:513: in test_func
  90. 14:55:15 impl(self, *args, **kw)
  91. 14:55:15 cupy/testing/helper.py:513: in test_func
  92. 14:55:15 impl(self, *args, **kw)
  93. 14:55:15 cupy/testing/helper.py:131: in test_func
  94. 14:55:15 check_func(cupy_result, numpy_result)
  95. 14:55:15 cupy/testing/helper.py:189: in check_func
  96. 14:55:15 array.assert_allclose(c, n, rtol, atol, err_msg, verbose)
  97. 14:55:15 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  98. 14:55:15
  99. 14:55:15 actual = array([[[[ 1.10000000e+001, 1.40000000e+001, 1.70000000e+001,
  100. 14:55:15 2.00000000e+001],
  101. 14:55:15 [ 2.3000000... 1.21464257e-302],
  102. 14:55:15 [ 7.67663191e-303, 9.21177829e-303, 1.07469247e-302,
  103. 14:55:15 1.22831585e-302]]]])
  104. 14:55:15 desired = array([[[[ 1.10000000e+01, 1.40000000e+01, 1.70000000e+01,
  105. 14:55:15 2.00000000e+01],
  106. 14:55:15 [ 2.30000000e+0... 1.34920000e+04],
  107. 14:55:15 [ 1.25670000e+04, 1.29260000e+04, 1.32850000e+04,
  108. 14:55:15 1.36440000e+04]]]])
  109. 14:55:15 rtol = 0.001, atol = 0.001, err_msg = '', verbose = True
  110. 14:55:15
  111. 14:55:15 def assert_allclose(actual, desired, rtol=1e-7, atol=0, err_msg='',
  112. 14:55:15 verbose=True):
  113. 14:55:15 """Raises an AssertionError if objects are not equal up to desired tolerance.
  114. 14:55:15
  115. 14:55:15 Args:
  116. 14:55:15 actual(numpy.ndarray or cupy.ndarray): The actual object to check.
  117. 14:55:15 desired(numpy.ndarray or cupy.ndarray): The desired, expected object.
  118. 14:55:15 rtol(float): Relative tolerance.
  119. 14:55:15 atol(float): Absolute tolerance.
  120. 14:55:15 err_msg(str): The error message to be printed in case of failure.
  121. 14:55:15 verbose(bool): If ``True``, the conflicting
  122. 14:55:15 values are appended to the error message.
  123. 14:55:15
  124. 14:55:15 .. seealso:: :func:`numpy.testing.assert_allclose`
  125. 14:55:15
  126. 14:55:15 """
  127. 14:55:15 numpy.testing.assert_allclose(
  128. 14:55:15 cupy.asnumpy(actual), cupy.asnumpy(desired),
  129. 14:55:15 > rtol=rtol, atol=atol, err_msg=err_msg, verbose=verbose)
  130. 14:55:15 E AssertionError: Parameterized test failed.
  131. 14:55:15 E
  132. 14:55:15 E Base test method: TestMatmulLarge.test_cupy_matmul
  133. 14:55:15 E Test parameters:
  134. 14:55:15 E shape_pair: ((6, 5, 3, 2), (1, 5, 2, 4))
  135. 14:55:15 E
  136. 14:55:15 E AssertionError:
  137. 14:55:15 E Not equal to tolerance rtol=0.001, atol=0.001
  138. 14:55:15 E
  139. 14:55:15 E (mismatch 83.33333333333333%)
  140. 14:55:15 E x: array([[[[ 1.100000e+001, 1.400000e+001, 1.700000e+001,
  141. 14:55:15 E 2.000000e+001],
  142. 14:55:15 E [ 2.300000e+001, 3.000000e+001, 3.700000e+001,...
  143. 14:55:15 E y: array([[[[ 1.100000e+01, 1.400000e+01, 1.700000e+01, 2.000000e+01],
  144. 14:55:15 E [ 2.300000e+01, 3.000000e+01, 3.700000e+01, 4.400000e+01],
  145. 14:55:15 E [ 3.500000e+01, 4.600000e+01, 5.700000e+01, 6.800000e+01]],...
  146. 14:55:15
  147. 14:55:15 actual = array([[[[ 1.10000000e+001, 1.40000000e+001, 1.70000000e+001,
  148. 14:55:15 2.00000000e+001],
  149. 14:55:15 [ 2.3000000... 1.21464257e-302],
  150. 14:55:15 [ 7.67663191e-303, 9.21177829e-303, 1.07469247e-302,
  151. 14:55:15 1.22831585e-302]]]])
  152. 14:55:15 atol = 0.001
  153. 14:55:15 desired = array([[[[ 1.10000000e+01, 1.40000000e+01, 1.70000000e+01,
  154. 14:55:15 2.00000000e+01],
  155. 14:55:15 [ 2.30000000e+0... 1.34920000e+04],
  156. 14:55:15 [ 1.25670000e+04, 1.29260000e+04, 1.32850000e+04,
  157. 14:55:15 1.36440000e+04]]]])
  158. 14:55:15 err_msg = ''
  159. 14:55:15 rtol = 0.001
  160. 14:55:15 verbose = True
  161. 14:55:15
  162. 14:55:15 cupy/testing/array.py:26: AssertionError
  163. 14:55:15 ----------------------------- Captured stdout call -----------------------------
  164. 14:55:16 dtype2 is <class 'numpy.float64'>
  165. 14:55:16 dtype1 is <class 'numpy.float64'>
  166. 14:55:16 ___________________ TestMatmulLarge_param_4.test_cupy_matmul ___________________
  167. 14:55:16 cupy/testing/parameterized.py:58: in wrap
  168. 14:55:16 six.raise_from(e_new.with_traceback(e.__traceback__), None)
  169. 14:55:16 cupy/testing/parameterized.py:43: in wrap
  170. 14:55:16 return method(*args, **kwargs)
  171. 14:55:16 cupy/testing/helper.py:513: in test_func
  172. 14:55:16 impl(self, *args, **kw)
  173. 14:55:16 cupy/testing/helper.py:513: in test_func
  174. 14:55:16 impl(self, *args, **kw)
  175. 14:55:16 cupy/testing/helper.py:131: in test_func
  176. 14:55:16 check_func(cupy_result, numpy_result)
  177. 14:55:16 cupy/testing/helper.py:189: in check_func
  178. 14:55:16 array.assert_allclose(c, n, rtol, atol, err_msg, verbose)
  179. 14:55:16 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  180. 14:55:16
  181. 14:55:16 actual = array([[[[ 11., 14., 17., 20.],
  182. 14:55:16 [ 23., 30., 37., 44.],
  183. 14:55:16 [ 35., 46., 57....707., 710., 713., 716.],
  184. 14:55:16 [ 1647., 1654., 1661., 1668.],
  185. 14:55:16 [ 2587., 2598., 2609., 2620.]]]])
  186. 14:55:16 desired = array([[[[ 1.10000000e+01, 1.40000000e+01, 1.70000000e+01,
  187. 14:55:16 2.00000000e+01],
  188. 14:55:16 [ 2.30000000e+0... 1.59480000e+04],
  189. 14:55:16 [ 1.66870000e+04, 1.67580000e+04, 1.68290000e+04,
  190. 14:55:16 1.69000000e+04]]]])
  191. 14:55:16 rtol = 0.001, atol = 0.001, err_msg = '', verbose = True
  192. 14:55:16
  193. 14:55:16 def assert_allclose(actual, desired, rtol=1e-7, atol=0, err_msg='',
  194. 14:55:16 verbose=True):
  195. 14:55:16 """Raises an AssertionError if objects are not equal up to desired tolerance.
  196. 14:55:16
  197. 14:55:16 Args:
  198. 14:55:16 actual(numpy.ndarray or cupy.ndarray): The actual object to check.
  199. 14:55:16 desired(numpy.ndarray or cupy.ndarray): The desired, expected object.
  200. 14:55:16 rtol(float): Relative tolerance.
  201. 14:55:16 atol(float): Absolute tolerance.
  202. 14:55:16 err_msg(str): The error message to be printed in case of failure.
  203. 14:55:16 verbose(bool): If ``True``, the conflicting
  204. 14:55:16 values are appended to the error message.
  205. 14:55:16
  206. 14:55:16 .. seealso:: :func:`numpy.testing.assert_allclose`
  207. 14:55:16
  208. 14:55:16 """
  209. 14:55:16 numpy.testing.assert_allclose(
  210. 14:55:16 cupy.asnumpy(actual), cupy.asnumpy(desired),
  211. 14:55:16 > rtol=rtol, atol=atol, err_msg=err_msg, verbose=verbose)
  212. 14:55:16 E AssertionError: Parameterized test failed.
  213. 14:55:16 E
  214. 14:55:16 E Base test method: TestMatmulLarge.test_cupy_matmul
  215. 14:55:16 E Test parameters:
  216. 14:55:16 E shape_pair: ((6, 1, 3, 2), (6, 5, 2, 4))
  217. 14:55:16 E
  218. 14:55:16 E AssertionError:
  219. 14:55:16 E Not equal to tolerance rtol=0.001, atol=0.001
  220. 14:55:16 E
  221. 14:55:16 E (mismatch 83.33333333333333%)
  222. 14:55:16 E x: array([[[[ 11., 14., 17., 20.],
  223. 14:55:16 E [ 23., 30., 37., 44.],
  224. 14:55:16 E [ 35., 46., 57., 68.]],...
  225. 14:55:16 E y: array([[[[ 1.100000e+01, 1.400000e+01, 1.700000e+01, 2.000000e+01],
  226. 14:55:16 E [ 2.300000e+01, 3.000000e+01, 3.700000e+01, 4.400000e+01],
  227. 14:55:16 E [ 3.500000e+01, 4.600000e+01, 5.700000e+01, 6.800000e+01]],...
  228. 14:55:16
  229. 14:55:16 actual = array([[[[ 11., 14., 17., 20.],
  230. 14:55:16 [ 23., 30., 37., 44.],
  231. 14:55:16 [ 35., 46., 57....707., 710., 713., 716.],
  232. 14:55:16 [ 1647., 1654., 1661., 1668.],
  233. 14:55:16 [ 2587., 2598., 2609., 2620.]]]])
  234. 14:55:16 atol = 0.001
  235. 14:55:16 desired = array([[[[ 1.10000000e+01, 1.40000000e+01, 1.70000000e+01,
  236. 14:55:16 2.00000000e+01],
  237. 14:55:16 [ 2.30000000e+0... 1.59480000e+04],
  238. 14:55:16 [ 1.66870000e+04, 1.67580000e+04, 1.68290000e+04,
  239. 14:55:16 1.69000000e+04]]]])
  240. 14:55:16 err_msg = ''
  241. 14:55:16 rtol = 0.001
  242. 14:55:16 verbose = True
  243. 14:55:16
  244. 14:55:16 cupy/testing/array.py:26: AssertionError
  245. 14:55:16 ----------------------------- Captured stdout call -----------------------------
  246. 14:55:16 dtype2 is <class 'numpy.float64'>
  247. 14:55:16 dtype1 is <class 'numpy.float64'>
  248. 14:55:16 ___________________ TestMatmulLarge_param_1.test_cupy_matmul ___________________
  249. 14:55:16 cupy/testing/parameterized.py:58: in wrap
  250. 14:55:16 six.raise_from(e_new.with_traceback(e.__traceback__), None)
  251. 14:55:16 cupy/testing/parameterized.py:43: in wrap
  252. 14:55:16 return method(*args, **kwargs)
  253. 14:55:16 cupy/testing/helper.py:513: in test_func
  254. 14:55:16 impl(self, *args, **kw)
  255. 14:55:16 cupy/testing/helper.py:513: in test_func
  256. 14:55:16 impl(self, *args, **kw)
  257. 14:55:16 cupy/testing/helper.py:131: in test_func
  258. 14:55:16 check_func(cupy_result, numpy_result)
  259. 14:55:16 cupy/testing/helper.py:189: in check_func
  260. 14:55:16 array.assert_allclose(c, n, rtol, atol, err_msg, verbose)
  261. 14:55:16 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  262. 14:55:16
  263. 14:55:16 actual = array([[[[ 11., 14., 17., 20.],
  264. 14:55:16 [ 23., 30., 37., 44.],
  265. 14:55:16 [ 35., 46., 57....055., 1406., 1757., 2108.],
  266. 14:55:16 [ 1067., 1422., 1777., 2132.],
  267. 14:55:16 [ 1079., 1438., 1797., 2156.]]]])
  268. 14:55:16 desired = array([[[[ 1.10000000e+01, 1.40000000e+01, 1.70000000e+01,
  269. 14:55:16 2.00000000e+01],
  270. 14:55:16 [ 2.30000000e+0... 1.63320000e+04],
  271. 14:55:16 [ 1.54390000e+04, 1.57980000e+04, 1.61570000e+04,
  272. 14:55:16 1.65160000e+04]]]])
  273. 14:55:16 rtol = 0.001, atol = 0.001, err_msg = '', verbose = True
  274. 14:55:16
  275. 14:55:16 def assert_allclose(actual, desired, rtol=1e-7, atol=0, err_msg='',
  276. 14:55:16 verbose=True):
  277. 14:55:16 """Raises an AssertionError if objects are not equal up to desired tolerance.
  278. 14:55:16
  279. 14:55:16 Args:
  280. 14:55:16 actual(numpy.ndarray or cupy.ndarray): The actual object to check.
  281. 14:55:16 desired(numpy.ndarray or cupy.ndarray): The desired, expected object.
  282. 14:55:16 rtol(float): Relative tolerance.
  283. 14:55:16 atol(float): Absolute tolerance.
  284. 14:55:16 err_msg(str): The error message to be printed in case of failure.
  285. 14:55:16 verbose(bool): If ``True``, the conflicting
  286. 14:55:16 values are appended to the error message.
  287. 14:55:16
  288. 14:55:16 .. seealso:: :func:`numpy.testing.assert_allclose`
  289. 14:55:16
  290. 14:55:16 """
  291. 14:55:16 numpy.testing.assert_allclose(
  292. 14:55:16 cupy.asnumpy(actual), cupy.asnumpy(desired),
  293. 14:55:16 > rtol=rtol, atol=atol, err_msg=err_msg, verbose=verbose)
  294. 14:55:16 E AssertionError: Parameterized test failed.
  295. 14:55:16 E
  296. 14:55:16 E Base test method: TestMatmulLarge.test_cupy_matmul
  297. 14:55:16 E Test parameters:
  298. 14:55:16 E shape_pair: ((6, 5, 3, 2), (6, 1, 2, 4))
  299. 14:55:16 E
  300. 14:55:16 E AssertionError:
  301. 14:55:16 E Not equal to tolerance rtol=0.001, atol=0.001
  302. 14:55:16 E
  303. 14:55:16 E (mismatch 83.33333333333333%)
  304. 14:55:16 E x: array([[[[ 11., 14., 17., 20.],
  305. 14:55:16 E [ 23., 30., 37., 44.],
  306. 14:55:16 E [ 35., 46., 57., 68.]],...
  307. 14:55:16 E y: array([[[[ 1.100000e+01, 1.400000e+01, 1.700000e+01, 2.000000e+01],
  308. 14:55:16 E [ 2.300000e+01, 3.000000e+01, 3.700000e+01, 4.400000e+01],
  309. 14:55:16 E [ 3.500000e+01, 4.600000e+01, 5.700000e+01, 6.800000e+01]],...
  310. 14:55:16
  311. 14:55:16 actual = array([[[[ 11., 14., 17., 20.],
  312. 14:55:16 [ 23., 30., 37., 44.],
  313. 14:55:16 [ 35., 46., 57....055., 1406., 1757., 2108.],
  314. 14:55:16 [ 1067., 1422., 1777., 2132.],
  315. 14:55:16 [ 1079., 1438., 1797., 2156.]]]])
  316. 14:55:16 atol = 0.001
  317. 14:55:16 desired = array([[[[ 1.10000000e+01, 1.40000000e+01, 1.70000000e+01,
  318. 14:55:16 2.00000000e+01],
  319. 14:55:16 [ 2.30000000e+0... 1.63320000e+04],
  320. 14:55:16 [ 1.54390000e+04, 1.57980000e+04, 1.61570000e+04,
  321. 14:55:16 1.65160000e+04]]]])
  322. 14:55:16 err_msg = ''
  323. 14:55:16 rtol = 0.001
  324. 14:55:16 verbose = True
  325. 14:55:16
  326. 14:55:16 cupy/testing/array.py:26: AssertionError
  327. 14:55:16 ----------------------------- Captured stdout call -----------------------------
  328. 14:55:16 dtype2 is <class 'numpy.float64'>
  329. 14:55:16 dtype1 is <class 'numpy.float64'>
  330. 14:55:16 ============================= 13 tests deselected ==============================
Add Comment
Please, Sign In to add comment
Public Pastes
We use cookies for various purposes including analytics. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy.  OK, I Understand
Not a member of Pastebin yet?
Sign Up, it unlocks many cool features!