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test_util.py", line 2397, in _assertArrayLikeAllClose
np.testing.assert_allclose(
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/numpy/testing/_private/utils.py", line 1532, in assert_allclose
assert_array_compare(compare, actual, desired, err_msg=str(err_msg),
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/numpy/testing/_private/utils.py", line 846, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Not equal to tolerance rtol=1e-06, atol=1e-06
Mismatched value: a is different from b.
not close where = (array([0, 0, 1, 1]), array([0, 1, 0, 1]))
not close lhs = [0.8718173 0.14334908 0.14334908 1.03472706]
not close rhs = [0.87206082 0.14346052 0.14346052 1.03333925]
not close dif = [0.00024352 0.00011144 0.00011144 0.00138781]
not close tol = [1.87206082e-06 1.14346052e-06 1.14346052e-06 2.03333925e-06]
dtype = float64, shape = (2, 2)
Mismatched elements: 4 / 4 (100%)
Max absolute difference: 0.00138781
Max relative difference: 0.00134303
x: array([[0.871817, 0.143349],
[0.143349, 1.034727]])
y: array([[0.872061, 0.143461],
[0.143461, 1.033339]])
In the test case test_sparse_inputs_act=relu_kernel=nngp (__main__.StaxTest) test_sparse_inputs_act=relu_kernel=nngp (__main__.StaxTest) test_sparse_inputs_act=relu_kernel=nngp(act='relu', kernel='nngp')
test_utils.py", line 155, in assertAllClose
return super().assertAllClose(
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/framework/test_util.py", line 1220, in decorated
return f(*args, **kwds)
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/framework/test_util.py", line 2609, in assertAllClose
self._assertAllCloseRecursive(a, b, rtol=rtol, atol=atol, msg=msg)
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/framework/test_util.py", line 2563, in _assertAllCloseRecursive
self._assertArrayLikeAllClose(
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/framework/test_util.py", line 2503, in _assertArrayLikeAllClose
np.testing.assert_allclose(
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/numpy/testing/_private/utils.py", line 1532, in assert_allclose
assert_array_compare(compare, actual, desired, err_msg=str(err_msg),
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/numpy/testing/_private/utils.py", line 846, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Not equal to tolerance rtol=1e-06, atol=1e-06
Mismatched value: a is different from b.
not close where = (array([0, 0, 1, 1]), array([0, 1, 0, 1]))
not close lhs = [0.43590865 0.14724569 0.14724569 0.51736353]
not close rhs = [0.43553051 0.14626149 0.14626149 0.51598772]
not close dif = [0.00037814 0.0009842 0.0009842 0.00137581]
not close tol = [1.43553051e-06 1.14626149e-06 1.14626149e-06 1.51598772e-06]
dtype = float64, shape = (2, 2)
Mismatched elements: 4 / 4 (100%)
Max absolute difference: 0.00137581
Max relative difference: 0.00672904
x: array([[0.435909, 0.147246],
[0.147246, 0.517364]])
y: array([[0.435531, 0.146261],
[0.146261, 0.515988]])
The text was updated successfully, but these errors were encountered:
As titled.
In the test case
test_sparse_inputs_act=relu_kernel=nngp (__main__.StaxTest) test_sparse_inputs_act=relu_kernel=nngp (__main__.StaxTest) test_sparse_inputs_act=relu_kernel=nngp(act='relu', kernel='nngp')
The text was updated successfully, but these errors were encountered: