Merge branch 'master' into 2.0rc/breakingChanges

For checkin
microsoft · Mar 28, 2017 · 0ee09cf · 0ee09cf
2 parents 567d1c0 + 7a297b3
commit 0ee09cf
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Showing 2 changed files with 18 additions and 16 deletions.
diff --git a/Tests/EndToEndTests/CNTKv2Python/Tutorials/CNTK_206A_Basic_GAN_test.py b/Tests/EndToEndTests/CNTKv2Python/Tutorials/CNTK_206A_Basic_GAN_test.py
@@ -16,12 +16,14 @@ def test_cntk_206A_basic_gan_noErrors(nb):
               for output in cell['outputs'] if output.output_type == "error"]
     assert errors == []
 
-expectedEvalErrorByDeviceId = { -1: 2.0, 0: 2.05 }
-expectedEvalErrorAtolByDeviceId = { -1: 0.45, 0: 0.3 }
+# TODO: Enable the test once the results can be deterministically determined
+# expectedEvalErrorByDeviceId = { -1: 5.0, 0: 5.0 }
 
-def test_cntk_206A_basic_gan_evalCorrect(nb, device_id):
-    testCell = [cell for cell in nb.cells
-                if cell.cell_type == 'code' and re.search('# Print the generator loss', cell.source)]
-    assert len(testCell) == 1
-    m = re.match(r"Training loss of the generator is: (?P<actualEvalError>\d+\.\d+)\r?$", testCell[0].outputs[0]['text'])
-    assert np.isclose(float(m.group('actualEvalError')), expectedEvalErrorByDeviceId[device_id], atol=expectedEvalErrorAtolByDeviceId[device_id])
+#def test_cntk_206A_basic_gan_evalCorrect(nb, device_id):
+#    testCell = [cell for cell in nb.cells
+#                if cell.cell_type == 'code' and re.search('# Print the generator loss', cell.source)]
+#    assert len(testCell) == 1
+#    m = re.match(r"Training loss of the generator is: (?P<actualEvalError>\d+\.\d+)\r?$", testCell[0].outputs[0]['text'])
+
+#    assert (float(m.group('actualEvalError')) > expectedEvalErrorByDeviceId[device_id]) 
+
diff --git a/Tests/EndToEndTests/CNTKv2Python/Tutorials/CNTK_206B_DCGAN_test.py b/Tests/EndToEndTests/CNTKv2Python/Tutorials/CNTK_206B_DCGAN_test.py
@@ -18,12 +18,12 @@ def test_cntk_206B_dcgan_noErrors(nb):
               for output in cell['outputs'] if output.output_type == "error"]
     assert errors == []
 
-expectedEvalError = 2.05
-expectedEvalErrorAtol = 0.45
+# TODO: Enable the test once the results can be deterministically determined    
+# expectedEvalError = 5.00
 
-def test_cntk_206B_dcgan_evalCorrect(nb):
-    testCell = [cell for cell in nb.cells
-                if cell.cell_type == 'code' and re.search('# Print the generator loss', cell.source)]
-    assert len(testCell) == 1
-    m = re.match(r"Training loss of the generator is: (?P<actualEvalError>\d+\.\d+)\r?$", testCell[0].outputs[0]['text'])
-    assert np.isclose(float(m.group('actualEvalError')), expectedEvalError, atol=expectedEvalErrorAtol)
+#def test_cntk_206B_dcgan_evalCorrect(nb):
+#    testCell = [cell for cell in nb.cells
+#                if cell.cell_type == 'code' and re.search('# Print the generator loss', cell.source)]
+#    assert len(testCell) == 1
+#    m = re.match(r"Training loss of the generator is: (?P<actualEvalError>\d+\.\d+)\r?$", testCell[0].outputs[0]['text'])
+#    assert (float(m.group('actualEvalError')) > expectedEvalError)