address review feedback, iteration 2

Tests/EndToEndTests/CNTKv2Python/Examples/CNTK_106B_LSTM_Timeseries_with_IOT_Data_test.py

@@ -10,18 +10,18 @@ import numpy as np
 
 abs_path = os.path.dirname(os.path.abspath(__file__))
 notebook = os.path.join(abs_path, "..", "..", "..", "..", "Tutorials", "CNTK_106B_LSTM_Timeseries_with_IOT_Data.ipynb")
-notebook_timeoutSeconds = 200
+notebook_timeoutSeconds = 450
 
 def test_cntk_106B_lstm_timeseries_with_iot_data_noErrors(nb):
     errors = [output for cell in nb.cells if 'outputs' in cell
               for output in cell['outputs'] if output.output_type == "error"]
     assert errors == []
 
-expectedEvalErrorByDeviceId = { -1: 0.000085, 0: 0.000085 }
+expectedEvalErrorByDeviceId = { -1: 0.000076, 0: 0.000076 }
 
 def test_cntk_106B_lstm_timeseries_with_iot_data_evalCorrect(nb, device_id):
     testCell = [cell for cell in nb.cells
                 if cell.cell_type == 'code' and re.search('# Print the test error', cell.source)]
     assert len(testCell) == 1
     m = re.match(r"mse for test: (?P<actualEvalError>\d+\.\d+)\r?$", testCell[0].outputs[0]['text'])
-    assert np.isclose(float(m.group('actualEvalError')), expectedEvalErrorByDeviceId[device_id], atol=0.00001)
+    assert np.isclose(float(m.group('actualEvalError')), expectedEvalErrorByDeviceId[device_id], atol=0.00002)