text: -- This SQL code was generated by sklearn2sql (development version).
  -- Copyright 2018
  
  -- Model : KerasClassifier_LSTM
  -- Dataset : iris_str_tgt
  -- Database : mssql
  
  
  -- This SQL code can contain one or more statements, to be executed in the order they appear in this file.
  
  
  
  -- Model deployment code
  
  WITH keras_input AS 
  (SELECT [ADS].[KEY] AS [KEY], [ADS].[Feature_0] AS [Feature_0], [ADS].[Feature_1] AS [Feature_1], [ADS].[Feature_2] AS [Feature_2], [ADS].[Feature_3] AS [Feature_3] 
  FROM iris_str_tgt AS [ADS]), 
  keras_input_1 AS 
  (SELECT keras_input.[KEY] AS [KEY], keras_input.[Feature_0] AS [Feature_0], keras_input.[Feature_1] AS [Feature_1], keras_input.[Feature_2] AS [Feature_2], keras_input.[Feature_3] AS [Feature_3] 
  FROM keras_input), 
  keras_input_1_rn AS 
  (SELECT row_number() OVER (ORDER BY keras_input_1.[KEY] ASC) AS rn, keras_input_1.[KEY] AS [KEY], keras_input_1.[Feature_0] AS [Feature_0], keras_input_1.[Feature_1] AS [Feature_1], keras_input_1.[Feature_2] AS [Feature_2], keras_input_1.[Feature_3] AS [Feature_3] 
  FROM keras_input_1), 
  lstm_input_kernel_bias AS 
  (SELECT keras_input_1_rn.rn AS rn, keras_input_1_rn.[KEY] AS [KEY], keras_input_1_rn.[Feature_0] AS [Feature_0], keras_input_1_rn.[Feature_1] AS [Feature_1], keras_input_1_rn.[Feature_2] AS [Feature_2], keras_input_1_rn.[Feature_3] AS [Feature_3], 0.0 + -0.07977186227617139 * keras_input_1_rn.[Feature_0] + 0.06407865802912294 * keras_input_1_rn.[Feature_1] + -0.054359132956321665 * keras_input_1_rn.[Feature_2] + -0.012854597867053785 * keras_input_1_rn.[Feature_3] AS dot_prod_i_1, 0.0 + 0.44783934898548305 * keras_input_1_rn.[Feature_0] + 0.4857470596700777 * keras_input_1_rn.[Feature_1] + 0.2177566704947801 * keras_input_1_rn.[Feature_2] + -0.05338620029492036 * keras_input_1_rn.[Feature_3] AS dot_prod_i_2, 0.0 + -0.378834269310854 * keras_input_1_rn.[Feature_0] + -0.5947360746917778 * keras_input_1_rn.[Feature_1] + -0.44771291896500787 * keras_input_1_rn.[Feature_2] + 0.012224205431599855 * keras_input_1_rn.[Feature_3] AS dot_prod_i_3, 1.0 + -0.2283105461114897 * keras_input_1_rn.[Feature_0] + -0.22062014088424453 * keras_input_1_rn.[Feature_1] + 0.6022551430623415 * keras_input_1_rn.[Feature_2] + -0.3393095033599692 * keras_input_1_rn.[Feature_3] AS dot_prod_f_1, 1.0 + -0.44480107780780753 * keras_input_1_rn.[Feature_0] + -0.2908629892559031 * keras_input_1_rn.[Feature_1] + -0.552333678280358 * keras_input_1_rn.[Feature_2] + -0.5478213958305708 * keras_input_1_rn.[Feature_3] AS dot_prod_f_2, 1.0 + 0.26367587964017847 * keras_input_1_rn.[Feature_0] + 0.15784326417919892 * keras_input_1_rn.[Feature_1] + 0.45037319692407674 * keras_input_1_rn.[Feature_2] + 0.2589452412257085 * keras_input_1_rn.[Feature_3] AS dot_prod_f_3, 0.0 + 0.3051190675499984 * keras_input_1_rn.[Feature_0] + 0.15301114991127307 * keras_input_1_rn.[Feature_1] + 0.04281484124344892 * keras_input_1_rn.[Feature_2] + 0.5718754278691192 * keras_input_1_rn.[Feature_3] AS dot_prod_c_1, 0.0 + -0.08248246089466438 * keras_input_1_rn.[Feature_0] + 0.6050381152715105 * keras_input_1_rn.[Feature_1] + 0.5573442244755313 * keras_input_1_rn.[Feature_2] + -0.12951711237504243 * keras_input_1_rn.[Feature_3] AS dot_prod_c_2, 0.0 + -0.4846040888531703 * keras_input_1_rn.[Feature_0] + -0.5235510035996684 * keras_input_1_rn.[Feature_1] + 0.26900032613124025 * keras_input_1_rn.[Feature_2] + -0.4825366546619857 * keras_input_1_rn.[Feature_3] AS dot_prod_c_3, 0.0 + 0.10090713818814001 * keras_input_1_rn.[Feature_0] + -0.3135517847005039 * keras_input_1_rn.[Feature_1] + -0.30838936457159694 * keras_input_1_rn.[Feature_2] + 0.1494208550049828 * keras_input_1_rn.[Feature_3] AS dot_prod_o_1, 0.0 + -0.5614391043503655 * keras_input_1_rn.[Feature_0] + 0.1970986226502205 * keras_input_1_rn.[Feature_1] + -0.11747589830010613 * keras_input_1_rn.[Feature_2] + -0.5820726942311354 * keras_input_1_rn.[Feature_3] AS dot_prod_o_2, 0.0 + -0.21797837907769524 * keras_input_1_rn.[Feature_0] + -0.16337893967151507 * keras_input_1_rn.[Feature_1] + 0.06636456179235906 * keras_input_1_rn.[Feature_2] + 0.6014305994906037 * keras_input_1_rn.[Feature_3] AS dot_prod_o_3 
  FROM keras_input_1_rn), 
  rnn_cte_lstm_1(rn_1, [KEY], [PreviousState_1], [PreviousState_2], [PreviousState_3], [PreviousState_4], [PreviousState_5], [PreviousState_6], [State_1], [State_2], [State_3], [State_4], [State_5], [State_6]) AS 
  (SELECT lstm_input_kernel_bias.rn AS rn_1, lstm_input_kernel_bias.[KEY] AS [KEY], CAST(0.0 AS FLOAT(53)) AS [PreviousState_1], CAST(0.0 AS FLOAT(53)) AS [PreviousState_2], CAST(0.0 AS FLOAT(53)) AS [PreviousState_3], CAST(0.0 AS FLOAT(53)) AS [PreviousState_4], CAST(0.0 AS FLOAT(53)) AS [PreviousState_5], CAST(0.0 AS FLOAT(53)) AS [PreviousState_6], CASE WHEN (lstm_input_kernel_bias.dot_prod_o_1 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_o_1 + 0.0 END * ((exp(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_1 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_1 + 0.0 END * ((exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.0) - exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.0))) / (exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.0) + exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.0)))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_1 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_1 + 0.0 END * 0.0) - exp(-(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_1 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_1 + 0.0 END * ((exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.0) - exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.0))) / (exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.0) + exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.0)))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_1 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_1 + 0.0 END * 0.0))) / (exp(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_1 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_1 + 0.0 END * ((exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.0) - exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.0))) / (exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.0) + exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.0)))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_1 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_1 + 0.0 END * 0.0) + exp(-(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_1 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_1 + 0.0 END * ((exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.0) - exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.0))) / (exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.0) + exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.0)))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_1 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_1 + 0.0 END * 0.0)))) AS [State_1], CASE WHEN (lstm_input_kernel_bias.dot_prod_o_2 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_o_2 + 0.0 END * ((exp(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_2 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_2 + 0.0 END * ((exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.0) - exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.0))) / (exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.0) + exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.0)))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_2 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_2 + 0.0 END * 0.0) - exp(-(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_2 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_2 + 0.0 END * ((exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.0) - exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.0))) / (exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.0) + exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.0)))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_2 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_2 + 0.0 END * 0.0))) / (exp(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_2 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_2 + 0.0 END * ((exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.0) - exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.0))) / (exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.0) + exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.0)))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_2 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_2 + 0.0 END * 0.0) + exp(-(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_2 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_2 + 0.0 END * ((exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.0) - exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.0))) / (exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.0) + exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.0)))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_2 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_2 + 0.0 END * 0.0)))) AS [State_2], CASE WHEN (lstm_input_kernel_bias.dot_prod_o_3 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_o_3 + 0.0 END * ((exp(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_3 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_3 + 0.0 END * ((exp(lstm_input_kernel_bias.dot_prod_c_3 + 0.0) - exp(-(lstm_input_kernel_bias.dot_prod_c_3 + 0.0))) / (exp(lstm_input_kernel_bias.dot_prod_c_3 + 0.0) + exp(-(lstm_input_kernel_bias.dot_prod_c_3 + 0.0)))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_3 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_3 + 0.0 END * 0.0) - exp(-(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_3 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_3 + 0.0 END * ((exp(lstm_input_kernel_bias.dot_prod_c_3 + 0.0) - exp(-(lstm_input_kernel_bias.dot_prod_c_3 + 0.0))) / (exp(lstm_input_kernel_bias.dot_prod_c_3 + 0.0) + exp(-(lstm_input_kernel_bias.dot_prod_c_3 + 0.0)))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_3 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_3 + 0.0 END * 0.0))) / (exp(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_3 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_3 + 0.0 END * ((exp(lstm_input_kernel_bias.dot_prod_c_3 + 0.0) - exp(-(lstm_input_kernel_bias.dot_prod_c_3 + 0.0))) / (exp(lstm_input_kernel_bias.dot_prod_c_3 + 0.0) + exp(-(lstm_input_kernel_bias.dot_prod_c_3 + 0.0)))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_3 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_3 + 0.0 END * 0.0) + exp(-(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_3 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_3 + 0.0 END * ((exp(lstm_input_kernel_bias.dot_prod_c_3 + 0.0) - exp(-(lstm_input_kernel_bias.dot_prod_c_3 + 0.0))) / (exp(lstm_input_kernel_bias.dot_prod_c_3 + 0.0) + exp(-(lstm_input_kernel_bias.dot_prod_c_3 + 0.0)))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_3 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_3 + 0.0 END * 0.0)))) AS [State_3], CASE WHEN (lstm_input_kernel_bias.dot_prod_i_1 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_1 + 0.0 END * ((exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.0) - exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.0))) / (exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.0) + exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.0)))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_1 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_1 + 0.0 END * 0.0 AS [State_4], CASE WHEN (lstm_input_kernel_bias.dot_prod_i_2 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_2 + 0.0 END * ((exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.0) - exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.0))) / (exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.0) + exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.0)))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_2 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_2 + 0.0 END * 0.0 AS [State_5], CASE WHEN (lstm_input_kernel_bias.dot_prod_i_3 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_3 + 0.0 END * ((exp(lstm_input_kernel_bias.dot_prod_c_3 + 0.0) - exp(-(lstm_input_kernel_bias.dot_prod_c_3 + 0.0))) / (exp(lstm_input_kernel_bias.dot_prod_c_3 + 0.0) + exp(-(lstm_input_kernel_bias.dot_prod_c_3 + 0.0)))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_3 + 0.0 <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_3 + 0.0 END * 0.0 AS [State_6] 
  FROM lstm_input_kernel_bias 
  WHERE lstm_input_kernel_bias.rn = 1 UNION ALL SELECT lstm_input_kernel_bias.rn AS rn, lstm_input_kernel_bias.[KEY] AS [KEY], rnn_cte_lstm_1.[State_1] AS [PreviousState_1], rnn_cte_lstm_1.[State_2] AS [PreviousState_2], rnn_cte_lstm_1.[State_3] AS [PreviousState_3], rnn_cte_lstm_1.[State_4] AS [PreviousState_4], rnn_cte_lstm_1.[State_5] AS [PreviousState_5], rnn_cte_lstm_1.[State_6] AS [PreviousState_6], CASE WHEN (lstm_input_kernel_bias.dot_prod_o_1 + -0.15164751198979584 * rnn_cte_lstm_1.[State_1] + 0.08253020083536827 * rnn_cte_lstm_1.[State_2] + -0.08763056336675054 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_o_1 + -0.15164751198979584 * rnn_cte_lstm_1.[State_1] + 0.08253020083536827 * rnn_cte_lstm_1.[State_2] + -0.08763056336675054 * rnn_cte_lstm_1.[State_3] END * ((exp(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_1 + 0.11780271360136857 * rnn_cte_lstm_1.[State_1] + 0.2487056155077179 * rnn_cte_lstm_1.[State_2] + -0.09242046264251788 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_1 + 0.11780271360136857 * rnn_cte_lstm_1.[State_1] + 0.2487056155077179 * rnn_cte_lstm_1.[State_2] + -0.09242046264251788 * rnn_cte_lstm_1.[State_3] END * ((exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3]) - exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3]))) / (exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3]) + exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3])))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_1 + -0.4168294149364666 * rnn_cte_lstm_1.[State_1] + 0.1545536618879541 * rnn_cte_lstm_1.[State_2] + -0.024703716341743575 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_1 + -0.4168294149364666 * rnn_cte_lstm_1.[State_1] + 0.1545536618879541 * rnn_cte_lstm_1.[State_2] + -0.024703716341743575 * rnn_cte_lstm_1.[State_3] END * rnn_cte_lstm_1.[State_4]) - exp(-(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_1 + 0.11780271360136857 * rnn_cte_lstm_1.[State_1] + 0.2487056155077179 * rnn_cte_lstm_1.[State_2] + -0.09242046264251788 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_1 + 0.11780271360136857 * rnn_cte_lstm_1.[State_1] + 0.2487056155077179 * rnn_cte_lstm_1.[State_2] + -0.09242046264251788 * rnn_cte_lstm_1.[State_3] END * ((exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3]) - exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3]))) / (exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3]) + exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3])))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_1 + -0.4168294149364666 * rnn_cte_lstm_1.[State_1] + 0.1545536618879541 * rnn_cte_lstm_1.[State_2] + -0.024703716341743575 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_1 + -0.4168294149364666 * rnn_cte_lstm_1.[State_1] + 0.1545536618879541 * rnn_cte_lstm_1.[State_2] + -0.024703716341743575 * rnn_cte_lstm_1.[State_3] END * rnn_cte_lstm_1.[State_4]))) / (exp(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_1 + 0.11780271360136857 * rnn_cte_lstm_1.[State_1] + 0.2487056155077179 * rnn_cte_lstm_1.[State_2] + -0.09242046264251788 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_1 + 0.11780271360136857 * rnn_cte_lstm_1.[State_1] + 0.2487056155077179 * rnn_cte_lstm_1.[State_2] + -0.09242046264251788 * rnn_cte_lstm_1.[State_3] END * ((exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3]) - exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3]))) / (exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3]) + exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3])))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_1 + -0.4168294149364666 * rnn_cte_lstm_1.[State_1] + 0.1545536618879541 * rnn_cte_lstm_1.[State_2] + -0.024703716341743575 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_1 + -0.4168294149364666 * rnn_cte_lstm_1.[State_1] + 0.1545536618879541 * rnn_cte_lstm_1.[State_2] + -0.024703716341743575 * rnn_cte_lstm_1.[State_3] END * rnn_cte_lstm_1.[State_4]) + exp(-(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_1 + 0.11780271360136857 * rnn_cte_lstm_1.[State_1] + 0.2487056155077179 * rnn_cte_lstm_1.[State_2] + -0.09242046264251788 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_1 + 0.11780271360136857 * rnn_cte_lstm_1.[State_1] + 0.2487056155077179 * rnn_cte_lstm_1.[State_2] + -0.09242046264251788 * rnn_cte_lstm_1.[State_3] END * ((exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3]) - exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3]))) / (exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3]) + exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3])))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_1 + -0.4168294149364666 * rnn_cte_lstm_1.[State_1] + 0.1545536618879541 * rnn_cte_lstm_1.[State_2] + -0.024703716341743575 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_1 + -0.4168294149364666 * rnn_cte_lstm_1.[State_1] + 0.1545536618879541 * rnn_cte_lstm_1.[State_2] + -0.024703716341743575 * rnn_cte_lstm_1.[State_3] END * rnn_cte_lstm_1.[State_4])))) AS [State_1], CASE WHEN (lstm_input_kernel_bias.dot_prod_o_2 + 0.08662667743445306 * rnn_cte_lstm_1.[State_1] + 0.6291438223603882 * rnn_cte_lstm_1.[State_2] + -0.21097102613985744 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_o_2 + 0.08662667743445306 * rnn_cte_lstm_1.[State_1] + 0.6291438223603882 * rnn_cte_lstm_1.[State_2] + -0.21097102613985744 * rnn_cte_lstm_1.[State_3] END * ((exp(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_2 + -0.19559477723174404 * rnn_cte_lstm_1.[State_1] + -0.31837677772831285 * rnn_cte_lstm_1.[State_2] + -0.11491617670326393 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_2 + -0.19559477723174404 * rnn_cte_lstm_1.[State_1] + -0.31837677772831285 * rnn_cte_lstm_1.[State_2] + -0.11491617670326393 * rnn_cte_lstm_1.[State_3] END * ((exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3]) - exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3]))) / (exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3]) + exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3])))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_2 + 0.33552079367368043 * rnn_cte_lstm_1.[State_1] + -0.06965585875573488 * rnn_cte_lstm_1.[State_2] + 0.5835326918567338 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_2 + 0.33552079367368043 * rnn_cte_lstm_1.[State_1] + -0.06965585875573488 * rnn_cte_lstm_1.[State_2] + 0.5835326918567338 * rnn_cte_lstm_1.[State_3] END * rnn_cte_lstm_1.[State_5]) - exp(-(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_2 + -0.19559477723174404 * rnn_cte_lstm_1.[State_1] + -0.31837677772831285 * rnn_cte_lstm_1.[State_2] + -0.11491617670326393 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_2 + -0.19559477723174404 * rnn_cte_lstm_1.[State_1] + -0.31837677772831285 * rnn_cte_lstm_1.[State_2] + -0.11491617670326393 * rnn_cte_lstm_1.[State_3] END * ((exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3]) - exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3]))) / (exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3]) + exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3])))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_2 + 0.33552079367368043 * rnn_cte_lstm_1.[State_1] + -0.06965585875573488 * rnn_cte_lstm_1.[State_2] + 0.5835326918567338 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_2 + 0.33552079367368043 * rnn_cte_lstm_1.[State_1] + -0.06965585875573488 * rnn_cte_lstm_1.[State_2] + 0.5835326918567338 * rnn_cte_lstm_1.[State_3] END * rnn_cte_lstm_1.[State_5]))) / (exp(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_2 + -0.19559477723174404 * rnn_cte_lstm_1.[State_1] + -0.31837677772831285 * rnn_cte_lstm_1.[State_2] + -0.11491617670326393 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_2 + -0.19559477723174404 * rnn_cte_lstm_1.[State_1] + -0.31837677772831285 * rnn_cte_lstm_1.[State_2] + -0.11491617670326393 * rnn_cte_lstm_1.[State_3] END * ((exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3]) - exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3]))) / (exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3]) + exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3])))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_2 + 0.33552079367368043 * rnn_cte_lstm_1.[State_1] + -0.06965585875573488 * rnn_cte_lstm_1.[State_2] + 0.5835326918567338 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_2 + 0.33552079367368043 * rnn_cte_lstm_1.[State_1] + -0.06965585875573488 * rnn_cte_lstm_1.[State_2] + 0.5835326918567338 * rnn_cte_lstm_1.[State_3] END * rnn_cte_lstm_1.[State_5]) + exp(-(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_2 + -0.19559477723174404 * rnn_cte_lstm_1.[State_1] + -0.31837677772831285 * rnn_cte_lstm_1.[State_2] + -0.11491617670326393 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_2 + -0.19559477723174404 * rnn_cte_lstm_1.[State_1] + -0.31837677772831285 * rnn_cte_lstm_1.[State_2] + -0.11491617670326393 * rnn_cte_lstm_1.[State_3] END * ((exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3]) - exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3]))) / (exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3]) + exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3])))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_2 + 0.33552079367368043 * rnn_cte_lstm_1.[State_1] + -0.06965585875573488 * rnn_cte_lstm_1.[State_2] + 0.5835326918567338 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_2 + 0.33552079367368043 * rnn_cte_lstm_1.[State_1] + -0.06965585875573488 * rnn_cte_lstm_1.[State_2] + 0.5835326918567338 * rnn_cte_lstm_1.[State_3] END * rnn_cte_lstm_1.[State_5])))) AS [State_2], CASE WHEN (lstm_input_kernel_bias.dot_prod_o_3 + 0.6248732477230643 * rnn_cte_lstm_1.[State_1] + -0.3162233397893954 * rnn_cte_lstm_1.[State_2] + -0.47679471737944495 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_o_3 + 0.6248732477230643 * rnn_cte_lstm_1.[State_1] + -0.3162233397893954 * rnn_cte_lstm_1.[State_2] + -0.47679471737944495 * rnn_cte_lstm_1.[State_3] END * ((exp(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_3 + -0.08246075095429538 * rnn_cte_lstm_1.[State_1] + 0.28885285275698036 * rnn_cte_lstm_1.[State_2] + -0.19409292248622836 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_3 + -0.08246075095429538 * rnn_cte_lstm_1.[State_1] + 0.28885285275698036 * rnn_cte_lstm_1.[State_2] + -0.19409292248622836 * rnn_cte_lstm_1.[State_3] END * ((exp(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3]) - exp(-(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3]))) / (exp(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3]) + exp(-(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3])))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_3 + 0.4441732904955501 * rnn_cte_lstm_1.[State_1] + 0.22077978616056787 * rnn_cte_lstm_1.[State_2] + 0.041098765644672824 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_3 + 0.4441732904955501 * rnn_cte_lstm_1.[State_1] + 0.22077978616056787 * rnn_cte_lstm_1.[State_2] + 0.041098765644672824 * rnn_cte_lstm_1.[State_3] END * rnn_cte_lstm_1.[State_6]) - exp(-(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_3 + -0.08246075095429538 * rnn_cte_lstm_1.[State_1] + 0.28885285275698036 * rnn_cte_lstm_1.[State_2] + -0.19409292248622836 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_3 + -0.08246075095429538 * rnn_cte_lstm_1.[State_1] + 0.28885285275698036 * rnn_cte_lstm_1.[State_2] + -0.19409292248622836 * rnn_cte_lstm_1.[State_3] END * ((exp(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3]) - exp(-(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3]))) / (exp(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3]) + exp(-(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3])))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_3 + 0.4441732904955501 * rnn_cte_lstm_1.[State_1] + 0.22077978616056787 * rnn_cte_lstm_1.[State_2] + 0.041098765644672824 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_3 + 0.4441732904955501 * rnn_cte_lstm_1.[State_1] + 0.22077978616056787 * rnn_cte_lstm_1.[State_2] + 0.041098765644672824 * rnn_cte_lstm_1.[State_3] END * rnn_cte_lstm_1.[State_6]))) / (exp(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_3 + -0.08246075095429538 * rnn_cte_lstm_1.[State_1] + 0.28885285275698036 * rnn_cte_lstm_1.[State_2] + -0.19409292248622836 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_3 + -0.08246075095429538 * rnn_cte_lstm_1.[State_1] + 0.28885285275698036 * rnn_cte_lstm_1.[State_2] + -0.19409292248622836 * rnn_cte_lstm_1.[State_3] END * ((exp(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3]) - exp(-(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3]))) / (exp(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3]) + exp(-(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3])))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_3 + 0.4441732904955501 * rnn_cte_lstm_1.[State_1] + 0.22077978616056787 * rnn_cte_lstm_1.[State_2] + 0.041098765644672824 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_3 + 0.4441732904955501 * rnn_cte_lstm_1.[State_1] + 0.22077978616056787 * rnn_cte_lstm_1.[State_2] + 0.041098765644672824 * rnn_cte_lstm_1.[State_3] END * rnn_cte_lstm_1.[State_6]) + exp(-(CASE WHEN (lstm_input_kernel_bias.dot_prod_i_3 + -0.08246075095429538 * rnn_cte_lstm_1.[State_1] + 0.28885285275698036 * rnn_cte_lstm_1.[State_2] + -0.19409292248622836 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_3 + -0.08246075095429538 * rnn_cte_lstm_1.[State_1] + 0.28885285275698036 * rnn_cte_lstm_1.[State_2] + -0.19409292248622836 * rnn_cte_lstm_1.[State_3] END * ((exp(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3]) - exp(-(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3]))) / (exp(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3]) + exp(-(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3])))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_3 + 0.4441732904955501 * rnn_cte_lstm_1.[State_1] + 0.22077978616056787 * rnn_cte_lstm_1.[State_2] + 0.041098765644672824 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_3 + 0.4441732904955501 * rnn_cte_lstm_1.[State_1] + 0.22077978616056787 * rnn_cte_lstm_1.[State_2] + 0.041098765644672824 * rnn_cte_lstm_1.[State_3] END * rnn_cte_lstm_1.[State_6])))) AS [State_3], CASE WHEN (lstm_input_kernel_bias.dot_prod_i_1 + 0.11780271360136857 * rnn_cte_lstm_1.[State_1] + 0.2487056155077179 * rnn_cte_lstm_1.[State_2] + -0.09242046264251788 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_1 + 0.11780271360136857 * rnn_cte_lstm_1.[State_1] + 0.2487056155077179 * rnn_cte_lstm_1.[State_2] + -0.09242046264251788 * rnn_cte_lstm_1.[State_3] END * ((exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3]) - exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3]))) / (exp(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3]) + exp(-(lstm_input_kernel_bias.dot_prod_c_1 + 0.030292966530713852 * rnn_cte_lstm_1.[State_1] + -0.023239700724073803 * rnn_cte_lstm_1.[State_2] + 0.523162297866245 * rnn_cte_lstm_1.[State_3])))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_1 + -0.4168294149364666 * rnn_cte_lstm_1.[State_1] + 0.1545536618879541 * rnn_cte_lstm_1.[State_2] + -0.024703716341743575 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_1 + -0.4168294149364666 * rnn_cte_lstm_1.[State_1] + 0.1545536618879541 * rnn_cte_lstm_1.[State_2] + -0.024703716341743575 * rnn_cte_lstm_1.[State_3] END * rnn_cte_lstm_1.[State_4] AS [State_4], CASE WHEN (lstm_input_kernel_bias.dot_prod_i_2 + -0.19559477723174404 * rnn_cte_lstm_1.[State_1] + -0.31837677772831285 * rnn_cte_lstm_1.[State_2] + -0.11491617670326393 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_2 + -0.19559477723174404 * rnn_cte_lstm_1.[State_1] + -0.31837677772831285 * rnn_cte_lstm_1.[State_2] + -0.11491617670326393 * rnn_cte_lstm_1.[State_3] END * ((exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3]) - exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3]))) / (exp(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3]) + exp(-(lstm_input_kernel_bias.dot_prod_c_2 + 0.17448831523202973 * rnn_cte_lstm_1.[State_1] + 0.37700792218247725 * rnn_cte_lstm_1.[State_2] + 0.13475197118706184 * rnn_cte_lstm_1.[State_3])))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_2 + 0.33552079367368043 * rnn_cte_lstm_1.[State_1] + -0.06965585875573488 * rnn_cte_lstm_1.[State_2] + 0.5835326918567338 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_2 + 0.33552079367368043 * rnn_cte_lstm_1.[State_1] + -0.06965585875573488 * rnn_cte_lstm_1.[State_2] + 0.5835326918567338 * rnn_cte_lstm_1.[State_3] END * rnn_cte_lstm_1.[State_5] AS [State_5], CASE WHEN (lstm_input_kernel_bias.dot_prod_i_3 + -0.08246075095429538 * rnn_cte_lstm_1.[State_1] + 0.28885285275698036 * rnn_cte_lstm_1.[State_2] + -0.19409292248622836 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_i_3 + -0.08246075095429538 * rnn_cte_lstm_1.[State_1] + 0.28885285275698036 * rnn_cte_lstm_1.[State_2] + -0.19409292248622836 * rnn_cte_lstm_1.[State_3] END * ((exp(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3]) - exp(-(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3]))) / (exp(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3]) + exp(-(lstm_input_kernel_bias.dot_prod_c_3 + -0.07157507510853936 * rnn_cte_lstm_1.[State_1] + -0.17480802516909186 * rnn_cte_lstm_1.[State_2] + -0.16245894120828017 * rnn_cte_lstm_1.[State_3])))) + CASE WHEN (lstm_input_kernel_bias.dot_prod_f_3 + 0.4441732904955501 * rnn_cte_lstm_1.[State_1] + 0.22077978616056787 * rnn_cte_lstm_1.[State_2] + 0.041098765644672824 * rnn_cte_lstm_1.[State_3] <= 0) THEN 0 ELSE lstm_input_kernel_bias.dot_prod_f_3 + 0.4441732904955501 * rnn_cte_lstm_1.[State_1] + 0.22077978616056787 * rnn_cte_lstm_1.[State_2] + 0.041098765644672824 * rnn_cte_lstm_1.[State_3] END * rnn_cte_lstm_1.[State_6] AS [State_6] 
  FROM lstm_input_kernel_bias, rnn_cte_lstm_1 
  WHERE lstm_input_kernel_bias.rn = rnn_cte_lstm_1.rn_1 + 1), 
  lstm_1 AS 
  (SELECT rnn_cte_lstm_1.[KEY] AS [KEY], CAST(rnn_cte_lstm_1.[State_1] AS FLOAT(53)) AS output_1, CAST(rnn_cte_lstm_1.[State_2] AS FLOAT(53)) AS output_2, CAST(rnn_cte_lstm_1.[State_3] AS FLOAT(53)) AS output_3 
  FROM rnn_cte_lstm_1), 
  lstm_1_1 AS 
  (SELECT lstm_1.[KEY] AS [KEY], lstm_1.output_1 AS output_1, lstm_1.output_2 AS output_2, lstm_1.output_3 AS output_3 
  FROM lstm_1), 
  layer_dense_1 AS 
  (SELECT lstm_1_1.[KEY] AS [KEY], -0.05115183640052758 + -0.5182396232281188 * lstm_1_1.output_1 + -0.2008461043012133 * lstm_1_1.output_2 + 0.5286108108063203 * lstm_1_1.output_3 AS output_1, -0.0007861222741903456 + 0.9386855134594749 * lstm_1_1.output_1 + -0.4546380219915114 * lstm_1_1.output_2 + -0.27474160630476874 * lstm_1_1.output_3 AS output_2, 0.04272560385796185 + -0.4551124262717887 * lstm_1_1.output_1 + 0.34144295018040927 * lstm_1_1.output_2 + 0.8839938302622135 * lstm_1_1.output_3 AS output_3 
  FROM lstm_1_1), 
  layer_dense_1_1 AS 
  (SELECT layer_dense_1.[KEY] AS [KEY], layer_dense_1.output_1 AS output_1, layer_dense_1.output_2 AS output_2, layer_dense_1.output_3 AS output_3 
  FROM layer_dense_1), 
  score_soft_max_step1 AS 
  (SELECT layer_dense_1_1.[KEY] AS [KEY], layer_dense_1_1.output_1 AS [Score_0], exp(CASE WHEN (100.0 <= CASE WHEN (-100.0 <= layer_dense_1_1.output_1) THEN layer_dense_1_1.output_1 ELSE -100.0 END) THEN 100.0 ELSE CASE WHEN (-100.0 <= layer_dense_1_1.output_1) THEN layer_dense_1_1.output_1 ELSE -100.0 END END) AS [exp_Score_0], layer_dense_1_1.output_2 AS [Score_1], exp(CASE WHEN (100.0 <= CASE WHEN (-100.0 <= layer_dense_1_1.output_2) THEN layer_dense_1_1.output_2 ELSE -100.0 END) THEN 100.0 ELSE CASE WHEN (-100.0 <= layer_dense_1_1.output_2) THEN layer_dense_1_1.output_2 ELSE -100.0 END END) AS [exp_Score_1], layer_dense_1_1.output_3 AS [Score_2], exp(CASE WHEN (100.0 <= CASE WHEN (-100.0 <= layer_dense_1_1.output_3) THEN layer_dense_1_1.output_3 ELSE -100.0 END) THEN 100.0 ELSE CASE WHEN (-100.0 <= layer_dense_1_1.output_3) THEN layer_dense_1_1.output_3 ELSE -100.0 END END) AS [exp_Score_2] 
  FROM layer_dense_1_1), 
  score_class_union_soft AS 
  (SELECT soft_scu.[KEY] AS [KEY], soft_scu.class AS class, soft_scu.[exp_Score] AS [exp_Score] 
  FROM (SELECT score_soft_max_step1.[KEY] AS [KEY], 0 AS class, score_soft_max_step1.[exp_Score_0] AS [exp_Score] 
  FROM score_soft_max_step1 UNION ALL SELECT score_soft_max_step1.[KEY] AS [KEY], 1 AS class, score_soft_max_step1.[exp_Score_1] AS [exp_Score] 
  FROM score_soft_max_step1 UNION ALL SELECT score_soft_max_step1.[KEY] AS [KEY], 2 AS class, score_soft_max_step1.[exp_Score_2] AS [exp_Score] 
  FROM score_soft_max_step1) AS soft_scu), 
  score_soft_max AS 
  (SELECT score_soft_max_step1.[KEY] AS [KEY], score_soft_max_step1.[Score_0] AS [Score_0], score_soft_max_step1.[exp_Score_0] AS [exp_Score_0], score_soft_max_step1.[Score_1] AS [Score_1], score_soft_max_step1.[exp_Score_1] AS [exp_Score_1], score_soft_max_step1.[Score_2] AS [Score_2], score_soft_max_step1.[exp_Score_2] AS [exp_Score_2], sum_exp_t.[KEY_sum] AS [KEY_sum], sum_exp_t.[sum_ExpScore] AS [sum_ExpScore] 
  FROM score_soft_max_step1 LEFT OUTER JOIN (SELECT score_class_union_soft.[KEY] AS [KEY_sum], sum(score_class_union_soft.[exp_Score]) AS [sum_ExpScore] 
  FROM score_class_union_soft GROUP BY score_class_union_soft.[KEY]) AS sum_exp_t ON score_soft_max_step1.[KEY] = sum_exp_t.[KEY_sum]), 
  layer_softmax AS 
  (SELECT score_soft_max.[KEY] AS [KEY], score_soft_max.[exp_Score_0] / score_soft_max.[sum_ExpScore] AS output_1, score_soft_max.[exp_Score_1] / score_soft_max.[sum_ExpScore] AS output_2, score_soft_max.[exp_Score_2] / score_soft_max.[sum_ExpScore] AS output_3 
  FROM score_soft_max), 
  orig_cte AS 
  (SELECT layer_softmax.[KEY] AS [KEY], CAST(NULL AS FLOAT(53)) AS [Score_CLASS_0], CAST(NULL AS FLOAT(53)) AS [Score_CLASS_1], CAST(NULL AS FLOAT(53)) AS [Score_CLASS_2], layer_softmax.output_1 AS [Proba_CLASS_0], layer_softmax.output_2 AS [Proba_CLASS_1], layer_softmax.output_3 AS [Proba_CLASS_2], CAST(NULL AS FLOAT(53)) AS [LogProba_CLASS_0], CAST(NULL AS FLOAT(53)) AS [LogProba_CLASS_1], CAST(NULL AS FLOAT(53)) AS [LogProba_CLASS_2], CAST(NULL AS BIGINT) AS [Decision], CAST(NULL AS FLOAT(53)) AS [DecisionProba] 
  FROM layer_softmax), 
  score_class_union AS 
  (SELECT scu.[KEY_u] AS [KEY_u], scu.class AS class, scu.[LogProba] AS [LogProba], scu.[Proba] AS [Proba], scu.[Score] AS [Score] 
  FROM (SELECT orig_cte.[KEY] AS [KEY_u], 'CLASS_0' AS class, orig_cte.[LogProba_CLASS_0] AS [LogProba], orig_cte.[Proba_CLASS_0] AS [Proba], orig_cte.[Score_CLASS_0] AS [Score] 
  FROM orig_cte UNION ALL SELECT orig_cte.[KEY] AS [KEY_u], 'CLASS_1' AS class, orig_cte.[LogProba_CLASS_1] AS [LogProba], orig_cte.[Proba_CLASS_1] AS [Proba], orig_cte.[Score_CLASS_1] AS [Score] 
  FROM orig_cte UNION ALL SELECT orig_cte.[KEY] AS [KEY_u], 'CLASS_2' AS class, orig_cte.[LogProba_CLASS_2] AS [LogProba], orig_cte.[Proba_CLASS_2] AS [Proba], orig_cte.[Score_CLASS_2] AS [Score] 
  FROM orig_cte) AS scu), 
  score_max AS 
  (SELECT orig_cte.[KEY] AS [KEY], orig_cte.[Score_CLASS_0] AS [Score_CLASS_0], orig_cte.[Score_CLASS_1] AS [Score_CLASS_1], orig_cte.[Score_CLASS_2] AS [Score_CLASS_2], orig_cte.[Proba_CLASS_0] AS [Proba_CLASS_0], orig_cte.[Proba_CLASS_1] AS [Proba_CLASS_1], orig_cte.[Proba_CLASS_2] AS [Proba_CLASS_2], orig_cte.[LogProba_CLASS_0] AS [LogProba_CLASS_0], orig_cte.[LogProba_CLASS_1] AS [LogProba_CLASS_1], orig_cte.[LogProba_CLASS_2] AS [LogProba_CLASS_2], orig_cte.[Decision] AS [Decision], orig_cte.[DecisionProba] AS [DecisionProba], max_select.[KEY_m] AS [KEY_m], max_select.[max_Proba] AS [max_Proba] 
  FROM orig_cte LEFT OUTER JOIN (SELECT score_class_union.[KEY_u] AS [KEY_m], max(score_class_union.[Proba]) AS [max_Proba] 
  FROM score_class_union GROUP BY score_class_union.[KEY_u]) AS max_select ON orig_cte.[KEY] = max_select.[KEY_m]), 
  union_with_max AS 
  (SELECT score_class_union.[KEY_u] AS [KEY_u], score_class_union.class AS class, score_class_union.[LogProba] AS [LogProba], score_class_union.[Proba] AS [Proba], score_class_union.[Score] AS [Score], score_max.[KEY] AS [KEY], score_max.[Score_CLASS_0] AS [Score_CLASS_0], score_max.[Score_CLASS_1] AS [Score_CLASS_1], score_max.[Score_CLASS_2] AS [Score_CLASS_2], score_max.[Proba_CLASS_0] AS [Proba_CLASS_0], score_max.[Proba_CLASS_1] AS [Proba_CLASS_1], score_max.[Proba_CLASS_2] AS [Proba_CLASS_2], score_max.[LogProba_CLASS_0] AS [LogProba_CLASS_0], score_max.[LogProba_CLASS_1] AS [LogProba_CLASS_1], score_max.[LogProba_CLASS_2] AS [LogProba_CLASS_2], score_max.[Decision] AS [Decision], score_max.[DecisionProba] AS [DecisionProba], score_max.[KEY_m] AS [KEY_m], score_max.[max_Proba] AS [max_Proba] 
  FROM score_class_union LEFT OUTER JOIN score_max ON score_class_union.[KEY_u] = score_max.[KEY]), 
  arg_max_cte AS 
  (SELECT score_max.[KEY] AS [KEY], score_max.[Score_CLASS_0] AS [Score_CLASS_0], score_max.[Score_CLASS_1] AS [Score_CLASS_1], score_max.[Score_CLASS_2] AS [Score_CLASS_2], score_max.[Proba_CLASS_0] AS [Proba_CLASS_0], score_max.[Proba_CLASS_1] AS [Proba_CLASS_1], score_max.[Proba_CLASS_2] AS [Proba_CLASS_2], score_max.[LogProba_CLASS_0] AS [LogProba_CLASS_0], score_max.[LogProba_CLASS_1] AS [LogProba_CLASS_1], score_max.[LogProba_CLASS_2] AS [LogProba_CLASS_2], score_max.[Decision] AS [Decision], score_max.[DecisionProba] AS [DecisionProba], score_max.[KEY_m] AS [KEY_m], score_max.[max_Proba] AS [max_Proba], [arg_max_t_Proba].[KEY_Proba] AS [KEY_Proba], [arg_max_t_Proba].[arg_max_Proba] AS [arg_max_Proba] 
  FROM score_max LEFT OUTER JOIN (SELECT union_with_max.[KEY] AS [KEY_Proba], max(union_with_max.class) AS [arg_max_Proba] 
  FROM union_with_max 
  WHERE union_with_max.[max_Proba] <= union_with_max.[Proba] GROUP BY union_with_max.[KEY]) AS [arg_max_t_Proba] ON score_max.[KEY] = [arg_max_t_Proba].[KEY_Proba])
   SELECT arg_max_cte.[KEY] AS [KEY], arg_max_cte.[Score_CLASS_0] AS [Score_CLASS_0], arg_max_cte.[Score_CLASS_1] AS [Score_CLASS_1], arg_max_cte.[Score_CLASS_2] AS [Score_CLASS_2], arg_max_cte.[Proba_CLASS_0] AS [Proba_CLASS_0], arg_max_cte.[Proba_CLASS_1] AS [Proba_CLASS_1], arg_max_cte.[Proba_CLASS_2] AS [Proba_CLASS_2], CASE WHEN (arg_max_cte.[Proba_CLASS_0] IS NULL OR arg_max_cte.[Proba_CLASS_0] > 0.0) THEN log(arg_max_cte.[Proba_CLASS_0]) ELSE -1.79769313486231e+308 END AS [LogProba_CLASS_0], CASE WHEN (arg_max_cte.[Proba_CLASS_1] IS NULL OR arg_max_cte.[Proba_CLASS_1] > 0.0) THEN log(arg_max_cte.[Proba_CLASS_1]) ELSE -1.79769313486231e+308 END AS [LogProba_CLASS_1], CASE WHEN (arg_max_cte.[Proba_CLASS_2] IS NULL OR arg_max_cte.[Proba_CLASS_2] > 0.0) THEN log(arg_max_cte.[Proba_CLASS_2]) ELSE -1.79769313486231e+308 END AS [LogProba_CLASS_2], arg_max_cte.[arg_max_Proba] AS [Decision], arg_max_cte.[max_Proba] AS [DecisionProba] 
  FROM arg_max_cte