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https://issues.apache.org/jira/browse/MADLIB-1405?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nikhil Kak updated MADLIB-1405:
-------------------------------
    Description: 
Both fit and fit multiple fail with the following error when run with gpdb6 and 
a big enough dataset such as places
{code:java}
ERROR:  spiexceptions.InternalError: invalid memory alloc request size 
1189758503 (plpy_elog.c:121)
CONTEXT:  Traceback (most recent call last):
  PL/Python function "madlib_keras_fit", line 21, in <module>
    madlib_keras.fit(**globals())
  PL/Python function "madlib_keras_fit", line 42, in wrapper
  PL/Python function "madlib_keras_fit", line 182, in fit
PL/Python function "madlib_keras_fit"
{code}

  was:
Both fit and fit multiple fail with the following error when run with a big 
enough dataset such as places

{code}
ERROR:  spiexceptions.InternalError: invalid memory alloc request size 
1189758503 (plpy_elog.c:121)
CONTEXT:  Traceback (most recent call last):
  PL/Python function "madlib_keras_fit", line 21, in <module>
    madlib_keras.fit(**globals())
  PL/Python function "madlib_keras_fit", line 42, in wrapper
  PL/Python function "madlib_keras_fit", line 182, in fit
PL/Python function "madlib_keras_fit"
{code}


> DL: fit and fit multiple fail with memory exception with gpdb6
> --------------------------------------------------------------
>
>                 Key: MADLIB-1405
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1405
>             Project: Apache MADlib
>          Issue Type: Bug
>          Components: Deep Learning
>            Reporter: Nikhil Kak
>            Priority: Major
>             Fix For: v1.17
>
>
> Both fit and fit multiple fail with the following error when run with gpdb6 
> and a big enough dataset such as places
> {code:java}
> ERROR:  spiexceptions.InternalError: invalid memory alloc request size 
> 1189758503 (plpy_elog.c:121)
> CONTEXT:  Traceback (most recent call last):
>   PL/Python function "madlib_keras_fit", line 21, in <module>
>     madlib_keras.fit(**globals())
>   PL/Python function "madlib_keras_fit", line 42, in wrapper
>   PL/Python function "madlib_keras_fit", line 182, in fit
> PL/Python function "madlib_keras_fit"
> {code}



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