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From GitBox <...@apache.org>
Subject [GitHub] [madlib] kaknikhil commented on a change in pull request #455: DL: Add new helper function for gpu_configuration
Date Wed, 13 Nov 2019 00:57:59 GMT
kaknikhil commented on a change in pull request #455: DL: Add new helper function for gpu_configuration
URL: https://github.com/apache/madlib/pull/455#discussion_r345522179
 
 

 ##########
 File path: src/ports/postgres/modules/deep_learning/madlib_keras_gpu_info.py_in
 ##########
 @@ -0,0 +1,203 @@
+# coding=utf-8
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""
+@file madlib_keras_gpu_info.py_in
+
+@brief GPU configuration helper function
+
+@namespace madlib_keras_gpu_info
+"""
+
+import plpy
+from utilities.utilities import is_platform_pg
+from utilities.utilities import unique_string
+import subprocess
+import os
+
+class OutputInfoSchema:
+    INFO_TABLE = unique_string(desp='gpu_info')
+    SEG_ID_COL = 'gp_seg_id'
+    GPU_DESCR_COL = 'gpu_descr'
+
+
+class Source:
+    NVIDIA = 'nvidia'
+    TENSORFLOW = 'tensorflow'
+
+
+class GPUInfoFunctions:
+    @staticmethod
+    def get_gpu_info_from_nvidia():
+        """
+        This function will run only on segment(s). Make sure not to run any non
+        select plpy execute.
+        :return: list of gpu descriptions as returned by nvidia-smi -L.
+        """
+        try:
+            return subprocess.check_output(["nvidia-smi", "-L"]).splitlines()
+        except OSError:  # Handle case when nvidia-smi is not found
+            return []
 
 Review comment:
   @fmcquillan99 thoughts ?

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