[GitHub] mkolod commented on a change in pull request #11325: Added TensorRT runtime integration

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mkolod commented on a change in pull request #11325: Added TensorRT runtime integration
URL: https://github.com/apache/incubator-mxnet/pull/11325#discussion_r197966380
 
 

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 File path: python/mxnet/cuda_utils.py
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 @@ -0,0 +1,90 @@
+# 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.
+
+# Copyright (c) 2015 by Contributors
+# File: serialization.h
+# Purpose: Functions to query GPU count, arch, etc.
+# Author: Dick Carter
+
+"""Provides information on the visible CUDA GPUs on the system."""
+# pylint: disable=broad-except
+# As a stand-alone program, it prints a list of unique cuda SM architectures
+import ctypes as C
+from ctypes.util import find_library
+
+def cint(init_val=0):
 
 Review comment:
   @eric-haibin-lin Good point, the Ctypes utils could just be moved to base, and then reused in cuda_utils.

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