ptrendx commented on a change in pull request #18683:
URL: https://github.com/apache/incubator-mxnet/pull/18683#discussion_r713373830



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File path: python/mxnet/cuda_utils.py
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@@ -0,0 +1,37 @@
+# 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.
+
+"""Provides python interface to cuda-related functions of the mxnet library."""
+from .base import _LIB, mx_uint, c_str, check_call
+
+def nvtx_range_push(name, color=13323030):

Review comment:
       The problem with this is mainly that the standard hash in Python is not 
deterministic, which would make colors change on subsequent runs. Using a real 
hashing function like the SHA from Python's hashlib on the other hand seems to 
be quite a heavy hammer (and most probably introduce additional overheads, 
which we especially do not want to do when profiling the CPU part of the 
training).




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