piyushghai commented on a change in pull request #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker URL: https://github.com/apache/incubator-mxnet/pull/11626#discussion_r202751868
########## File path: tests/nightly/model_backwards_compatibility_check/common.py ########## @@ -0,0 +1,199 @@ +#!/usr/bin/env python + +# 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. + + +import boto3 +import mxnet as mx +import json +import os +import numpy as np +import logging +from mxnet import nd, autograd, gluon +import mxnet.ndarray as nd +from mxnet.gluon.data.vision import transforms, datasets +from mxnet import autograd as ag +import mxnet.ndarray as F +from mxnet.gluon import nn, rnn +import re +import time +import sys +from mxnet.test_utils import assert_almost_equal + +# Set fixed random seeds. +mx.random.seed(7, ctx = mx.cpu()) +np.random.seed(7) +logging.getLogger().setLevel(logging.DEBUG) + +# get the current mxnet version we are running on +mxnet_version = mx.__version__ +model_bucket_name = 'mxnet-model-backwards-compatibility-models' +data_bucket_name = 'mxnet-model-backwards-compatibility-data' Review comment: The bucket creation is a one-time job which I've already done so. Any other updates to the bucket will be done programatically only. I see your point though. I can however, create two folders under the same bucket. One folder for data and another for models. That should reduce the overhead. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
