[GitHub] larroy commented on a change in pull request #13895: Add a inference script providing both accuracy and benchmark result for original wide_n_deep example

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larroy commented on a change in pull request #13895: Add a inference script providing both accuracy and benchmark result for original wide_n_deep example
URL: https://github.com/apache/incubator-mxnet/pull/13895#discussion_r248655828
 
 

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 File path: example/sparse/wide_deep/inference.py
 ##########
 @@ -0,0 +1,121 @@
+# 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 mxnet as mx
+from mxnet.test_utils import *
+from data import get_uci_adult
+from model import wide_deep_model
+import argparse
+import os
+import time
+
+parser = argparse.ArgumentParser(description="Run sparse wide and deep inference",
+                                 formatter_class=argparse.ArgumentDefaultsHelpFormatter)
+parser.add_argument('--num-infer-batch', type=int, default=100,
+                    help='number of batches to inference')
+parser.add_argument('--load-epoch', type=int, default=0,
+                    help='loading the params of the corresponding training epoch.')
+parser.add_argument('--batch-size', type=int, default=100,
+                    help='number of examples per batch')
+parser.add_argument('--accuracy', action='store_true', default=False,
+                    help='run the script for inference accuracy, not set for benchmark.')
+parser.add_argument('--verbose', action='store_true', default=False,
+                    help='accurcy for each batch will be logged if set')
+parser.add_argument('--cuda', action='store_true', default=False,
+                    help='Train on GPU with CUDA')
+parser.add_argument('--model-prefix', type=str, default='checkpoint',
+                    help='the model prefix')
+
+# Related to feature engineering, please see preprocess in data.py
+ADULT = {
+    'train': 'adult.data',
+    'test': 'adult.test',
+    'url': 'https://archive.ics.uci.edu/ml/machine-learning-databases/adult/',
+    'num_linear_features': 3000,
+    'num_embed_features': 2,
+    'num_cont_features': 38,
+    'embed_input_dims': [1000, 1000],
+    'hidden_units': [8, 50, 100],
+}
+
+if __name__ == '__main__':
 
 Review comment:
   could we wrap it into a main function as:
   
   ```
   if __name__ == '__main__':
       sys.exit(main())
   ```

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