[GitHub] [incubator-mxnet] vandanavk commented on a change in pull request #13735: update wavenet codes

[GitBox <gi...@apache.org>]

vandanavk commented on a change in pull request #13735: update wavenet codes
URL: https://github.com/apache/incubator-mxnet/pull/13735#discussion_r282326296
 
 

 ##########
 File path: example/gluon/wavenet/data_loader.py
 ##########
 @@ -0,0 +1,55 @@
+# 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
+"""
+Description : Set Dataset module for Wavenet
+"""
+import os
+import numpy as np
+from mxnet import nd
+from scipy.io import wavfile
+from utils import encode_mu_law
+# pylint: disable=invalid-name, too-many-arguments
+
+def load_wav(file_nm):
+    """
+    Description : load wav file
+    """
+    fs, data = wavfile.read(os.getcwd()+'/dataset/'+file_nm)
+    return  fs, data
+
+def data_generation(data, seq_size, mu, ctx):
+    """
+    Description : data generation to loading data
+    """
+    div = max(data.max(), abs(data.min()))
+    data = data/div
+    while True:
+        start = np.random.randint(0, data.shape[0]-seq_size)
+        ys = data[start:start+seq_size]
+        ys = encode_mu_law(ys, mu)
+        yield nd.array(ys[:seq_size], ctx=ctx)
+
+def data_generation_sample(data, seq_size, mu, ctx):
+    """
+    Description : sample data generation to loading data
+    """
+    div = max(data.max(), abs(data.min()))
+    data = data/div
 
 Review comment:
   can div be 0 here?

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