message: Fixed input shape for freezing audio graphs
diff: @@ -90,9 +90,14 @@ def create_inference_graph(wanted_words, sample_rate, clip_duration_ms,
  spectrogram,
  decoded_sample_data.sample_rate,
  dct_coefficient_count=dct_coefficient_count)
  + fingerprint_frequency_size = model_settings['dct_coefficient_count']
  + fingerprint_time_size = model_settings['spectrogram_length']
  + reshaped_input = tf.reshape(fingerprint_input, [
  + -1, fingerprint_time_size * fingerprint_frequency_size
  + ])
  logits = models.create_model(
  - fingerprint_input, model_settings, model_architecture, is_training=False)
  + reshaped_input, model_settings, model_architecture, is_training=False)
  # Create an output to use for inference.
  tf.nn.softmax(logits, name='labels_softmax')
  