示例#1
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def get_metrics(generator_inputs, generated_data, real_data,
                discriminator_real_outputs, discriminator_gen_outputs):
  del generator_inputs, discriminator_real_outputs, discriminator_gen_outputs
  return {
      'mse_custom_metric': metrics_lib.mean_squared_error(
          real_data, generated_data)
  }
示例#2
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 def _metric_fn(x):
   labels = x["labels"]
   predictions = x["predictions"]
   return metrics.mean_squared_error(labels, predictions)
示例#3
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 def _metric_fn(x):
     labels = x["labels"]
     predictions = x["predictions"]
     return metrics.mean_squared_error(labels, predictions)
示例#4
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def get_metrics(gan_model):
    return {
        'mse_custom_metric':
        metrics_lib.mean_squared_error(gan_model.real_data,
                                       gan_model.generated_data)
    }
示例#5
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def get_metrics(gan_model):
  return {
      'mse_custom_metric': metrics_lib.mean_squared_error(
          gan_model.real_data, gan_model.generated_data)
  }