Example #1
0
 Tensors _preprocess(Tensors inputs)
 {
     if (args.Standardize != null)
     {
         inputs = args.Standardize(inputs);
     }
     if (!string.IsNullOrEmpty(args.Split))
     {
         if (inputs.shape.ndim > 1)
         {
             inputs = array_ops.squeeze(inputs, axis: new[] { -1 });
         }
     }
     return(inputs);
 }
Example #2
0
        Tensors _preprocess(Tensors inputs)
        {
            Tensor input_tensor = null;

            if (args.Standardize != null)
            {
                input_tensor = args.Standardize(inputs);
            }
            if (!string.IsNullOrEmpty(args.Split))
            {
                if (inputs.shape.ndim > 1)
                {
                    input_tensor = array_ops.squeeze(inputs, axis: new[] { -1 });
                }
                if (args.Split == "whitespace")
                {
                    input_tensor = tf.strings.split(input_tensor);
                }
            }
            return(input_tensor);
        }