TF Python producing malformed JSON for numpy style arrays.

TF Python serializes numpy style arrays (e.g. Java NdArray) in the format 'normalizer': array([[0.2, 0.2], [0.1, 0.3]], dtype=float32)'.
This is not standard JSON, and tools, like GSON, throw a MalformedJsonException when trying to parse this.

The issue is how to best handle this in TF Java.

I have looked at GSON using customized TypeAdapter and Serilaizers/Deserializers, but I cannot get past the low level parsing throwing the MalformedJsonException. Right now I think my only alternative is to write a pre-parser to convert the array() format string to a wellformed JSON string.
For example, for the above example:

         {
             'normalizer': {
                " '_ArraySize_' = [1,2],    
                " '_ArrayData_' =  [[0.2, 0.2], [0.1, 0.3]], 
                " '_ArrayType_' = 'float32' 
              }
          }

_ArraySize_ is the array's shape and _ArrayType_ is the datatype for the NdArray.
This format is taken from OpenJData

Also, once we settle on a way to do this, should the NdArray package be modified to include serialize/deserialize methods.
What about compatibility with TF Python?

Any suggestions?

首先复现 issue 中展示的 TF Python 序列化，并跟踪 TF Java NdArray 数据如何进入 GSON 解析。将提议的数组表示形式与 OpenJData 格式进行比较，并定义预期的兼容性行为；当格式以及序列化/反序列化的职责归属达成一致，且不再生成格式错误的 JSON 时，即视为完成。