我有一个tensorflow的2D数组，其一维包含float32类型的数据。我需要将其转换为基于Python的float，以便对其进行序列化。
"""Runs the audio data through the graph and prints predictions."""
with tf.Session() as sess:
# Feed the audio data as input to the graph.
# predictions will contain a two-dimensional array, where one
# dimension represents the input image count, and the other has
# predictions per class
softmax_tensor = sess.graph.get_tensor_by_name(output_layer_name)
predictions, = sess.run(softmax_tensor, {input_layer_name: wav_data})
# Sort to show labels in order of confidence
top_k = predictions.argsort()[-num_top_predictions:][::-1]
result = {}
for node_id in top_k:
human_string = labels[node_id]
score = predictions[node_id] ## Currently a float32 type.
result[human_string] = score
return result
当前，当我尝试序列化字典时，出现以下异常：
TypeError: Object of type float32 is not JSON serializable