如何准备张量流服务的预热请求文件？

Question

当前版本的tensorflow-serving尝试从asset.extra / tf_serving_warmup_requests文件加载预热请求。

2018-08-16 16：05：28.513085：I tensorflow_serving / servables / tensorflow / saved_model_warmup.cc：83]在/tmp/faster_rcnn_inception_v2_coco_2018_01_28_string_input_version-export/1/assets.extra/tf_serving_warmup上未找到热身数据文件

我想知道tensorflow是否提供通用的api将请求导出到该位置吗？还是我们应该手动将请求写到该位置？

Answer 1

目前，尚无用于将预热数据导出到asset.extra的通用API。编写脚本相对简单（类似于以下内容）：

import tensorflow as tf
from tensorflow_serving.apis import model_pb2
from tensorflow_serving.apis import predict_pb2
from tensorflow_serving.apis import prediction_log_pb2

def main():
    with tf.python_io.TFRecordWriter("tf_serving_warmup_requests") as writer:
        request = predict_pb2.PredictRequest(
            model_spec=model_pb2.ModelSpec(name="<add here>"),
            inputs={"examples": tf.make_tensor_proto([<add here>])}
        )
    log = prediction_log_pb2.PredictionLog(
        predict_log=prediction_log_pb2.PredictLog(request=request))
    writer.write(log.SerializeToString())

if __name__ == "__main__":
    main()