protobuf-c

PROTOBUFF INT64 check aganist previously entered data c++

纵然是瞬间 提交于 2020-01-07 06:57:36
问题 message HealthOccurrenceCount { required int64 HealthID=1; required int32 OccCount=2; optional bytes wci=3; } I would like to add data based on HealthID ; If HealthID is already entered then instead of adding a new entry, the program should instead just increment the existing entry's OccCount . HealthOccurrenceCount objHelthOccCount; if(objHelthOccCount.healthid() == healthID) // Is this right or do I need to iterate all the nodes? { occCount++; objHelthOccCount.set_occcount(occCount); } else

How to integrate/install latest c++ protobuf (3.2) with Android NDK?

无人久伴 提交于 2019-12-30 11:14:09
问题 The earlier protobuf version 3.0 was easily integrated. But there are issues with the latest version 3.2. It simply compiles & builds all the un-related Android .cc file components as well. If we follow the path to latest branch in git for c++ proto & build it as per the steps, then it generates 15 MB .SO file, unlike earlier which was ~1-2 MB. How to optimally integrate latest protobuf to Android? 回答1: Using cross platform Android Standalone Tool chain and provided build script may result in

How to integrate/install latest c++ protobuf (3.2) with Android NDK?

|▌冷眼眸甩不掉的悲伤 提交于 2019-12-30 11:14:05
问题 The earlier protobuf version 3.0 was easily integrated. But there are issues with the latest version 3.2. It simply compiles & builds all the un-related Android .cc file components as well. If we follow the path to latest branch in git for c++ proto & build it as per the steps, then it generates 15 MB .SO file, unlike earlier which was ~1-2 MB. How to optimally integrate latest protobuf to Android? 回答1: Using cross platform Android Standalone Tool chain and provided build script may result in

Errors running Sagemaker Batch Transformation with LDA model

不羁岁月 提交于 2019-12-25 04:22:32
问题 I've successfully trained a LDA model with sagemaker, I've been able to set up an Inference API but it has a limit of how many records I can query at a time. I need to get predictions for a large file and have been trying to use Batch Transformation however am running against roadblock. My input date is in application/x-recordio-protobuf content type, code is as follows: # Initialize the transformer object transformer =sagemaker.transformer.Transformer( base_transform_job_name='Batch

Errors running Sagemaker Batch Transformation with LDA model

一笑奈何 提交于 2019-12-25 04:22:02
问题 I've successfully trained a LDA model with sagemaker, I've been able to set up an Inference API but it has a limit of how many records I can query at a time. I need to get predictions for a large file and have been trying to use Batch Transformation however am running against roadblock. My input date is in application/x-recordio-protobuf content type, code is as follows: # Initialize the transformer object transformer =sagemaker.transformer.Transformer( base_transform_job_name='Batch

Protobuf c++ extensions use

最后都变了- 提交于 2019-12-12 01:07:59
问题 I'm using google protobuf library version 2.61 and want to use extensions, I have the following proto files: package communication; message BaseMessage { required uint64 server_id = 1; required string uuid = 2; required uint64 message_id = 3; extensions 100 to max; } message GetIdentify { extend BaseMessage { optional GetIdentify message = 100; } required string hostname = 1; } I am able to build the message using the following code: communication::BaseMessage base_message; base_message.set

How to integrate/install latest c++ protobuf (3.2) with Android NDK?

*爱你&永不变心* 提交于 2019-12-01 09:37:41
The earlier protobuf version 3.0 was easily integrated. But there are issues with the latest version 3.2. It simply compiles & builds all the un-related Android .cc file components as well. If we follow the path to latest branch in git for c++ proto & build it as per the steps, then it generates 15 MB .SO file, unlike earlier which was ~1-2 MB. How to optimally integrate latest protobuf to Android? Using cross platform Android Standalone Tool chain and provided build script may result in larger size of Shared library file(.so), generated due to unwanted files included in build script.You can