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paddle/fluid/framework/data_feed.cc
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I've fixed some bugs of dense tensor Resize, maybe you need to adapt the changes later.
paddle/fluid/framework/data_feed.cc
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I fixed some bugs here, maybe you can merge from develop.
paddle/fluid/framework/data_feed.h
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why do you have to add reserved_size?
paddle/fluid/framework/executor.cc
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great, thanks for your fix.
paddle/fluid/framework/trainer.h
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workers_ here should be documented more clearly.
paddle/fluid/framework/trainer.h
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scope_queues_ should be documented clearly, this is a very important data structure in your design.
python/paddle/fluid/executor.py
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not sure whether this matches the newest API, please check and merge diff.
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- cpp: pipeline_trainer & section_worker - python: PipelineOptimizer Add a new datafeed type: PrivateInstantDataFeed test=develop
test=develop
add start_cpu_core_id and param_need_sync in proto update the stream in sync functor test=develop
model is gnn test=develop
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add API.spec test=develop
gavin1332
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code review have be done in the offline
test=release/1.5 Add Pipeline Concurrency Train Mode: - Cpp: pipeline_trainer & section_worker - Python: PipelineOptimizer - Add a new data_feed type: PrivateInstantDataFeed - Add a test demo of pipeline trainer and the test model is gnn - Do not support win32 now
cherry-pick for (#17402) Add Pipeline Concurrency Train Mode: - Cpp: pipeline_trainer & section_worker - Python: PipelineOptimizer - Add a new data_feed type: PrivateInstantDataFeed - Add a test demo of pipeline trainer and the test model is gnn - Do not support win32 now
Add the pipeline concurrency function