| Commit message (Collapse) | Author | Age |
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* Add go_package to proto definition files
This fix tries to address the issue raised in 16282 by
add go_package to proto files, so that generated go files
have correct path.
This fix fixes 16282.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add go_package to proto definition in tensorflow/core/framework
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add go_package to proto definition in tensorflow/core/example
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add go_package to proto definition in tensorflow/core/example
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
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PiperOrigin-RevId: 191964391
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Change: 149714094
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Change: 141803185
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This change completes support for distributed partial run.
RPC/Proto changes:
- PartialRunSetup RPC is added to the Master interface.
- A is_partial bool is added to the RunStepRequest.
MasterSession implementation:
- When the MasterSession gets a PartialRunSetupRequest, it constructs the graph and registers the partitions.
- When a is_partial RunStepRequest is received, the feeds and fetches are validated, and corresponding is_partial RunGraphRequests are sent to the workers.
Change: 137989990
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Change: 123900938
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This includes a gRPC server (grpc_tensorflow_server) that can serve as both
the master of a distributed TensorFlow computation, and an individual worker
in the computation. The GrpcSession class is included to allow client programs
(including Python clients) to interact with a server.
See tensorflow/core/distributed_runtime/README.md for usage instructions.
This change partially addresses issue #23.
Change: 115634191
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