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/*
* Copyright 2020 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
syntax = "proto3";
package fcp.client;
import "google/protobuf/duration.proto";
import "fcp/client/engine/engine.proto";
import "tensorflow/core/framework/tensor.proto";
option java_package = "com.google.intelligence.fcp.client";
option java_multiple_files = true;
/**
* This protocol buffer is used to report results and statistics of a Federated
* Computation - including checking in with the server, running a plan, and
* reporting back results - to the caller. It is a protocol buffer to support
* sending it across language boundaries.
*/
message FLRunnerResult {
reserved 1;
// A RetryInfo returned to the caller for consideration in scheduling future
// runs of this task.
RetryInfo retry_info = 4;
// An enum that summarizes whether the client has contributed to an FL/FA
// round.
enum ContributionResult {
UNSPECIFIED = 0;
SUCCESS = 1;
// Any outcome that is not a success.
FAIL = 2;
}
ContributionResult contribution_result = 5;
// Debug message will be present if ContributionResult is FAIL.
string error_message = 6;
reserved 2, 3;
}
// A suggestion to the client when to retry the connection to the service next
// time
message RetryInfo {
// Optional. If set, should be provided back to the next
// RunFederatedComputation invocation.
string retry_token = 1;
// The suggested delay duration after which the client should
// retry. Clients should ideally not retry any earlier than this.
google.protobuf.Duration minimum_delay = 2;
}
/**
* This protocol buffer is used to pass TensorflowSpec-based plan outputs across
* the JNI boundary so they can be accessed in compatibility tests.
*/
message FLRunnerTensorflowSpecResult {
// The outcome of running the plan.
engine.PhaseOutcome outcome = 1;
// The location of the output checkpoint file, if one was created.
string checkpoint_output_filename = 2;
// A map of output tensor names and values, if any.
map<string, tensorflow.TensorProto> output_tensors = 3;
}
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