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-rw-r--r--tensorflow/core/distributed_runtime/rpc_collective_executor_mgr_test.cc47
1 files changed, 47 insertions, 0 deletions
diff --git a/tensorflow/core/distributed_runtime/rpc_collective_executor_mgr_test.cc b/tensorflow/core/distributed_runtime/rpc_collective_executor_mgr_test.cc
index 37b83d82be..0323300fdd 100644
--- a/tensorflow/core/distributed_runtime/rpc_collective_executor_mgr_test.cc
+++ b/tensorflow/core/distributed_runtime/rpc_collective_executor_mgr_test.cc
@@ -26,6 +26,7 @@ limitations under the License.
#include "tensorflow/core/lib/core/status.h"
#include "tensorflow/core/lib/core/status_test_util.h"
#include "tensorflow/core/platform/test.h"
+#include "tensorflow/core/protobuf/worker.pb.h"
#include "tensorflow/core/public/session_options.h"
namespace tensorflow {
@@ -121,4 +122,50 @@ TEST_F(RpcCollectiveExecutorMgrTest, NextStepId) {
EXPECT_GT(llabs(y - z), 3);
}
+TEST_F(RpcCollectiveExecutorMgrTest, GetStepSequence) {
+ int64 x = cme_->NextStepId(3);
+ EXPECT_EQ(x, CollectiveExecutor::kInvalidId);
+ int64 y = cme_->NextStepId(4);
+ EXPECT_EQ(y, CollectiveExecutor::kInvalidId);
+ GetStepSequenceRequest request;
+ GetStepSequenceResponse response;
+ request.add_graph_key(3);
+ request.add_graph_key(4);
+ {
+ Notification note;
+ Status status;
+ cme_->GetStepSequenceAsync(&request, &response,
+ [this, &status, &note](const Status& s) {
+ status = s;
+ note.Notify();
+ });
+ note.WaitForNotification();
+ EXPECT_TRUE(status.ok());
+ }
+ ASSERT_EQ(2, response.step_sequence_size());
+ std::unordered_map<int64, int64> values;
+ for (const auto& ss : response.step_sequence()) {
+ values[ss.graph_key()] = ss.next_step_id();
+ }
+ EXPECT_NE(values[3], CollectiveExecutor::kInvalidId);
+ EXPECT_NE(values[4], CollectiveExecutor::kInvalidId);
+ // Re-get, should be same values.
+ response.Clear();
+ {
+ Notification note;
+ Status status;
+ cme_->GetStepSequenceAsync(&request, &response,
+ [this, &status, &note](const Status& s) {
+ status = s;
+ note.Notify();
+ });
+ note.WaitForNotification();
+ EXPECT_TRUE(status.ok());
+ }
+ ASSERT_EQ(2, response.step_sequence_size());
+ for (const auto& ss : response.step_sequence()) {
+ EXPECT_EQ(values[ss.graph_key()], ss.next_step_id());
+ }
+}
+
} // namespace tensorflow