Automated Code Change

PiperOrigin-RevId: 627623216

Author: tfx-copybara

struct2tensor/ops/decode_proto_map_op.cc

@@ -36,7 +36,7 @@ REGISTER_OP("DecodeProtoMapV2")
       for (int i = 0; i < 2 * num_keys; ++i) {
         c->set_output(i, c->Vector(c->UnknownDim()));
       }
-      return tensorflow::OkStatus();
+      return absl::OkStatus();
     })
     .Doc(R"doc(
 An op to decode serialized protobuf map entries with given keys into Tensors.
@@ -107,5 +107,5 @@ REGISTER_OP("DecodeProtoMap")
       for (int i = 0; i < 2 * num_keys; ++i) {
         c->set_output(i, c->Vector(c->UnknownDim()));
       }
-      return tensorflow::OkStatus();
+      return absl::OkStatus();
     });

struct2tensor/ops/decode_proto_sparse_op.cc

@@ -47,7 +47,7 @@ REGISTER_OP("DecodeProtoSparseV4")
         c->set_output(i, c->Vector(c->UnknownDim()));
       }
 
-      return tensorflow::OkStatus();
+      return absl::OkStatus();
     })
     .Doc(R"doc(
 The `decode_proto_sparse` op extracts fields from a serialized protocol
@@ -157,7 +157,7 @@ REGISTER_OP("DecodeProtoSparseV3")
         c->set_output(i, c->Vector(c->UnknownDim()));
       }
 
-      return tensorflow::OkStatus();
+      return absl::OkStatus();
     });
 
 // See DecodeProtoSparseV3. DecodeProtoSparseV2 omits `backing_string` and
@@ -184,5 +184,5 @@ REGISTER_OP("DecodeProtoSparseV2")
         c->set_output(i, c->Vector(c->UnknownDim()));
       }
 
-      return tensorflow::OkStatus();
+      return absl::OkStatus();
     });

struct2tensor/ops/equi_join_any_indices_op.cc

@@ -27,7 +27,7 @@ REGISTER_OP("EquiJoinAnyIndices")
     .SetShapeFn([](InferenceContext* c) {
       c->set_output(0, c->Vector(InferenceContext::kUnknownDim));
       c->set_output(1, c->Vector(InferenceContext::kUnknownDim));
-      return tensorflow::OkStatus();
+      return absl::OkStatus();
     })
     .Doc(R"doc(
 This op is similiar to EquiJoinIndices. However this op does not assume that

struct2tensor/ops/equi_join_indices_op.cc

@@ -27,7 +27,7 @@ REGISTER_OP("EquiJoinIndices")
     .SetShapeFn([](InferenceContext* c) {
       c->set_output(0, c->Vector(InferenceContext::kUnknownDim));
       c->set_output(1, c->Vector(InferenceContext::kUnknownDim));
-      return tensorflow::OkStatus();
+      return absl::OkStatus();
     })
     .Doc(R"doc(
 An op on two 1-D int64 tensors a,b that

struct2tensor/ops/run_length_before_op.cc

@@ -21,7 +21,7 @@ REGISTER_OP("RunLengthBefore")
     .Output("run_length_before: int64")
     .SetShapeFn([](::tensorflow::shape_inference::InferenceContext* context) {
       context->set_output(0, context->input(0));
-      return tensorflow::OkStatus();
+      return absl::OkStatus();
     })
     .Doc(R"doc(
 The `run_length_before` op, given [a_0,...,a_n], returns [b_0,...,b_n] where: