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Diffstat (limited to 'tensorflow/core/kernels/data/zip_dataset_op.cc')
-rw-r--r--tensorflow/core/kernels/data/zip_dataset_op.cc9
1 files changed, 5 insertions, 4 deletions
diff --git a/tensorflow/core/kernels/data/zip_dataset_op.cc b/tensorflow/core/kernels/data/zip_dataset_op.cc
index 00705236f9..63e9b99d4b 100644
--- a/tensorflow/core/kernels/data/zip_dataset_op.cc
+++ b/tensorflow/core/kernels/data/zip_dataset_op.cc
@@ -77,13 +77,14 @@ class ZipDatasetOp : public DatasetOpKernel {
string DebugString() const override { return "ZipDatasetOp::Dataset"; }
protected:
- Status AsGraphDefInternal(OpKernelContext* ctx, DatasetGraphDefBuilder* b,
+ Status AsGraphDefInternal(SerializationContext* ctx,
+ DatasetGraphDefBuilder* b,
Node** output) const override {
std::vector<Node*> input_graph_nodes;
input_graph_nodes.reserve(inputs_.size());
for (const auto& input : inputs_) {
Node* input_node;
- TF_RETURN_IF_ERROR(b->AddParentDataset(ctx, input, &input_node));
+ TF_RETURN_IF_ERROR(b->AddInputDataset(ctx, input, &input_node));
input_graph_nodes.emplace_back(input_node);
}
TF_RETURN_IF_ERROR(b->AddDataset(
@@ -142,7 +143,7 @@ class ZipDatasetOp : public DatasetOpKernel {
writer->WriteScalar(full_name("input_impls_empty"), ""));
} else {
for (auto& input_impl : input_impls_)
- TF_RETURN_IF_ERROR(SaveParent(writer, input_impl));
+ TF_RETURN_IF_ERROR(SaveInput(writer, input_impl));
}
return Status::OK();
}
@@ -155,7 +156,7 @@ class ZipDatasetOp : public DatasetOpKernel {
} else {
DCHECK_EQ(input_impls_.size(), dataset()->inputs_.size());
for (auto& input_impl : input_impls_)
- TF_RETURN_IF_ERROR(RestoreParent(ctx, reader, input_impl));
+ TF_RETURN_IF_ERROR(RestoreInput(ctx, reader, input_impl));
}
return Status::OK();
}