diff --git a/tensorflow/core/kernels/data/experimental/snapshot_util.h b/tensorflow/core/kernels/data/experimental/snapshot_util.h index 71dc242a1ed..012adcb2fe9 100644 --- a/tensorflow/core/kernels/data/experimental/snapshot_util.h +++ b/tensorflow/core/kernels/data/experimental/snapshot_util.h @@ -82,8 +82,8 @@ class Writer { // Writes snapshots with the standard TFRecord file format. class TFRecordWriter : public Writer { public: - explicit TFRecordWriter(const std::string& filename, - const std::string& compression_type); + TFRecordWriter(const std::string& filename, + const std::string& compression_type); Status WriteTensors(const std::vector& tensors) override; @@ -114,9 +114,8 @@ class CustomWriter : public Writer { static constexpr const char* const kWriteCord = "WriteCord"; static constexpr const char* const kSeparator = "::"; - explicit CustomWriter(const std::string& filename, - const std::string& compression_type, - const DataTypeVector& dtypes); + CustomWriter(const std::string& filename, const std::string& compression_type, + const DataTypeVector& dtypes); Status WriteTensors(const std::vector& tensors) override; @@ -192,9 +191,8 @@ class Reader { // Reads snapshots previously written with `TFRecordWriter`. class TFRecordReader : public Reader { public: - explicit TFRecordReader(const std::string& filename, - const string& compression_type, - const DataTypeVector& dtypes); + TFRecordReader(const std::string& filename, const string& compression_type, + const DataTypeVector& dtypes); Status ReadTensors(std::vector* read_tensors) override; @@ -231,9 +229,8 @@ class CustomReader : public Reader { static constexpr const char* const kReadCord = "ReadCord"; static constexpr const char* const kSeparator = "::"; - explicit CustomReader(const std::string& filename, - const string& compression_type, const int version, - const DataTypeVector& dtypes); + CustomReader(const std::string& filename, const string& compression_type, + const int version, const DataTypeVector& dtypes); Status ReadTensors(std::vector* read_tensors) override;