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                                            liusulizzu

BytesList with length 0 or 1 is inferred to have StringType instead of ArrayType

i also hit this problem , do you have any solutions

[spark-tensorflow-connector] Cannot read multiple TFRecord files

i find the reason, the directory do not look up recursive > Using `spark.read.format("tfrecord").load("path/to/one-file.tfrecord")`, works. How do I read multiple directories with tfrecords in each? I have tried: `spark.read.format("tfrecord").load(paths: _*)`,...