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Searched refs:split_status (Results 1 – 2 of 2) sorted by relevance

/external/tensorflow/tensorflow/core/kernels/batching_util/
Dconcat_split_util.h233 Status split_status; in Split() local
237 split_status = Split<type>(context, input, sizes, outputs); \ in Split()
242 split_status = errors::InvalidArgument("Unsupported data type: ", type); in Split()
245 return split_status; in Split()
Dbatch_resource_base.cc454 const Status split_status = Split(input_task.context, input_tensor, in SplitInputTask() local
456 if (!split_status.ok()) { in SplitInputTask()
459 split_status.ToString()); in SplitInputTask()
520 const Status split_status = tensor::Split( in SplitOutputTensors() local
522 DCHECK(split_status.ok()) << split_status.ToString(); in SplitOutputTensors()
523 if (!split_status.ok()) { in SplitOutputTensors()
525 split_status.ToString()); in SplitOutputTensors()