package tensorflow.error

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error_codes.proto:22

The canonical error codes for TensorFlow APIs. Warnings: - Do not change any numeric assignments. - Changes to this list should only be made if there is a compelling need that can't be satisfied in another way. Such changes must be approved by at least two OWNERS. Sometimes multiple error codes may apply. Services should return the most specific error code that applies. For example, prefer OUT_OF_RANGE over FAILED_PRECONDITION if both codes apply. Similarly prefer NOT_FOUND or ALREADY_EXISTS over FAILED_PRECONDITION.

Used in: QueueRunnerDef