react-native-executorch/lib/module/Error.js

An easy way to run AI models in react native with ExecuTorch

"use strict";

export let ETError = /*#__PURE__*/function (ETError) {
  ETError[ETError["UndefinedError"] = 101] = "UndefinedError";
  ETError[ETError["ModuleNotLoaded"] = 102] = "ModuleNotLoaded";
  ETError[ETError["FileWriteFailed"] = 103] = "FileWriteFailed";
  ETError[ETError["ModelGenerating"] = 104] = "ModelGenerating";
  ETError[ETError["LanguageNotSupported"] = 105] = "LanguageNotSupported";
  ETError[ETError["InvalidModelSource"] = 255] = "InvalidModelSource";
  ETError[ETError["Ok"] = 0] = "Ok";
  ETError[ETError["Internal"] = 1] = "Internal";
  ETError[ETError["InvalidState"] = 2] = "InvalidState";
  ETError[ETError["EndOfMethod"] = 3] = "EndOfMethod";
  ETError[ETError["NotSupported"] = 16] = "NotSupported";
  ETError[ETError["NotImplemented"] = 17] = "NotImplemented";
  ETError[ETError["InvalidArgument"] = 18] = "InvalidArgument";
  ETError[ETError["InvalidType"] = 19] = "InvalidType";
  ETError[ETError["OperatorMissing"] = 20] = "OperatorMissing";
  ETError[ETError["NotFound"] = 32] = "NotFound";
  ETError[ETError["MemoryAllocationFailed"] = 33] = "MemoryAllocationFailed";
  ETError[ETError["AccessFailed"] = 34] = "AccessFailed";
  ETError[ETError["InvalidProgram"] = 35] = "InvalidProgram";
  ETError[ETError["DelegateInvalidCompatibility"] = 48] = "DelegateInvalidCompatibility";
  ETError[ETError["DelegateMemoryAllocationFailed"] = 49] = "DelegateMemoryAllocationFailed";
  ETError[ETError["DelegateInvalidHandle"] = 50] = "DelegateInvalidHandle";
  return ETError;
}({});
export const getError = e => {
  if (typeof e === 'number') {
    if (e in ETError) return ETError[e];
    return ETError[ETError.UndefinedError];
  }
  const error = e;
  const errorCode = parseInt(error.message, 10);
  if (errorCode in ETError) return ETError[errorCode];
  return ETError[ETError.UndefinedError];
};
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