ClassStatus.md

class tensorflow::Status

###Member Details

tensorflow::Status::Status() {#tensorflow_Status_Status}

Create a success status.

tensorflow::Status::~Status() {#tensorflow_Status_Status}

tensorflow::Status::Status(tensorflow::error::Code code, tensorflow::StringPiece msg) {#tensorflow_Status_Status}

Create a status with the specified error code and msg as a human-readable string containing more detailed information.

tensorflow::Status::Status(const Status &s) {#tensorflow_Status_Status}

Copy the specified status.

void tensorflow::Status::operator=(const Status &s) {#void_tensorflow_Status_operator_}

bool tensorflow::Status::ok() const {#bool_tensorflow_Status_ok}

Returns true iff the status indicates success.

tensorflow::error::Code tensorflow::Status::code() const {#tensorflow_error_Code_tensorflow_Status_code}

const string& tensorflow::Status::error_message() const {#const_string_tensorflow_Status_error_message}

bool tensorflow::Status::operator==(const Status &x) const {#bool_tensorflow_Status_operator_}

bool tensorflow::Status::operator!=(const Status &x) const {#bool_tensorflow_Status_operator_}

void tensorflow::Status::Update(const Status &new_status) {#void_tensorflow_Status_Update}

If ok(), stores new_status into *this. If !ok(), preserves the current status, but may augment with additional information about new_status.

Convenient way of keeping track of the first error encountered. Instead of: if (overall_status.ok()) overall_status = new_status Use: overall_status.Update(new_status);

string tensorflow::Status::ToString() const {#string_tensorflow_Status_ToString}

Return a string representation of this status suitable for printing. Returns the string "OK" for success.

return tensorflow::Status::OK() {#return_tensorflow_Status_OK}