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#Class tensorflow::Status
##Member Summary
* [tensorflow::Status::Status](#tensorflow_Status_Status)
* Create a success status.
* [tensorflow::Status::~Status](#tensorflow_Status_Status)
* [tensorflow::Status::Status](#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](#tensorflow_Status_Status)
* Copy the specified status.
* [void tensorflow::Status::operator=](#void_tensorflow_Status_operator_)
* [bool tensorflow::Status::ok](#bool_tensorflow_Status_ok)
* Returns true iff the status indicates success.
* [tensorflow::error::Code tensorflow::Status::code](#tensorflow_error_Code_tensorflow_Status_code)
* [const string& tensorflow::Status::error_message](#const_string_amp_tensorflow_Status_error_message)
* [bool tensorflow::Status::operator==](#bool_tensorflow_Status_operator_)
* [bool tensorflow::Status::operator!=](#bool_tensorflow_Status_operator_)
* [void tensorflow::Status::Update](#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".
* [string tensorflow::Status::ToString](#string_tensorflow_Status_ToString)
* Return a string representation of this status suitable for printing. Returns the string "OK" for success.
* [static Status tensorflow::Status::OK](#static_Status_tensorflow_Status_OK)
##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_amp_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.
#### static Status tensorflow::Status::OK() {#static_Status_tensorflow_Status_OK}
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