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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::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`.
* [`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)
##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.
#### `static Status tensorflow::Status::OK()` {#static_Status_tensorflow_Status_OK}
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