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# `class tensorflow::Status`
Denotes success or failure of a call in Tensorflow.
###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}
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