tf.errors.DataLossError | TensorFlow v2.16.1 (original) (raw)
tf.errors.DataLossError
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Raised when unrecoverable data loss or corruption is encountered.
Inherits From: OpError
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.errors.DataLossError
tf.errors.DataLossError(
node_def, op, message, *args
)
This could be due to:
- A truncated file.
- A corrupted file.
- Specifying the wrong data format.
For example, this may be raised by running atf.WholeFileReader.readoperation, if the file is truncated while it is being read.
| Attributes | |
|---|---|
| error_code | The integer error code that describes the error. |
| experimental_payloads | A dictionary describing the details of the error. |
| message | The error message that describes the error. |
| node_def | The NodeDef proto representing the op that failed. |
| op | The operation that failed, if known. |
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Last updated 2024-04-26 UTC.