tf.errors.UnimplementedError
Raised when an operation has not been implemented.
Inherits From: OpError
tf.errors.UnimplementedError(
node_def, op, message, *args
)
Some operations may raise this error when passed otherwise-valid arguments that it does not currently support. For example, running the tf.nn.max_pool2d operation would raise this error if pooling was requested on the batch dimension, because this is not yet supported.
| 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.
Note: If the failed op was synthesized at runtime, e.g. a |
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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/errors/UnimplementedError