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tf.errors.FailedPreconditionError

Raised when some prerequisites are not met when running an operation.

Inherits From: OpError

View aliases

Compat aliases for migration

tf.compat.v1.errors.FailedPreconditionError

tf.errors.FailedPreconditionError(
    node_def, op, message, *args
)

This typically indicates that system is not in state to execute the operation and requires preconditions to be met before successfully executing current operation.

For example, this exception is commonly raised when running an operation that reads a tf.Variable before it has been initialized.

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 `Send` or `Recv` op, there will be no corresponding `tf.Operation` object. In that case, this will return `None`, and you should instead use the `tf.errors.OpError.node_def` to discover information about the op.

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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/api_docs/python/tf/errors/FailedPreconditionError