tf.errors.FailedPreconditionError

TensorFlow 1 version

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Raised when an operation receives an invalid argument.

Inherits From: OpError

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.errors.InvalidArgumentError

tf.errors.InvalidArgumentError(
    node_def, op, message
)

This may occur, for example, if an operation receives an input tensor that has an invalid value or shape. For example, the tf.matmul op will raise this error if it receives an input that is not a matrix, and the tf.reshape op will raise this error if the new shape does not match the number of elements in the input tensor.

Attributes
`error_code`	The integer error code that describes 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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tf.errors / FailedPreconditionError

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Attributes