RAGGED_UNSUPPORTED tensorflow type_error ai_generated true

InvalidArgumentError: Ragged tensor is not supported for this operation. [Op:RaggedTensorToSparse]

ID: tensorflow/ragged-tensor-unsupported-op

Also available as: JSON · Markdown · 中文
90%Fix Rate
85%Confidence
1Evidence
2024-01-20First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
tensorflow==2.15.0 active — — —
tensorflow==2.16.0 active — — —

Root Cause

An operation that requires dense tensors was applied to a ragged tensor, which must be converted to a sparse or dense representation first.

generic

中文

对不规则张量应用了需要稠密张量的操作，必须先将不规则张量转换为稀疏或稠密表示。

Official Documentation

https://www.tensorflow.org/guide/ragged_tensor

Workarounds

  1. 90% success Convert the ragged tensor to a dense tensor with explicit padding before the unsupported operation. 
    Convert the ragged tensor to a dense tensor with explicit padding before the unsupported operation.
  2. 85% success Use tf.RaggedTensor.from_tensor to create a ragged tensor and then apply row splitting for compatible ops. 
    Use tf.RaggedTensor.from_tensor to create a ragged tensor and then apply row splitting for compatible ops.

中文步骤

  1. Convert the ragged tensor to a dense tensor with explicit padding before the unsupported operation.
  2. Use tf.RaggedTensor.from_tensor to create a ragged tensor and then apply row splitting for compatible ops.

Dead Ends

Common approaches that don't work:

  1. 90% fail

    Using tf.sparse.to_dense on a ragged tensor directly fails because ragged tensors are not sparse.

  2. 40% fail

    Padding the ragged tensor manually with ragged_tensor.to_tensor() may cause memory blowup for large sequences.