CUST tensorflow build_error ai_generated true

tensorflow.python.framework.errors_impl.InternalError: OpKernel registration failed: Could not find 'CustomOp' in the list of registered ops

ID: tensorflow/opkernel-registration-failed

Also available as: JSON · Markdown · 中文

88%Fix Rate

85%Confidence

1Evidence

2024-02-15First Seen

Version Compatibility

Version	Status	Introduced	Deprecated	Notes
tensorflow 2.15	active	—	—	—
tensorflow 2.16	active	—	—	—
tensorflow 2.17	active	—	—	—

Root Cause

A custom TensorFlow operation was compiled for a different TF version or ABI, causing registration to fail at runtime.

generic

中文

自定义 TensorFlow 操作针对不同的 TF 版本或 ABI 编译，导致运行时注册失败。

Official Documentation

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

Workarounds

88% success Rebuild the custom op library using `bazel build //tensorflow/core/user_ops:custom_op.so` with the same TensorFlow source version as the runtime. Then load it via `tf.load_op_library('./custom_op.so')`.
```
Rebuild the custom op library using `bazel build //tensorflow/core/user_ops:custom_op.so` with the same TensorFlow source version as the runtime. Then load it via `tf.load_op_library('./custom_op.so')`.
```
60% success Use `tf.raw_ops` as a fallback if the custom op is a standard operation with a different name.
```
Use `tf.raw_ops` as a fallback if the custom op is a standard operation with a different name.
```

中文步骤

Rebuild the custom op library using `bazel build //tensorflow/core/user_ops:custom_op.so` with the same TensorFlow source version as the runtime. Then load it via `tf.load_op_library('./custom_op.so')`.

Use `tf.raw_ops` as a fallback if the custom op is a standard operation with a different name.

Dead Ends

Common approaches that don't work:

90% fail
Reinstalling TensorFlow via pip does not resolve custom op registration failures because the custom op library must be rebuilt against the exact installed version.
85% fail
Copying the .so file from another machine often fails due to glibc or CUDA version mismatches.