ICR tensorflow gpu_error ai_generated partial

InternalError: cuDNN RNN initialization failed: CUDNN_STATUS_BAD_PARAM

ID: tensorflow/internal-error-cudnn-rnn-init

Also available as: JSON · Markdown · 中文

75%Fix Rate

83%Confidence

1Evidence

2024-03-10First Seen

Version Compatibility

Version	Status	Introduced	Deprecated	Notes
tensorflow 2.14.0	active	—	—	—
cudnn 8.9.0	active	—	—	—

Root Cause

cuDNN RNN layer initialization fails due to unsupported hidden size, batch size, or sequence length for the given cuDNN version.

generic

中文

cuDNN RNN层初始化失败，原因是给定cuDNN版本不支持的隐藏大小、批大小或序列长度。

Official Documentation

https://www.tensorflow.org/api_docs/python/tf/keras/layers/LSTM

Workarounds

80% success Reduce the hidden size or batch size to a value supported by cuDNN (e.g., hidden size divisible by 32 or 64): model.add(tf.keras.layers.LSTM(units=256, return_sequences=True)) # Try units=128 or 64 if 256 fails
```
Reduce the hidden size or batch size to a value supported by cuDNN (e.g., hidden size divisible by 32 or 64):
model.add(tf.keras.layers.LSTM(units=256, return_sequences=True))
# Try units=128 or 64 if 256 fails
```
70% success Set the environment variable TF_CUDNN_USE_AUTOTUNE=0 to disable cuDNN autotuning, which may bypass the BAD_PARAM error: export TF_CUDNN_USE_AUTOTUNE=0 python train.py
```
Set the environment variable TF_CUDNN_USE_AUTOTUNE=0 to disable cuDNN autotuning, which may bypass the BAD_PARAM error:
export TF_CUDNN_USE_AUTOTUNE=0
python train.py
```

中文步骤

Reduce the hidden size or batch size to a value supported by cuDNN (e.g., hidden size divisible by 32 or 64):
model.add(tf.keras.layers.LSTM(units=256, return_sequences=True))
# Try units=128 or 64 if 256 fails

Set the environment variable TF_CUDNN_USE_AUTOTUNE=0 to disable cuDNN autotuning, which may bypass the BAD_PARAM error:
export TF_CUDNN_USE_AUTOTUNE=0
python train.py

Dead Ends

Common approaches that don't work:

90% fail
The error is about invalid parameters, not memory.
75% fail
Older cuDNN versions may not support required RNN operations.