SOS: Error: Mismatching alphabet size in trie file and alphabet file. Trie file will not be loaded.

[lvyilan23]

I use my own dataset to train a 2-gram language model, and then use it to train the speech2text model. The error is as follows:

2020-03-31 04:01:40.187003: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0
2020-03-31 04:01:40.187028: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-03-31 04:01:40.187868: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-03-31 04:01:40.187877: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186] 0
2020-03-31 04:01:40.187881: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0: N
2020-03-31 04:01:40.187942: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-03-31 04:01:40.188251: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-03-31 04:01:40.188587: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10326 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1)
2020-03-31 04:06:18.232103: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
Error: Mismatching alphabet size in trie file and alphabet file. Trie file will not be loaded.
2020-03-31 04:06:18.792360: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
Aborted (core dumped)