Now I am facing a new error while running the checkpoint 0.6.1 in google colab
%cd /content/DeepSpeech/
#!mkdir fine_tuning_checkpoints
!CUDA_VISIBLE_DEVICES=2 python3 DeepSpeech.py \
--n_hidden 2048 \
--checkpoint_dir "/content/gdrive/My Drive/DeepSpeech/checkpoint_directory/deepspeech-0.6.1-checkpoint/" \
--epochs 1 \
--train_files "/content/gdrive/My Drive/DeepSpeech/data_directory/librivox-train-clean-100.csv" \
--dev_files "/content/gdrive/My Drive/DeepSpeech/data_directory/librivox-dev-clean.csv" \
--test_files "/content/gdrive/My Drive/DeepSpeech/data_directory/librivox-test-clean.csv" \
--learning_rate 0.0001 \
--use_allow_growth true \
--train_cudnn true
output:
tensorflow.python.framework.errors_impl.InvalidArgumentError: No OpKernel was registered to support Op 'CudnnRNNCanonicalToParams' used by node tower_0/cudnn_lstm/cudnn_lstm/CudnnRNNCanonicalToParams (defined at /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py:1748) with these attrs: [dropout=0, seed=4568, num_params=8, T=DT_FLOAT, input_mode="linear_input", direction="unidirectional", rnn_mode="lstm", seed2=247]
Registered devices: [CPU, XLA_CPU]
Registered kernels:
<no registered kernels
[[tower_0/cudnn_lstm/cudnn_lstm/CudnnRNNCanonicalToParams]]
If this cuda problem I updated it and worked upon it,
I can run ./bin/run-ldc93s1.sh
and also able to train by removinng --chekpoint_dir and --train_cudnn true flags