Hello, when I use './scripts/qangaroo/full-epar-train.sh'
I encountered this problem:
tensorflow.python.framework.errors_impl.InvalidArgumentError: No OpKernel was registered to support Op 'CudnnRNNParamsSize' used by node model_0/prepro/u1/forward/CudnnRNNParamsSize (defined at /QApaper/EPA/EPAr/my/tensorflow/cudnn_recurrent_layers.py:83) with these attrs: [seed=87654321, dropout=0, S=DT_INT32, input_mode="linear_input", T=DT_FLOAT, direction="unidirectional", rnn_mode="lstm", seed2=0]
Registered devices: [CPU, XLA_CPU, XLA_GPU]
Registered kernels:
device='GPU'; T in [DT_DOUBLE]; S in [DT_INT32]
device='GPU'; T in [DT_FLOAT]; S in [DT_INT32]
device='GPU'; T in [DT_HALF]; S in [DT_INT32]
[[model_0/prepro/u1/forward/CudnnRNNParamsSize]]
So could you tell me how can I solve this problem.
Thanks!
Hello, when I use './scripts/qangaroo/full-epar-train.sh' I encountered this problem:
tensorflow.python.framework.errors_impl.InvalidArgumentError: No OpKernel was registered to support Op 'CudnnRNNParamsSize' used by node model_0/prepro/u1/forward/CudnnRNNParamsSize (defined at /QApaper/EPA/EPAr/my/tensorflow/cudnn_recurrent_layers.py:83) with these attrs: [seed=87654321, dropout=0, S=DT_INT32, input_mode="linear_input", T=DT_FLOAT, direction="unidirectional", rnn_mode="lstm", seed2=0] Registered devices: [CPU, XLA_CPU, XLA_GPU] Registered kernels: device='GPU'; T in [DT_DOUBLE]; S in [DT_INT32] device='GPU'; T in [DT_FLOAT]; S in [DT_INT32] device='GPU'; T in [DT_HALF]; S in [DT_INT32]
So could you tell me how can I solve this problem. Thanks!