关于timit实验重现的问题

[Entonytang]

你好，在重现DBRNN的TIMIT实验过程中程序无法运行；tensorflow==1.1.0 tensorflow-gpu==1.1.0 特征提取过程已经完成 ： 请问这个问题该如何解决？ (tensorflow35)jtang@nelslip-k40-server219:~/tfcode/Automatic_Speech_Recognition/speechvalley/main$ ./run_timit.sh loop index: 2 test mode... load_data... load_data in 2.1332616806030273 s build_graph... Traceback (most recent call last): File "timit_train.py", line 248, in runner.run() File "timit_train.py", line 136, in run model = model_fn(args, maxTimeSteps) File "/home/jtang/anaconda2/envs/tensorflow35/lib/python3.5/site-packages/SpeechValley-1.0.0-py3.5.egg/speechvalley/models/dynamic_brnn.py", line 87, in init File "/home/jtang/anaconda2/envs/tensorflow35/lib/python3.5/site-packages/SpeechValley-1.0.0-py3.5.egg/speechvalley/utils/utils.py", line 25, in wrapper File "/home/jtang/anaconda2/envs/tensorflow35/lib/python3.5/site-packages/SpeechValley-1.0.0-py3.5.egg/speechvalley/models/dynamic_brnn.py", line 118, in build_graph File "/home/jtang/anaconda2/envs/tensorflow35/lib/python3.5/site-packages/tensorflow/python/ops/random_ops.py", line 167, in truncated_normal shape_tensor = _ShapeTensor(shape) File "/home/jtang/anaconda2/envs/tensorflow35/lib/python3.5/site-packages/tensorflow/python/ops/random_ops.py", line 42, in _ShapeTensor return ops.convert_to_tensor(shape, dtype=dtype, name="shape") File "/home/jtang/anaconda2/envs/tensorflow35/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 639, in convert_to_tensor as_ref=False) File "/home/jtang/anaconda2/envs/tensorflow35/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 704, in internal_convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) File "/home/jtang/anaconda2/envs/tensorflow35/lib/python3.5/site-packages/tensorflow/python/framework/constant_op.py", line 113, in _constant_tensor_conversion_function return constant(v, dtype=dtype, name=name) File "/home/jtang/anaconda2/envs/tensorflow35/lib/python3.5/site-packages/tensorflow/python/framework/constant_op.py", line 102, in constant tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape)) File "/home/jtang/anaconda2/envs/tensorflow35/lib/python3.5/site-packages/tensorflow/python/framework/tensor_util.py", line 444, in make_tensor_proto tensor_proto.string_val.extend([compat.as_bytes(x) for x in proto_values]) File "/home/jtang/anaconda2/envs/tensorflow35/lib/python3.5/site-packages/tensorflow/python/framework/tensor_util.py", line 444, in tensor_proto.string_val.extend([compat.as_bytes(x) for x in proto_values]) File "/home/jtang/anaconda2/envs/tensorflow35/lib/python3.5/site-packages/tensorflow/python/util/compat.py", line 65, in as_bytes (bytes_or_text,)) TypeError: Expected binary or unicode string, got 128