Python train.py gives me ValueError: None values not supported

[srinivasj7]

Hi, I'm facing this issue since past two days trying to run the program. I'm running it on Ubuntu 16.04 with Nvidia 965m. I have tried following ways: Used both Python 2.7 and Python 3 Used tensorflow version 1.0.0.

Could you please help me resolve the issue? Here is my complete output:

Tensor("encoder/highwaynet_3/add:0", shape=(32, ?, 128), dtype=float32) Traceback (most recent call last): File "train.py", line 93, in <module> main() File "train.py", line 73, in main g = Graph(); print("Training Graph loaded") File "train.py", line 37, in __init__ self.memory = encode(self.x, is_training=is_training) # (N, T, E) File "/home/user/tacotron/networks.py", line 57, in encode memory = gru(enc, hp.embed_size//2, True) # (N, T, E) File "/home/user/tacotron/modules.py", line 209, in gru outputs, _ = tf.nn.bidirectional_dynamic_rnn(cell, cell_bw, inputs, dtype=tf.float32) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/rnn.py", line 363, in bidirectional_dynamic_rnn seq_dim=time_dim, batch_dim=batch_dim) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 2346, in reverse_sequence name=name) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 2776, in reverse_sequence batch_dim=batch_dim, name=name) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 504, in apply_op values, as_ref=input_arg.is_ref).dtype.name File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 716, in internal_convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/constant_op.py", line 176, in _constant_tensor_conversion_function return constant(v, dtype=dtype, name=name) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/constant_op.py", line 165, in constant tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape)) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 360, in make_tensor_proto raise ValueError("None values not supported.") ValueError: None values not supported.

Thanks in advance

[candlewill]

Try to update your TensorFlow version to v1.1.

[srinivasj7]

Thanks for the help, I tried the exact version of tensorflow@1.1.0, but the program stuck at progress bar, repeated three times. Can you tell me what could cause this problem? Here is the output $ python train_multi_gpus.py

Training Graph loaded 2017-06-07 09:35:32.814437: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. 2017-06-07 09:35:32.814464: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. 2017-06-07 09:35:32.814470: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. 2017-06-07 09:35:32.814476: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. 2017-06-07 09:35:32.814481: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations. 25%|████████▎ | 38/152 [06:55<20:41, 10.89s/b] 99%|███████████████████████████████▊| 151/152 [29:30<00:11, 11.27s/b]
0%| | 0/152 [00:00<?, ?b/s]

UPDATE: Sorry, I'm new to Tensorflow so I didn't know about epoch's (number of iterations)... It would be helpful if the current Epoch value is printed

[YisenWang]

I am using the tensorflow 1.10. And when I run train.py, it can work. But when I run train_multi_gpus.py, it report None value error. Do someone know the reason? Thanks!

[srinivasj7]

@YisenWang Try to remove tensorflow and install tensorflow-gpu==1.1. I solved None value error by doing that