lstm-char-cnn-tensorflow TypeError: slice indices must be integers or None or have an __index_

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I tried to run the code line (python main.py --dataset ptb) and got the following error. I am using tensorflow 1.0.1 danish@amax:~/trycode/lstm-char-cnn-tensorflow-master$ python main.py --dataset ptb I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcublas.so.8.0 locally I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcudnn.so.5 locally I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcufft.so.8.0 locally I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcuda.so.1 locally I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcurand.so.8.0 locally {'batch_size': 100, 'char_embed_dim': 15, 'checkpoint_dir': 'checkpoint', 'data_dir': 'data', 'dataset': 'ptb', 'decay': 0.5, 'dropout_prob': 0.5, 'epoch': 25, 'feature_maps': '[50,100,150,200,200,200,200]', 'forward_only': False, 'kernels': '[1,2,3,4,5,6,7]', 'learning_rate': 1.0, 'max_word_length': 65, 'model': 'LSTMTDNN', 'seq_length': 35, 'use_char': True, 'use_word': False, 'word_embed_dim': 650} [*] Creating checkpoint directory... W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations. 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. 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. 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. 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. 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. I tensorflow/core/common_runtime/gpu/gpu_device.cc:885] Found device 0 with properties: name: Tesla M40 24GB major: 5 minor: 2 memoryClockRate (GHz) 1.112 pciBusID 0000:04:00.0 Total memory: 22.40GiB Free memory: 22.29GiB W tensorflow/stream_executor/cuda/cuda_driver.cc:590] creating context when one is currently active; existing: 0x2112820 I tensorflow/core/common_runtime/gpu/gpu_device.cc:885] Found device 1 with properties: name: Tesla M40 24GB major: 5 minor: 2 memoryClockRate (GHz) 1.112 pciBusID 0000:05:00.0 Total memory: 22.40GiB Free memory: 22.29GiB W tensorflow/stream_executor/cuda/cuda_driver.cc:590] creating context when one is currently active; existing: 0x21161b0 I tensorflow/core/common_runtime/gpu/gpu_device.cc:885] Found device 2 with properties: name: Tesla M40 24GB major: 5 minor: 2 memoryClockRate (GHz) 1.112 pciBusID 0000:08:00.0 Total memory: 22.40GiB Free memory: 22.29GiB W tensorflow/stream_executor/cuda/cuda_driver.cc:590] creating context when one is currently active; existing: 0x2119b40 I tensorflow/core/common_runtime/gpu/gpu_device.cc:885] Found device 3 with properties: name: Tesla M40 24GB major: 5 minor: 2 memoryClockRate (GHz) 1.112 pciBusID 0000:09:00.0 Total memory: 22.40GiB Free memory: 22.29GiB W tensorflow/stream_executor/cuda/cuda_driver.cc:590] creating context when one is currently active; existing: 0x211d4d0 I tensorflow/core/common_runtime/gpu/gpu_device.cc:885] Found device 4 with properties: name: Tesla M40 24GB major: 5 minor: 2 memoryClockRate (GHz) 1.112 pciBusID 0000:83:00.0 Total memory: 22.40GiB Free memory: 22.29GiB W tensorflow/stream_executor/cuda/cuda_driver.cc:590] creating context when one is currently active; existing: 0x2120e60 I tensorflow/core/common_runtime/gpu/gpu_device.cc:885] Found device 5 with properties: name: Tesla M40 24GB major: 5 minor: 2 memoryClockRate (GHz) 1.112 pciBusID 0000:84:00.0 Total memory: 22.40GiB Free memory: 22.29GiB W tensorflow/stream_executor/cuda/cuda_driver.cc:590] creating context when one is currently active; existing: 0x21247f0 I tensorflow/core/common_runtime/gpu/gpu_device.cc:885] Found device 6 with properties: name: Tesla M40 24GB major: 5 minor: 2 memoryClockRate (GHz) 1.112 pciBusID 0000:87:00.0 Total memory: 22.40GiB Free memory: 22.29GiB W tensorflow/stream_executor/cuda/cuda_driver.cc:590] creating context when one is currently active; existing: 0x2128430 I tensorflow/core/common_runtime/gpu/gpu_device.cc:885] Found device 7 with properties: name: Tesla M40 24GB major: 5 minor: 2 memoryClockRate (GHz) 1.112 pciBusID 0000:88:00.0 Total memory: 22.40GiB Free memory: 22.29GiB I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 0 and 4 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 0 and 5 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 0 and 6 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 0 and 7 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 1 and 4 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 1 and 5 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 1 and 6 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 1 and 7 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 2 and 4 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 2 and 5 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 2 and 6 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 2 and 7 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 3 and 4 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 3 and 5 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 3 and 6 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 3 and 7 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 4 and 0 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 4 and 1 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 4 and 2 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 4 and 3 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 5 and 0 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 5 and 1 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 5 and 2 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 5 and 3 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 6 and 0 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 6 and 1 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 6 and 2 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 6 and 3 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 7 and 0 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 7 and 1 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 7 and 2 I tensorflow/core/common_runtime/gpu/gpu_device.cc:777] Peer access not supported between device ordinals 7 and 3 I tensorflow/core/common_runtime/gpu/gpu_device.cc:906] DMA: 0 1 2 3 4 5 6 7 I tensorflow/core/common_runtime/gpu/gpu_device.cc:916] 0: Y Y Y Y N N N N I tensorflow/core/common_runtime/gpu/gpu_device.cc:916] 1: Y Y Y Y N N N N I tensorflow/core/common_runtime/gpu/gpu_device.cc:916] 2: Y Y Y Y N N N N I tensorflow/core/common_runtime/gpu/gpu_device.cc:916] 3: Y Y Y Y N N N N I tensorflow/core/common_runtime/gpu/gpu_device.cc:916] 4: N N N N Y Y Y Y I tensorflow/core/common_runtime/gpu/gpu_device.cc:916] 5: N N N N Y Y Y Y I tensorflow/core/common_runtime/gpu/gpu_device.cc:916] 6: N N N N Y Y Y Y I tensorflow/core/common_runtime/gpu/gpu_device.cc:916] 7: N N N N Y Y Y Y I tensorflow/core/common_runtime/gpu/gpu_device.cc:975] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla M40 24GB, pci bus id: 0000:04:00.0) I tensorflow/core/common_runtime/gpu/gpu_device.cc:975] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla M40 24GB, pci bus id: 0000:05:00.0) I tensorflow/core/common_runtime/gpu/gpu_device.cc:975] Creating TensorFlow device (/gpu:2) -> (device: 2, name: Tesla M40 24GB, pci bus id: 0000:08:00.0) I tensorflow/core/common_runtime/gpu/gpu_device.cc:975] Creating TensorFlow device (/gpu:3) -> (device: 3, name: Tesla M40 24GB, pci bus id: 0000:09:00.0) I tensorflow/core/common_runtime/gpu/gpu_device.cc:975] Creating TensorFlow device (/gpu:4) -> (device: 4, name: Tesla M40 24GB, pci bus id: 0000:83:00.0) I tensorflow/core/common_runtime/gpu/gpu_device.cc:975] Creating TensorFlow device (/gpu:5) -> (device: 5, name: Tesla M40 24GB, pci bus id: 0000:84:00.0) I tensorflow/core/common_runtime/gpu/gpu_device.cc:975] Creating TensorFlow device (/gpu:6) -> (device: 6, name: Tesla M40 24GB, pci bus id: 0000:87:00.0) I tensorflow/core/common_runtime/gpu/gpu_device.cc:975] Creating TensorFlow device (/gpu:7) -> (device: 7, name: Tesla M40 24GB, pci bus id: 0000:88:00.0) Creating vocab... After first pass of data, max word length is: 21 Token count: train 929589, val 73760, test 82430 Loading vocab... Word vocab size: 10001, Char vocab size: 51 Reshaping tensors... Traceback (most recent call last): File "main.py", line 66, in tf.app.run() File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 44, in run _sys.exit(main(_sys.argv[:1] + flags_passthrough)) File "main.py", line 57, in main data_dir=FLAGS.data_dir) File "/home/danish/trycode/lstm-char-cnn-tensorflow-master/models/LSTMTDNN.py", line 78, in init self.loader = BatchLoader(self.data_dir, self.dataset_name, self.batch_size, self.seq_length, self.max_word_length) File "/home/danish/trycode/lstm-char-cnn-tensorflow-master/batch_loader.py", line 49, in init data = data[: batch_size * seq_length * math.floor(length / (batch_size * seq_length))] TypeError: slice indices must be integers or None or have an index method

Jun 29 '17 16:06 sdabuk

The version of numpy is higher than we need. Degrade it to 1.11.0 will make the problem solved. Can use the following instruction: sudo pip install -U numpy==1.11.0