TypeError: Failed to convert object of type <type 'list'> to Tensor.

os:redhat7.3 cuda8.0 cudnn6.0 tensorflow_gpu1.3 p100*8 [root@tensorflow cifar10]# python cifar10_multi_gpu_train.py Filling queue with 20000 CIFAR images before starting to train. This will take a few minutes. Traceback (most recent call last): File "cifar10_multi_gpu_train.py", line 277, in tf.app.run() File "/usr/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 48, in run _sys.exit(main(_sys.argv[:1] + flags_passthrough)) File "cifar10_multi_gpu_train.py", line 273, in main train() File "cifar10_multi_gpu_train.py", line 178, in train loss = tower_loss(scope, image_batch, label_batch) File "cifar10_multi_gpu_train.py", line 78, in tower_loss logits = cifar10.inference(images) File "/home/tensorflow-models/models-master/tutorials/image/cifar10/cifar10.py", line 243, in inference reshape = tf.reshape(pool2, [images.get_shape()[0], -1]) File "/usr/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 2619, in reshape name=name) File "/usr/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 493, in apply_op raise err TypeError: Failed to convert object of type <type 'list'> to Tensor. Contents: [Dimension(128), -1]. Consider casting elements to a supported type.

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https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh

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tensorflow / models