No OpKernel was registered to support Op 'RoiPoolGrad' with these attrs

[SeanTyco]

I am following the readme training script for the VOC database but I'm running into the following error for the ROI pooling layer:

Traceback (most recent call last):
  File "./faster_rcnn/train_net.py", line 109, in <module>
    restore=bool(int(args.restore)))
  File "./faster_rcnn/../lib/fast_rcnn/train.py", line 396, in train_net
    sw.train_model(sess, max_iters, restore=restore)
  File "./faster_rcnn/../lib/fast_rcnn/train.py", line 144, in train_model
    sess.run(tf.initialize_all_variables())
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 766, in run
    run_metadata_ptr)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 964, in _run
    feed_dict_string, options, run_metadata)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1014, in _do_run
    target_list, options, run_metadata)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1034, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: No OpKernel was registered to support Op 'RoiPoolGrad' with these attrs.  Registered devices: [CPU], Registered kernels:
  device='GPU'; T in [DT_FLOAT]

	 [[Node: gradients/pool_5_grad/RoiPoolGrad = RoiPoolGrad[T=DT_FLOAT, pooled_height=7, pooled_width=7, spatial_scale=0.0625](conv5_3/conv5_3, roi-data/rois, pool_5:1, gradients/fc6/transpose_grad/transpose)]]

Caused by op u'gradients/pool_5_grad/RoiPoolGrad', defined at:
  File "./faster_rcnn/train_net.py", line 109, in <module>
    restore=bool(int(args.restore)))
  File "./faster_rcnn/../lib/fast_rcnn/train.py", line 396, in train_net
    sw.train_model(sess, max_iters, restore=restore)
  File "./faster_rcnn/../lib/fast_rcnn/train.py", line 138, in train_model
    grads, norm = tf.clip_by_global_norm(tf.gradients(loss, tvars), 10)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gradients_impl.py", line 482, in gradients
    in_grads = grad_fn(op, *out_grads)
  File "./faster_rcnn/../lib/roi_pooling_layer/roi_pooling_op_grad.py", line 41, in _roi_pool_grad
    data_grad = roi_pooling_op.roi_pool_grad(data, rois, argmax, grad, pooled_height, pooled_width, spatial_scale)
  File "<string>", line 74, in roi_pool_grad
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 759, in apply_op
    op_def=op_def)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2240, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1128, in __init__
    self._traceback = _extract_stack()

...which was originally created as op u'pool_5', defined at:
  File "./faster_rcnn/train_net.py", line 101, in <module>
    network = get_network(args.network_name)
  File "./faster_rcnn/../lib/networks/factory.py", line 27, in get_network
    return VGGnet_train()
  File "./faster_rcnn/../lib/networks/VGGnet_train.py", line 17, in __init__
    self.setup()
  File "./faster_rcnn/../lib/networks/VGGnet_train.py", line 84, in setup
    .roi_pool(7, 7, 1.0/16, name='pool_5')
  File "./faster_rcnn/../lib/networks/network.py", line 27, in layer_decorated
    layer_output = op(self, layer_input, *args, **kwargs)
  File "./faster_rcnn/../lib/networks/network.py", line 183, in roi_pool
    name=name)[0]
  File "<string>", line 45, in roi_pool
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 759, in apply_op
    op_def=op_def)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2240, in create_op
    original_op=self._default_original_op, op_def=op_def)

InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'RoiPoolGrad' with these attrs.  Registered devices: [CPU], Registered kernels:
  device='GPU'; T in [DT_FLOAT]

	 [[Node: gradients/pool_5_grad/RoiPoolGrad = RoiPoolGrad[T=DT_FLOAT, pooled_height=7, pooled_width=7, spatial_scale=0.0625](conv5_3/conv5_3, roi-data/rois, pool_5:1, gradients/fc6/transpose_grad/transpose)]]

I'm not really sure what this means. Has anyone else run into this issue when training?

My dev environment:
Tensorflow：0.12.1
GPU/CPU：GPU
Python: 2.7.6
Operating System: Ubuntu 14.04

[SeanTyco]

Also, I can run the demo fine but the training is an issue.

[SeanTyco]

Closing, I accidentally installed "tensorflow" instead of "tensorflow-gpu" on the machine.