Problem running with tensorflow 1.3

[bupticybee]

I have my server installed tensorflow and successfully compiled and installed roi-pooling
however when I try to run the minimal demo, I get the following error:
Anyone know what's going on here?

InvalidArgumentError: No OpKernel was registered to support Op 'RoiPooling' with these attrs. Registered devices: [CPU], Registered kernels:
device='GPU'

[[Node: RoiPooling = RoiPooling[pool_height=2, pool_width=2](Const, Const_1)]]

Caused by op 'RoiPooling', defined at:
File "/home/meta/anaconda3/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/home/meta/anaconda3/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/meta/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py", line 16, in
app.launch_new_instance()
File "/home/meta/anaconda3/lib/python3.6/site-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/home/meta/anaconda3/lib/python3.6/site-packages/ipykernel/kernelapp.py", line 477, in start
ioloop.IOLoop.instance().start()
File "/home/meta/anaconda3/lib/python3.6/site-packages/zmq/eventloop/ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "/home/meta/anaconda3/lib/python3.6/site-packages/tornado/ioloop.py", line 888, in start
handler_func(fd_obj, events)
File "/home/meta/anaconda3/lib/python3.6/site-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/home/meta/anaconda3/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "/home/meta/anaconda3/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "/home/meta/anaconda3/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "/home/meta/anaconda3/lib/python3.6/site-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/home/meta/anaconda3/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "/home/meta/anaconda3/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 235, in dispatch_shell
handler(stream, idents, msg)
File "/home/meta/anaconda3/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "/home/meta/anaconda3/lib/python3.6/site-packages/ipykernel/ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/home/meta/anaconda3/lib/python3.6/site-packages/ipykernel/zmqshell.py", line 533, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/home/meta/anaconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2717, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/home/meta/anaconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2821, in run_ast_nodes
if self.run_code(code, result):
File "/home/meta/anaconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2881, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "", line 5, in
y = roi_pooling(input_const, rois_const, pool_height=2, pool_width=2)
File "/home/meta/anaconda3/lib/python3.6/site-packages/roi_pooling/roi_pooling_ops.py", line 19, in roi_pooling
out = roi_pooling_module.roi_pooling(input, rois, pool_height=pool_height, pool_width=pool_width)
File "", line 40, in roi_pooling
File "/home/meta/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
op_def=op_def)
File "/home/meta/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2630, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/home/meta/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1204, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'RoiPooling' with these attrs. Registered devices: [CPU], Registered kernels:
device='GPU'

[[Node: RoiPooling = RoiPooling[pool_height=2, pool_width=2](Const, Const_1)]]

[huawang123]

Do you have to solve this problem? You can share it to me?

[bupticybee]

@huawang123 Sadly no, however instead of using roi_pooling , i use tf.image.crop_and_resize instead , and it work well in my project https://github.com/bupticybee/Object-detection