Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

error:CUB segmented reduce errorinvalid device function #14

Open
GaHooooo opened this issue Nov 15, 2020 · 1 comment
Open

error:CUB segmented reduce errorinvalid device function #14

GaHooooo opened this issue Nov 15, 2020 · 1 comment

Comments

@GaHooooo
Copy link

thanks for your great job! ! !
but i have some question :
when i train the modelnet40_cls , some error happen:

2020-11-15 20:56:49.388664
Traceback (most recent call last):
File "/home/gahho/anaconda3/envs/sph3dgcn/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1334, in _do_call
return fn(*args)
File "/home/gahho/anaconda3/envs/sph3dgcn/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1319, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "/home/gahho/anaconda3/envs/sph3dgcn/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1407, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InternalError: CUB segmented reduce errorinvalid device function
[[{{node Max}} = Max[T=DT_FLOAT, Tidx=DT_INT32, keep_dims=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](Sum, ArgMax/dimension)]]
[[{{node GroupCrossDeviceControlEdges_0/Adam/value/_82}} = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_7776_GroupCrossDeviceControlEdges_0/Adam/value", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/gahho/SPH3D-GCN/modelnet40_cls/train_modelnet.py", line 376, in
train()
File "/home/gahho/SPH3D-GCN/modelnet40_cls/train_modelnet.py", line 247, in train
train_one_epoch(sess, ops, next_train_element, train_writer)
File "/home/gahho/SPH3D-GCN/modelnet40_cls/train_modelnet.py", line 292, in train_one_epoch
ops['train_op'], ops['loss'], ops['pred']], feed_dict=feed_dict)
File "/home/gahho/anaconda3/envs/sph3dgcn/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 929, in run
run_metadata_ptr)
File "/home/gahho/anaconda3/envs/sph3dgcn/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1152, in _run
feed_dict_tensor, options, run_metadata)
File "/home/gahho/anaconda3/envs/sph3dgcn/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1328, in _do_run
run_metadata)
File "/home/gahho/anaconda3/envs/sph3dgcn/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1348, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InternalError: CUB segmented reduce errorinvalid device function
[[node Max (defined at /home/gahho/SPH3D-GCN/models/SPH3D_modelnet.py:13) = Max[T=DT_FLOAT, Tidx=DT_INT32, keep_dims=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](Sum, ArgMax/dimension)]]
[[{{node GroupCrossDeviceControlEdges_0/Adam/value/_82}} = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_7776_GroupCrossDeviceControlEdges_0/Adam/value", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]

Caused by op 'Max', defined at:
File "/home/gahho/SPH3D-GCN/modelnet40_cls/train_modelnet.py", line 376, in
train()
File "/home/gahho/SPH3D-GCN/modelnet40_cls/train_modelnet.py", line 161, in train
pred, end_points = MODEL.get_model(xyz_pl, training_pl, config=net_config)
File "/home/gahho/SPH3D-GCN/models/SPH3D_modelnet.py", line 42, in get_model
points = normalize_xyz(points)
File "/home/gahho/SPH3D-GCN/models/SPH3D_modelnet.py", line 13, in normalize_xyz
scale = tf.reduce_max(tf.reduce_sum(tf.square(points),axis=-1,keepdims=True),axis=1,keepdims=True)
File "/home/gahho/anaconda3/envs/sph3dgcn/lib/python3.5/site-packages/tensorflow/python/util/deprecation.py", line 488, in new_func
return func(*args, **kwargs)
File "/home/gahho/anaconda3/envs/sph3dgcn/lib/python3.5/site-packages/tensorflow/python/ops/math_ops.py", line 1643, in reduce_max
name=name))
File "/home/gahho/anaconda3/envs/sph3dgcn/lib/python3.5/site-packages/tensorflow/python/ops/gen_math_ops.py", line 4641, in _max
name=name)
File "/home/gahho/anaconda3/envs/sph3dgcn/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/home/gahho/anaconda3/envs/sph3dgcn/lib/python3.5/site-packages/tensorflow/python/util/deprecation.py", line 488, in new_func
return func(*args, **kwargs)
File "/home/gahho/anaconda3/envs/sph3dgcn/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 3274, in create_op
op_def=op_def)
File "/home/gahho/anaconda3/envs/sph3dgcn/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1770, in init
self._traceback = tf_stack.extract_stack()

InternalError (see above for traceback): CUB segmented reduce errorinvalid device function
[[node Max (defined at /home/gahho/SPH3D-GCN/models/SPH3D_modelnet.py:13) = Max[T=DT_FLOAT, Tidx=DT_INT32, keep_dims=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](Sum, ArgMax/dimension)]]
[[{{node GroupCrossDeviceControlEdges_0/Adam/value/_82}} = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_7776_GroupCrossDeviceControlEdges_0/Adam/value", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]

when i set the batch_size=1,it doesn't cause the error,but the result is very bad
i don't know how to fix it
thanks for your reply

@EnyaHermite
Copy link
Owner

The problem might be caused by the tensorflow version you are using. We test the code in Tensorflow 1.12.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants