TypeError: bottleneck() argument after ** must be a mapping, not tuple

[Ultraopxt]

I run :python demo_graspRGD.py --net res50 --dataset grasp, and got an error like :

Traceback (most recent call last):
File "demo_graspRGD.py", line 197, in
tag='default', anchor_scales=[8, 16, 32])
File "/content/grasp_multiObject_multiGrasp/tools/../lib/nets/network.py", line 306, in create_architecture
rois, cls_prob, bbox_pred = self.build_network(sess, training)
File "/content/grasp_multiObject_multiGrasp/tools/../lib/nets/resnet_v1.py", line 155, in build_network
scope=self._resnet_scope)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py", line 207, in resnet_v1
net = resnet_utils.stack_blocks_dense(net, blocks, output_stride)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 183, in func_with_args
return func(*args, **current_args)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_utils.py", line 215, in stack_blocks_dense
net = block.unit_fn(net, rate=1, **unit)
TypeError: bottleneck() argument after ** must be a mapping, not tuple

[Soofiyan]

Use google Colaboratory and install tensorflow versions 1.13.2 or more. If your device does not have Cuda installed just use google Colaboratory.

[Ultraopxt]

Use google Colaboratory and install tensorflow versions 1.13.2 or more. If your device does not have Cuda installed just use google Colaboratory.

Thanks

[fort745]

I'm running into the same problem on my computer, are there any other workarounds besides google colab?

[siatlpl]

Use google Colaboratory and install tensorflow versions 1.13.2 or more. If your device does not have Cuda installed just use google Colaboratory.

According to the method you said, I installed tensorflow=1.4.1, but it still did not solve

[ItsMeTheBee]

Same here, would appreciate any help =)