cancel
Showing results for 
Search instead for 
Did you mean: 

Problem with Extreme switch access when adding a VLAN to a VMAN

Problem with Extreme switch access when adding a VLAN to a VMAN

tooreagen
New Contributor

Hello community!
There was a problem that when a VLAN that was management with IP became a member of VMAN, the management stopped working. How can I extract VLAN0033 from VMAN to access the switch?

 

configure vman VMAN_2590 add ports 9 tagged
configure vman VMAN_2590 add ports 1 cep cvid 33
configure vman VMAN_2590 add ports 2 cep cvid 33
configure vman VMAN_2590 add ports 7 cep cvid 33
configure vlan VLAN0033 ipaddress 172.16.16.92 255.255.255.255.0

 

I.e. everything is OK on the network, but control is lost on this commutator.

System Type: X620-16x
ExtremeXOS version 21.1.1.4

1 REPLY 1

mary564
New Contributor

@tooreagen wrote:

Hello community!
There was a problem that when a VLAN that was management with IP became a member of VMAN, the management stopped working. How can I extract VLAN0033 from VMAN to access the switch?

 

 

configure vman VMAN_2590 add ports 9 tagged
configure vman VMAN_2590 add ports 1 cep cvid 33
configure vman VMAN_2590 add ports 2 cep cvid 33
configure vman VMAN_2590 add ports 7 cep cvid 33
configure vlan VLAN0033 ipaddress 172.16.16.92 255.255.255.255.0

 

 

I.e. everything is OK on the network, but control is lost on this commutator.

System Type: X620-16x
ExtremeXOS version 21.1.1.4


To generate a "Resnet50Bundle" for a Resnet50 ONNX model, you'll typically use a framework like PyTorch or TensorFlow. Here's a general approach and key considerations:

Install PyTorch or TensorFlow, depending on your model's origin. Install the ONNX Runtime library: pip install onnxruntime If using GPU acceleration, install the GPU version: pip install onnxruntime-gpu. 

The ONNX model file (resnet50.onnx) The necessary Python scripts (e.g., for loading the model, preprocessing input, and post-processing output). Any required dependencies (e.g., ONNX Runtime libraries).

GTM-P2G8KFN