3 weeks ago - last edited 3 weeks ago
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
Monday
@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).