I succesfully converted my xception based onnx model to dlc.
When I use snpe-net-run to test the model on my S845 phone with "gpu", it just showing the message that:
"error_message=Layer parameters combination is invalid in GPU Layer exit_flow_block2_separable_conv1_depthwise: input depth must be divisible by 4 * number of groups; error_component=GPU Runtime;"
I'm a little confused about the message's definition.
For that separable convolution layer: my input channel number is 1024, and the group num is 1024, too.
The output channel num of the depthwise convolution is 1536.
I don't quite get depth limitation described by the message.
Can someone help explaning it?
(my snpe version is 18.104.22.168)