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Dataflow compiler layer type support #98
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Hi @Parradox27, |
Hi @nadaved1, |
since this is something specific to your nets, I suggest that you'll open a
support ticket in the hailo.ai developer zone.
בתאריך יום ב׳, 10 ביוני 2024 ב-16:01 מאת Parradox27 <
***@***.***>:
… Hi @Parradox27 <https://github.com/Parradox27>, You're right not all ops
are supported, mainly since it's not efficient for the Hailo HW. In most
cases running your graph through a tool like onnx-simplifier can greatly
help. If after this there are still unsupported ops, usually these are
concentrated at the end of the net, you can just run this seperate from
Hailo as these ops has low compute capacity.
Hi @nadaved1 <https://github.com/nadaved1>,
thank you for your reply. I have tried using onnx simplifier, however none
of the unsupported operations have been removed in the nets that I have
tested. Some of them are not concentrated at the end nor the beginning, so
removing them is not an option. You said that those operations are not
efficient on Hailo HW, but not unsupported and since the hailo model zoo
contains models with those operations, there must be a way to generate a
HEF file from them. Without being able to compile our own nets, we will not
be able to proceed with the AI accelerator. I would appreciate any
assistance in this matter.
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Is there a list of all supported ops? so I'll know if my model is supported? Thanks, |
Yes, we have that list in the data flow compiler user guide-
Dataflow Compiler v3.28.0 (hailo.ai)
<https://hailo.ai/developer-zone/documentation/v3-28-0/?sp_referrer=sdk/supported_layers.html>
בתאריך יום ב׳, 23 בספט׳ 2024 ב-18:46 מאת Oak ***@***.***
>:
… Is there a list of all supported ops? so I'll know if my model is
supported?
Also, I'm new to ML. Can you explain why it's not efficient for the Hailo
HW?
Thanks,
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Hi,
I am currently attempting to convert my own CNN models in ONNX to Hailo supported format (HEF). However, many operations that are used in vast majority of my networks are currently not supported, including transpose, reshape or squeeze. Is there any possibility for adding these operations for the dataflow parser? Or is there any plan on doing so in future releases of the software suite? The pretrained models in the zoo do contain these operations, so the AI accelerator must understand them. Thank you for your reply in advance.
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