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how to fuse QuantizeLinear Node with my custom op when convert onnx to trtengine
I find that the QuantizeLinear will be called like:
it cost long time, How to fuse it with my custom kernel before QuantizeLinear node. the compute in QuantizeLinear is what
like:
my_custom_op - Q -- DQ --- Conv. fuse to => my_custom_op_with_Q --- (DQ_Conv)
1.what the format of QuantizeLinear's output in this image
2.the compute is QuantizeLinear Kernel is that clamp((input*scale).round, -127, 127) ?
The text was updated successfully, but these errors were encountered:
how to fuse QuantizeLinear Node with my custom op when convert onnx to trtengine
I find that the QuantizeLinear will be called like:
it cost long time, How to fuse it with my custom kernel before QuantizeLinear node. the compute in QuantizeLinear is what
like:
my_custom_op - Q -- DQ --- Conv. fuse to => my_custom_op_with_Q --- (DQ_Conv)
1.what the format of QuantizeLinear's output in this image
2.the compute is QuantizeLinear Kernel is that clamp((input*scale).round, -127, 127) ?
The text was updated successfully, but these errors were encountered: