Comments (2)
peterjc123
commented on May 2, 2024
1
Good question. There are two major reasons that we write our own graph tracer.
- When we wrote this code,
torch.fxwas not open source. - Currently,
torch.fxdoesn't provide the details of the I/O tensors of the operators in the computation graph, thus cannot be used in our pruners.
Once torch.fx meets our needs, we can migrate to using it.
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www516717402
commented on May 2, 2024
1
@peterjc123 Great project. meanwhile Look forward update FX module to this repo.
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Related Issues (20)
- Float model failed to convert to TFLite
- [converter] map gather(+reshape) ops with seperate consecutive indices to split(unpack) ops
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- Whether to support pytorch to keras HOT 1
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- change input to INT8 after converting to tflite HOT 2
- [converter] implement torch's `aten::scaled_dot_product_attention` operator HOT 2
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- how to do Post-training integer quantization with int16 activation HOT 4
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