Comments (4)
from tinyneuralnetwork.
I think it is probably because torch.sum is unsupported, but I'm not sure. Would you please upload the model so as we could look into it.
from tinyneuralnetwork.
Thank you for your reply, but TFLite seems to support the sum operator.
the model I uploaded is obtained with the above code.
model.zip
Looking forward to your reply.
from tinyneuralnetwork.
Thank you for your reply, but TFLite seems to support the sum operator. the model I uploaded is obtained with the above code. model.zip
Looking forward to your reply.
I mean the pruner module doesn't support that op.
from tinyneuralnetwork.
Related Issues (20)
- PyTorch 转 TFLite 使用 int8 量化 HOT 4
- Does tinynn support following int16 quantization? HOT 1
- jit.trace succeed but tinynn tracer failed HOT 1
- It became larger after converting to tflite model HOT 4
- how to do Post-training integer quantization with int16 activation HOT 4
- unnecessary float() variables cause quantization to fail. HOT 7
- aten::index nodes take multiple indices in PyTorch model but cause an error when trying to convert to TFLite HOT 1
- aten::repeat_interleave is considered an unsupported Tensor and causing an error when trying to convert to TFLite HOT 2
- convert model error HOT 5
- 请问下 转tflite 模型能支持签名吗? HOT 9
- [PTQ Converter] 'Linear+relu' module conversion failed HOT 9
- [quantizer] activation nodes that was used multiple times will not work with OP fusion
- [converter] aten::pad with mode="circular"
- [converter] batchnorm + conv fusion
- [Converter] TFLite size is larger than expected HOT 7
- ONNX进行QAT报错 HOT 3
- OneShot Pruning Tensor Size Mismatch Error HOT 4
- 关于模型中使用了nn.Parameter()会导致转TFlite会失败的问题 HOT 5
- Huge loss when applying QAT on YOLOv8n HOT 40
- ViT PTQ Error HOT 2
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from tinyneuralnetwork.