Comments (4)
以及钉钉群的二维码过期吗,能否麻烦更新一下
二维码已经更新了
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以及钉钉群的二维码过期吗,能否麻烦更新一下
from tinyneuralnetwork.
模型在int8 PTQ后精度下降很多,请问现在支持int16 activation吗,谢谢
Int16量化我们是支持的(详见 #47 ),但是一般来说后端的实现还不太成熟,可能导致模型推理要比int8慢很多,一般来说还是建议进一步分析是哪些层导致量化的损失,然后在转换时跳过这些层的量化。
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好的,十分感谢
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Related Issues (20)
- [converter] map gather(+reshape) ops with seperate consecutive indices to split(unpack) ops
- tinynn.converter module not found! HOT 2
- [CI] several tests for modifier failed
- Whether to support pytorch to keras HOT 1
- TransposeConv wrong shape? HOT 15
- change input to INT8 after converting to tflite HOT 2
- [converter] implement torch's `aten::scaled_dot_product_attention` operator HOT 2
- Request: clamp would be more efficient to go to Bounded Relu than Maximum + Minimum HOT 3
- Do not support PReLU module? HOT 5
- torch.max not working HOT 2
- OneShotChannelPruner results in the miss of some operators HOT 4
- KeyError when executing quantization HOT 5
- 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
- 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
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