Junxian Ye
Junxian Ye
**Describe the issue**: It seems that NNI QAT_Quantizer doesn't support PyTorch `DataParallel` correctly, there are some suggestions for NNI to support `DataParallel` API. ## 1. Assign buffer variables with the...
# 错误描述 将onnx resize op转换成tengine interp op之后tengine interp op attributes数值不正确。 待转换的onnx模型:  转换后的tengine interp op attributes:  可以发现转换后的tengine interp op的`output_width`与`width_scale`均出现错误。预期的`output_width`是20,而预期的`width_scale`是2。 # 环境 ``` python == 3.8.12 pytorch == 1.10.0 tengine:...
Does Lingvo distributed training support RDMA? If support, how can I setup ib support?
hope to support "aten::zeros" and "aten::lstm" ops, thanks!
How does torchstat compute total memory for a model? For example, I use torchstat to analyze mobilenet and get the following results: ``` Total params: 4,231,976 -------------------------------------- Total memory: 38.48MB...
If my target is to get a full quantization model, does it necessary to do weight quantization reconstruction before full quantization reconstruction as the `main_imagenet.py` shown? Can I skip weight...