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rknn-toolkit2 version: 2.0.0b0+9bab5682
--> Config model
done
--> Loading model
I It is recommended onnx opset 19, but your onnx model opset is 11!
I Loading : 100%|█████████████████████████████…
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**Describe the bug**
Hi, I was converting CenterNet([CenterNet HourGlass104 512x512](centernet_hg104_512x512_coco17_tpu-8) from Tensorflow Object Detection API(https://github.com/tensorflow/models/bl…
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class Conv(nn.Module):
"""Standard convolution with args(ch_in, ch_out, kernel, stride, padding, groups, dilation, activation)."""
default_act = nn.SiLU() # -------------------------是这里吗?--…
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batchnorm(bn) is very popular in CV, almost every conv op will be followed by bn. I see [layernorm](https://triton-lang.org/master/getting-started/tutorials/05-layer-norm.html#) in triton achieved bes…
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I plan to use a custom trained model in a local environment without network access.
What's the best way to inference saved model -via
`model = torch.hub.load(...)` or
`model = attempt_load('…
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**Describe the bug**
Context parallel does not work in some cases, such as pretrain llama-34b with 64 A800 GPUs and seqlen>=32768. **But using megatron-lm directly has no problem with the same conf…
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### 🐛 Describe the bug
There is a bug in `optimize_for_mobile` with latest torch version and the following nightly versions. Please look at this [discussion](https://discuss.pytorch.org/t/torch-uti…
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One of the issues with Fourier is over sampling in the lower frequency domains.
An alternative might be wavelets, which would handle over sampling in the low frequency area, and would give you the ch…
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Hi, hanrui, I am very interested in the ideas of this paper, but I have a question as following:
In general, a complete model quantization includes
1. Prepare a pretrained model;
2. Fuse the batch…
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Dear Ranftl,
Your new small model was converted from Pytorch to TFlite directly. It seems that this method doesn't need converting to onnx and PB first. Can you please elaborate on how to realize i…