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Hi, I'm confused with parameter settings when using multi-scale input
the interpolation layer in PSP module is as follows:
layer {
name: "conv5_3_pool1_interp"
type: "Interp"
b…
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### 🐛 Describe the bug
> input.dim() == 4 INTERNAL ASSERT FAILED at /pytorch/aten/src/ATen/native/mkldnn/Pooling.cpp:201, please report a bug to PyTorch. mkldnn_adaptive_avg_pool2d: Expect 2D input
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There is a package `pooling` which stores everything that can be used independently to process output feature maps coming from backbone. However, embedding layers can utilize different poolings and I …
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Can you please support the instructor models here?
https://github.com/xlang-ai/instructor-embedding
These are arguably the best models for their sizes.
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Is it possible to do the fine tuning quantizing the models and using qlora?
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Hi,
Thank you for open-sourcing the amazing work.
In the `SPHead` module, [the pool_size parameter
er is set to 20, 12.](https://github.com/Andrew-Qibin/SPNet/blob/ac3a6429509dffedd18e0acef3d6ead…
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Respected sir,
I am getting the following error while using your code.
**depth = 20
base_model = 'inception_resnet_v2'
# Choose what attention_module to use: cbam_block / se_block / None
atten…
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**System information**
- Have I written custom code (as opposed to using example directory): yes
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 16.04
- TensorFlow backe…
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感谢您的联邦框架!!非常简洁并且方便移植!!!
不过有一个问题想麻烦您回答,当我将model换成efficientnet-b0,在cifar10数据集上使用qfedavg、fedfv、fedprox时,会出现自始至终loss不变的问题,这是我设定的model
from torch import nn
from flgo.utils.fmodule import FModule
from e…
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when I validate the demo, I got lots of problem, wirte it down, hope it helps:)
2 problems:
1. nsync_cv.h: No such file or directory
2. undefined symbol: _ZTIN10tensorflow8OpKernelE
ch…