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### Feature request
Support for GmP (this = as applied to the structure (naming) of the original OpenAI/CLIP model), i.e.:
```
"Normal" CLIP MLP (multi-layer perceptron):
(mlp): Sequential(
…
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Is there currently a way to use MLP without applying the LayerNorm? What would be the best way to implement this? Thanks!
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**Description:** Analytics team preparing for R3/MLP analytics. Primary tasks for this are tracked in the analytics Jira queue, but also represented on this board for context and overlap with Redesign…
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HI, Getting the below error while using the late_fusion_detection.pth for inference.
Traceback (most recent call last):
File "C:\Users\manan\Desktop\projects\MMFusion-IML\inference.py", line 48,…
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https://github.com/tidymodels/brulee
@mitchellmanware It looks like converting input dataset into torch tensors then fit multilayer perceptron. [Tidymodels](https://www.tidymodels.org) can use this…
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step1
pretrain_projector_image_encoder.sh
step2
pretrain_projector_video_encoder.sh
step3
finetune_dual_encoder.sh
step4
eval/vcgbench/inference/run_ddp_inference.sh
step5
eval/vcgbench/gpt_e…
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### System Info
GPU Name: NVIDIA A800
TensorRT-LLM: 0.10.0
Nvidia Driver: 535.129.03
OS: Ubuntu 22.04
triton-inference-server backend:tensorrtllm_backend
### Who can help?
_No response_
### I…
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hello
You are in figure 2.architecture of cumo.cumo companies sparse top-k moe blocks into the clip vision encoder and vision-language MLP connector. thereby improving the multimodal LLM capabilitie…
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Hi,
Your paper indicates that the MLP layers are shared. However, I can't seem to understand where are you doing that in the code. Do they share weights and biases? How? They look to me like a reg…