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### 🚀 The feature, motivation and pitch
I'm working on applications that must run locally in resource-limited HW. Threrefore, quantization becomes essential. Such applications need from multimodal vi…
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Hi Blaz,
First of, thank you for the open-access framework. I tested already some of the architecture on test data and produces great results. I was wondering whether I could pick your brain regard…
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Hi,
I am looking into your code. But it seems that in `models.py`, the `self.multi_head_att_layers`(self-attention) and `self.relation_attention_gcns`(cross-KG attention) use the same adjacency mat…
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[Scalable Diffusion Models with Transformers](https://arxiv.org/pdf/2212.09748)
Due to the remarkable achievements of Google AlphaFold 3, it also uses DiT, which combines Diffusion and Transformers…
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Hi there. Thanks for the great library!
I have one issue regarding the usage of Bert-based models. I trained different models finetuning them on my custom dataset (roberta, luke, deberta, xlm-rober…
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# Multi-head self-attention output (`tf.keras.layers.MultiHeadAttention `).
attn_output = self.mha(
query=x, # Query Q tensor.
value=x, # Value V tensor.
key=x, # Ke…
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Hi，I am currently working on the model you have described. While reviewing the related documentation, I have encountered some questions regarding StageTwo, "Multi-View Knowledge Integration." Specific…
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## To-do
다음의 섹션에 대해 스터디한 내용을 정리해보기!
- [x] attention 이란?
- [x] self-attention 이란?
- [x] 3.2.1: Scaled Dot-Product Attention
- [x] 3.2.3: Multi-Head Attention
- [x] 3.2.4: Applications of Attenti…
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Hi bytedance,
I was trying to reproduce the evaluation result of Cityscapes in the paper (test only table 2).
I have done the necessary setup.
When I try to run > python train_net.py \
--co…
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**/tmp/tmppngxpwds.obj
Traceback (most recent call last):**
File "/home/jkx/anaconda3/envs/InstantMesh/lib/python3.10/site-packages/gradio/queueing.py", line 536, in process_events
response =…