Comments (4)
Please see the implementation for fairseq in https://github.com/microsoft/fastseq/blob/main/fastseq/optimizer/fairseq/el_attention_optimizer.py
from fastseq.
Hello, thanks for the implementation of your source code, and I read your code for fairseq (https://github.com/microsoft/fastseq/blob/main/fastseq/optimizer/fairseq/el_attention_optimizer.py).
I find that EL-Attention is implemented on cross attention, but self attention has not much changed. I don't know if I understand it correctly. After reading the paper, I read that GPT2 which does not have cross-attention can speed up too.
Thanks a lot.
from fastseq.
The code I pasted here is EL-Attention for cross attention, similar change could be applied for self attention.
from fastseq.
After reading your code, I have understood the specific operation, thank you for your work and your careful explain
from fastseq.
Related Issues (20)
- Does fastseq support cpu HOT 3
- NMT models speedup abnormally related to batch size HOT 2
- Can the fastseq install on windows? HOT 3
- In which file to read the source code implementation of El-Attention for self-attention HOT 1
- EL-attention GPT-2 HOT 2
- Running error with PyTorch 1.12.1 HOT 2
- fairseq/transformers unit test modify local environment HOT 3
- Transformers unit tests failure
- ACTION REQUIRED: Microsoft needs this private repository to complete compliance info
- RuntimeError: CUDA error: no kernel image is available for execution on the device HOT 7
- ModuleNotFoundError: No module named 'fastseq.models' HOT 2
- fairseq eval_lm HOT 2
- Does it support Tensorflow 2? HOT 3
- Any end-end inference example with Google Colab & HuggingFace HOT 2
- Does it support model seq2seq with encoder, and decoder base on lstm, bi-lstm? HOT 2
- Support for ONNX models & INT8 quantization HOT 2
- Support for HF's transformers 3.1+ HOT 6
- Support for Hugging Face's PEGASUS Model HOT 6
- Support for current fairseq 0.10.2 HOT 13
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