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tensor2tensor discussion
tensor2tensor reviews and mentions
- Understand how transformers work by demystifying all the math behind them
PE(1, 3) = cos(1 / 10000^(2*1 / 4)) = cos(1 / 10000^.5) ≈ 1
I also wondered if these formulae were devised with 1-based indexing in mind (though I guess for larger dimensions it doesn't make much difference), as the paper states
> The wavelengths form a geometric progression from 2π to 10000 · 2π
That led me to this chain of PRs - https://github.com/tensorflow/tensor2tensor/pull/177 - turns out the original code was actually quite different to that stated in the paper. I guess slight variations in how you calculate this embedding doesn't affect things too much?
- [P] Why the Original Transformer Figure Is Wrong, And Some Other Interesting Tidbits
The code we used to train and evaluate our models is available at https://github.com/tensorflow/tensor2tensor.
- Why the Original Transformer LLM Figure Is Wrong, and Other Interesting Tidbits
- What Are Transformer Models and How Do They Work?
The visualisation here may be helpful.
https://github.com/tensorflow/tensor2tensor/issues/1591
- [P] Why I quit my lucrative job at Google to start Vectara? (neural search as a service for developers everywhere).
Found relevant code at https://github.com/tensorflow/tensor2tensor + all code implementations here
- [D] Resources for Understanding The Original Transformer Paper
Code for https://arxiv.org/abs/1706.03762 found: https://github.com/tensorflow/tensor2tensor
- Alias-Free GAN
- A note from our sponsor - Stream getstream.io | 23 Dec 2025
Stats
tensorflow/tensor2tensor is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of tensor2tensor is Python.
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