-
-
Layer normalization is available in tensorflow https://www.tensorflow.org/api_docs/python/tf/keras/layers/LayerNormalization
It is not part of the tflite supported ops
https://github.com/tensorflow/…
-
## Feature Description
Transformer의 Attention 이후 수행되는 Residual Connection 기능을 구현하고자 합니다.
추가적으로 이 단계에서 Layer Normalization도 함께 수행되기에, 시간이 된다면 이 부분도 같이 맡아보겠습니다.
## Motivation and Context
이 단계를…
-
Hello,
I am confused about why you did not use Batch Normalization or Instance Normalization for your architecture?
I do some experiment about the Normalization layer, I add Instance Normalization …
-
Kind of issue: Feature development
Issue described: We have a successful implementation of a Ternary replacement for Dense layers. The metrics are not quite what we want on some problems.
One po…
-
Hello.
I find the implementation of TransformerEncoderBlock in unetr_pytorch/utils/transformer.py is different from the code in the Paper "UNETR: Transformers for 3D Medical Image Segmentation".
Spe…
-
![norm](https://github.com/google/flax/assets/19753743/17bebc7b-c78c-4288-b101-258ea6ef7dbf)
`LayerNorm` is understood as normalization the activations by reducing across all non-batch axes. Curren…
-
## Description
After migrating my backend to TensorRT 10, I've noticed that some models are slower with TensorRT-10.
Looks like the issue comes from the mapping on some InstanceNormalization…
-
I have tried a two-tower model (user and query) in a real industrial scenario using contrastive learning. The samples are all actual click samples, and the loss function is InfoNCE. I have a few quest…
-
### 🚀 The feature, motivation and pitch
Hey team, i love building things from scratch, and as i was implementing the LLaMa paper by meta obviously using pytorch i saw that pytorch did not have a nn.r…