How do you implement per-core tensor broadcasting in TPU systems

Question

Can i know How do you implement per-core tensor broadcasting in TPU systems?

Answer 1

You can implement per-core tensor broadcasting in TPU systems by utilizing tf.distribute.TPUStrategy for automatic tensor distribution and ensuring proper shape alignment during broadcasting across TPU cores.

Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• TPUStrategy allows for distributing tensors across multiple TPU cores, effectively implementing per-core broadcasting.

• Broadcasting is handled automatically as part of TensorFlow's distributed training, ensuring that tensors are aligned across cores.

• The model is trained in a distributed manner with each TPU core processing portions of the dataset.

Hence, with TPUStrategy, per-core tensor broadcasting is seamlessly handled to ensure efficient distributed training on TPU systems.