Added LSTM Model in JAX from scratch #4690
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This commit adds a basic LSTM cell and sequence module implemented using Flax and JAX. Includes a dummy input test script for demonstration. The implementation is modular and can be reused/modified for other sequence modeling tasks.
This commit adds a basic LSTM cell and sequence module implemented using Flax and JAX. It also Includes a dummy input test script for demonstration. The implementation is modular and can be reused/modified for other sequence modeling tasks.
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This PR introduces a new LSTM (Long Short-Term Memory) model implementation from scratch using JAX within the examples/ directory.
Motivation:
There was previously no basic LSTM implementation in Flax using pure JAX APIs. This example serves as an educational reference for those interested in understanding how to build an LSTM layer manually in JAX and integrate it with Flax-style modeling.
In this:
LSTM_JAX.py: Manual implementation of an LSTM model using JAX primitives.
LSTM_TestCase.py: A simple test case that verifies input-output dimensions and prints sample outputs.
init.py: To ensure module accessibility.
This can be especially useful for beginners or researchers looking to build custom RNN models using Flax + JAX.
Fixes : (N/A – This is a new contribution not tied to an open issue.)