lamp-sten
Packages
package lamp
Lamp provides utilities to build state of the art machine learning applications
Lamp provides utilities to build state of the art machine learning applications
=Overview= Notable types and packages:
- lamp.STen is a memory managed wrapper around aten.ATen, an off the heap, native n-dimensionl array backed by libtorch.
- lamp.autograd implements reverse mode automatic differentiation.
- lamp.nn contains neural network building blocks, see e.g. lamp.nn.Linear.
- lamp.data.IOLoops implements a training loop and other data related abstractions.
- lamp.knn implements k-nearest neighbor search on the CPU and GPU
- lamp.umap.Umap implements the UMAP dimension reduction algorithm
- lamp.onnx implements serialization of computation graphs into ONNX format
- lamp.io contains CSV and NPY readers
===How to get data into lamp=== Use one of the file readers in lamp.io or one of the factories in lamp.STen$.
===How to define a custom neural network layer=== See the documentation on lamp.nn.GenericModule
===How to compose neural network layers=== See the documentation on lamp.nn
===How to train models=== See the training loops in lamp.data.IOLoops