Getting Started

Walk through Tutorial to quickly get started with understanding and using Tensor Comprehensions PyTorch package.
Over 20 examples of various ML layers with TC, including avgpool, maxpool, matmul, matmul - give output buffers and batch-matmul, convolution, strided-convolution, batchnorm, copy, cosine similarity, Linear, Linear + ReLU, group-convolutions, strided group-convolutions, indexing, Embedding (lookup table), small-mobilenet, softmax, tensordot, transpose
Detailed docs on Tensor Comprehensions and integration with PyTorch.

Communication