FlowTorch

FlowTorch: Safe and Performant Scientific Computing Library

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Todo

• Add Tensor::new method to create a Tensdor from data
• Fix shape similar to PyTorch
• Provide default contiguous layout - C type (Row Major)
• Implement view and reshape in Layout
• Add Proper Error Handling (https://github.com/dtolnay/thiserror)
• Add Arc and Rw::Lock for Storage in Tensor
• Implement Display for Tensor to print the matrix
• Implement Indexing which return a tensor
• Refactor indexing
• Add tuple with range indexing
• Fix Pretty Printing of Tensor
• Fix Display with PrintOptions
• Add I32 data type
• Add Baisc Docs for Tensor
• Add Tests for Narrow and Squeeze,
• Add macros and optimze code for ops
• Add Basic Ops to Tensor along with Dotproduct
• Add to_dtype method to convert the data type
• Add CUDA Device support
• Add to_device method support for converting the device of Tensor
• Add Tensor.to_vec methods, to get different dim vectors
• Fix select_index method
• Support Fotran Memory layout (colum Major)
• Study Torch7 Library and how Storage, Tensor is implemented

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Future Todo

• flowtorch-nn crate for Neural Net Utilities and Layers
• Inference MNIST
• Inference ImageNet Model
• Inference BERT/LLM's
• Add basic autograd functionality
• Train and Test a simple MNIST example