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Showing content from https://github.com/torch/torch7 below:

GitHub - torch/torch7: http://torch.ch

Torch is not in active development. The functionality provided by the C backend of Torch, which are the TH, THNN, THC, THCUNN libraries is actively extended and re-written in the ATen C++11 library (source, mirror). ATen exposes all operators you would expect from torch7, nn, cutorch, and cunn directly in C++11 and includes additional support for sparse tensors and distributed operations. It is to note however that the API and semantics of the backend libraries in Torch-7 are different from the semantice provided by ATen. For example ATen provides numpy-style broadcasting while TH* dont. For information on building the forked Torch-7 libraries in C, refer to "The C interface" in pytorch/aten/src/README.md.

Torch7 community support can be found at the following locations. As of 2019, the Torch-7 community is close to non-existent.

• Questions, Support, Install issues: Google groups
• Reporting bugs: torch7 nn cutorch cunn optim threads
• Hanging out with other developers and users (strictly no install issues, no large blobs of text): Gitter Chat

Torch is the main package in Torch7 where data structures for multi-dimensional tensors and mathematical operations over these are defined. Additionally, it provides many utilities for accessing files, serializing objects of arbitrary types and other useful utilities.

• Tensor Library
  • Tensor defines the all powerful tensor object that provides multi-dimensional numerical arrays with type templating.
  • Mathematical operations that are defined for the tensor object types.
  • Storage defines a simple storage interface that controls the underlying storage for any tensor object.
• File I/O Interface Library
  • File is an abstract interface for common file operations.
  • Disk File defines operations on files stored on disk.
  • Memory File defines operations on stored in RAM.
  • Pipe File defines operations for using piped commands.
  • High-Level File operations defines higher-level serialization functions.
• Useful Utilities
  • Timer provides functionality for measuring time.
  • Tester is a generic tester framework.
  • CmdLine is a command line argument parsing utility.
  • Random defines a random number generator package with various distributions.
  • Finally useful utility functions are provided for easy handling of torch tensor types and class inheritance.

• Community packages
• Torch Blog
• Torch Slides

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