Einops

Einops 0.8.1 on Ubuntu 24.04 with free maintenance support provided by bCloud. This is a repackaged open source solution, with additional charges applying for extended support. Einops is a Python library designed to simplify tensor operations for deep learning applications. It makes tensor manipulations more readable, efficient, and flexible, helping engineers and researchers implement advanced deep learning algorithms with ease.

• Readable & Maintainable: Instead of confusing index numbers like tensor.permute(0, 3, 1, 2), Einops uses easy to read string patterns such as 'b c h w -> b h w c'.
• Framework: Works across PyTorch, TensorFlow, NumPy, JAX, and more. No need to retype code for different platform.
• Error Prevention: Includes strict checks to help avoid common dimension errors in deep learning.
• High-Performance: Optimised for use with PyTorch torch.compile and other compiled graph framework for faster output.

• Rearrange: Reshape, transpose, squeeze/unsqueeze, stack, and concatenate tensors in a single line.
• Reduce: Combine rearrangement with reduce operations like sum, mean, max, min, and prod.
• Repeat: Repeat or tile elements along existing or new axes.

Core libraries: PyTorch, NumPy, TensorFlow, JAX.
Other supported frameworks: CuPy, Flax, PaddlePaddle, OneFlow, Tinygrad, PyTensor.
Other platforms: Rust create einops-rust and AWS Marketplace deployment for Ubuntu environment.

• Simplifies tensor operation such as reshaping, transposing, and reducing tensors.
• High-performance design suitable with PyTorch, TensorFlow, and JAX.
• Flexible API for easy manipulation of multi-dimensional arrays.
• Optimised for integration into AWS cloud-based deep learning pipelines.