Expand description
Axonml Tensor - N-Dimensional Array for Machine Learning
§File
crates/axonml-tensor/src/lib.rs
§Author
Andrew Jewell Sr - AutomataNexus
§Updated
March 8, 2026
§Disclaimer
Use at own risk. This software is provided “as is”, without warranty of any kind, express or implied. The author and AutomataNexus shall not be held liable for any damages arising from the use of this software.
Re-exports§
pub use lazy::LazyOp;pub use lazy::LazyTensor;pub use shape::Shape;pub use shape::Strides;pub use tensor::Tensor;pub use creation::*;
Modules§
- creation
- Tensor Creation Functions
- lazy
- Lazy Tensor - Deferred Computation with Graph Optimization
- ops
- Tensor Operations - Mathematical and Structural Operations
- prelude
- Convenient imports for common usage.
- shape
- Shape and Strides - Tensor Dimension Management
- sparse
- Sparse Tensor Support
- tensor
- Tensor - Core N-Dimensional Array Type
- view
- Views and Slicing - Tensor Indexing Operations
Enums§
- DType
- Runtime representation of tensor data types.
- Device
- Represents a compute device where tensors can be allocated and operations executed.
- Error
- The main error type for Axonml operations.
Type Aliases§
- Result
- A specialized Result type for Axonml operations.