Tensor Module Overview
Welcome to the nerve centre of GradCore-Tensor. Everything — training, inference, backprop, your optimizer quietly panicking about learning rates — ultimately comes down to operations on Tensor objects. This section documents every corner of the tensor module so you know exactly what's happening under the hood.
Memory
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Tensor Basics
The Tensor struct is the central data structure in GradCore-Tensor. It describes a multi-dimensional array of float values and knows how to index into them correctly, whether the data is contiguous in memory or is a strided view of something else.
Tensor Views
Views are tensors that share memory with another tensor. Changing the data through a view changes the original, and vice versa — because they're the same bytes, just described differently.
Arithmetic
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Activations
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Loss Functions
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