dogma.dot

digraph TensorFlow {
    Tensor [shape = "rect"]
    LazyBuffer [shape = "rect"]
    LazyOp [shape = "rect"]
    UOp [shape = "rect"]
    Code [shape = "rect"]
    "<computation>"
    
    Tensor -> LazyBuffer [label = "Forward and backward passes occur here (`tinygrad/function.py`)"];
    LazyBuffer -> LazyOp [label = "Breaking into kernels occurs here (`tinygrad/engine/schedule.py`)"];
    LazyOp -> UOp [label = "Transform kernel code into an LLVM-like IR (`tinygrad/codegen/linearize.py`)"];
    UOp -> Code [label = "Transform IR into C or CUDA code (`tinygrad/renderer/*`)"];
    Code -> "<computation>" [label = "Transform C or CUDA code into machine code and execute it (`tinygrad/runtime/*`)"];
}