Language support for Tera (.tera) — a tensor algebra & neural network DSL.
Syntax highlighting, diagnostics, and IntelliSense powered by a built-in language server.
Features
- Syntax highlighting for tensors, models, functions, and control flow
- Diagnostics — type errors and undefined names reported as you type
- IntelliSense — completions for builtins, tensor methods, and modules
- Snippets for common patterns (models, layers, training loops)
- Bracket matching, auto-indent, and comment toggling
Example
x = tensor([[1, 2], [3, 4]])
w = randn([2, 3])
y = (x @ w).relu()
model MLP(input: int, hidden: int, output: int):
fc1 = Linear(input, hidden)
fc2 = Linear(hidden, output)
forward (x: Tensor) -> Tensor:
x = fc1(x).relu()
return fc2(x)
net = MLP(2, 4, 1)
print(net(randn([8, 2])).shape)
Requirements
VS Code ^1.94.0. The extension activates automatically when you open a .tera file.