# `ExTorch.Export.Model`

A loaded ExportedProgram model ready for inference.

Contains the computation graph, weight tensors, and input/output mappings.

The `compiled_graph` field holds per-node closures built at `load/1` time
that capture pre-resolved scalar args and tensor input refs, so `forward/2`
is a tight loop over closures instead of re-parsing the graph each call.
`initial_values` holds the pre-built parameter value map so forward
doesn't re-resolve p_*/b_* names on every inference.

# `t`

```elixir
@type t() :: %ExTorch.Export.Model{
  compiled_graph: [{[String.t()], (map() -> any())}],
  device: atom() | {atom(), non_neg_integer()},
  initial_values: map(),
  native_compiled: ExTorch.Export.CompiledGraph.t() | nil,
  param_inputs: [String.t()],
  schema: map(),
  user_inputs: [String.t()],
  weights: %{required(String.t()) => ExTorch.Tensor.t()}
}
```

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*Consult [api-reference.md](api-reference.md) for complete listing*