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Sep 25, 2025
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Update using-executorch-export docs #14552

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14 changes: 12 additions & 2 deletions docs/source/using-executorch-export.md
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Expand Up @@ -141,7 +141,6 @@ delegate_external_constants_pass_unlifted(
exported_program = export(tagged_module, inputs, dynamic_shapes=dynamic_shapes)
executorch_program = to_edge_transform_and_lower(
exported_program,
transform_passes = [partial_function],
partitioner = [XnnpackPartitioner()]
).to_executorch()
```
Expand Down Expand Up @@ -184,6 +183,7 @@ For more complex use cases, dynamic shape specification allows for mathematical
Before integrating the runtime code, it is common to test the exported model from Python. This can be used to evaluate model accuracy and sanity check behavior before moving to the target device. Note that not all hardware backends are available from Python, as they may require specialized hardware to function. See the specific backend documentation for more information on hardware requirements and the availablilty of simulators. The XNNPACK delegate used in this example is always available on host machines.

```python
import torch
from executorch.runtime import Runtime

runtime = Runtime.get()
Expand All @@ -194,7 +194,17 @@ method = program.load_method("forward")
outputs = method.execute([input_tensor])
```

Pybindings currently does not support loading program and data. To run a model with PTE and PTD components, please use the [Extension Module](extension-module.md). There is also an E2E demo in [executorch-examples](https://github.com/meta-pytorch/executorch-examples/tree/main/program-data-separation).
To run a model with program and data separated, please use the [ExecuTorch Module pybindings](https://github.com/pytorch/executorch/blob/main/extension/pybindings/README.md).
```python
import torch
from executorch.extension.pybindings import portable_lib

input_tensor = torch.randn(1, 3, 32, 32)
module = portable_lib._load_for_executorch("model.pte", "model.ptd")
outputs = module.forward([input_tensor])
```

There is also an E2E demo in [executorch-examples](https://github.com/meta-pytorch/executorch-examples/tree/main/program-data-separation).

For more information, see [Runtime API Reference](executorch-runtime-api-reference.md).

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