Reference for ultralytics/utils/export/paddle.py
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Summary
function ultralytics.utils.export.paddle.torch2paddle
def torch2paddle(
model: torch.nn.Module,
im: torch.Tensor,
file: Path | str,
metadata: dict | None = None,
prefix: str = "",
) -> str
Export a PyTorch model to PaddlePaddle format using X2Paddle.
Args
| Name | Type | Description | Default |
|---|---|---|---|
model | torch.nn.Module | The PyTorch model to export. | required |
im | torch.Tensor | Example input tensor for tracing. | required |
file | Path | str | Source model path used to derive the output directory. | required |
metadata | dict | None | Optional metadata saved as metadata.yaml. | None |
prefix | str | Prefix for log messages. | "" |
Returns
| Type | Description |
|---|---|
str | Path to the exported _paddle_model directory. |
Source code in ultralytics/utils/export/paddle.py
View on GitHubdef torch2paddle(
model: torch.nn.Module,
im: torch.Tensor,
file: Path | str,
metadata: dict | None = None,
prefix: str = "",
) -> str:
"""Export a PyTorch model to PaddlePaddle format using X2Paddle.
Args:
model (torch.nn.Module): The PyTorch model to export.
im (torch.Tensor): Example input tensor for tracing.
file (Path | str): Source model path used to derive the output directory.
metadata (dict | None): Optional metadata saved as ``metadata.yaml``.
prefix (str): Prefix for log messages.
Returns:
(str): Path to the exported ``_paddle_model`` directory.
"""
assert not IS_JETSON, "Jetson Paddle exports not supported yet"
from ultralytics.utils.checks import check_requirements
check_requirements(
(
"paddlepaddle-gpu>=3.0.0,<3.3.0" # pin <3.3.0 https://github.com/PaddlePaddle/Paddle/issues/77340
if torch.cuda.is_available()
else "paddlepaddle==3.0.0" # pin 3.0.0 for ARM64
if ARM64
else "paddlepaddle>=3.0.0,<3.3.0", # pin <3.3.0 https://github.com/PaddlePaddle/Paddle/issues/77340
"x2paddle",
)
)
import x2paddle
from x2paddle.convert import pytorch2paddle
LOGGER.info(f"\n{prefix} starting export with X2Paddle {x2paddle.__version__}...")
file = Path(file)
f = str(file).replace(file.suffix, f"_paddle_model{os.sep}")
pytorch2paddle(module=model, save_dir=f, jit_type="trace", input_examples=[im]) # export
if metadata:
YAML.save(Path(f) / "metadata.yaml", metadata) # add metadata.yaml
return f
📅 Created 0 days ago ✏️ Updated 0 days ago