onnx.numpy_helper

from_array(arr[, name])	Converts a numpy array to a tensor def.
from_dict(dict[, name])	Converts a Python dictionary into a map def.
from_list(lst[, name, dtype])	Converts a list into a sequence def.
from_optional(opt[, name, dtype])	Converts an optional value into a Optional def.
to_array(tensor[, base_dir])	Converts a tensor def object to a numpy array.
to_dict(map)	Converts a map def to a Python dictionary.
to_list(sequence)	Converts a sequence def to a Python list.
to_optional(optional)	Converts an optional def to a Python optional.

array

onnx.numpy_helper.from_array(arr: ndarray, name: Optional[str] = None) → TensorProto

Converts a numpy array to a tensor def.

Inputs:

arr: a numpy array. name: (optional) the name of the tensor.

Returns:

the converted tensor def.

Return type:

TensorProto

onnx.numpy_helper.to_array(tensor: TensorProto, base_dir: str = '') → ndarray

Converts a tensor def object to a numpy array.

Inputs:

tensor: a TensorProto object. base_dir: if external tensor exists, base_dir can help to find the path to it

Returns:

the converted array.

Return type:

arr

sequence

onnx.numpy_helper.to_list(sequence: SequenceProto) → List[Any]

Converts a sequence def to a Python list.

Inputs:

sequence: a SequenceProto object.

Returns:

the converted list.

Return type:

list

onnx.numpy_helper.from_list(lst: List[Any], name: Optional[str] = None, dtype: Optional[int] = None) → SequenceProto

Converts a list into a sequence def.

Inputs:

lst: a Python list name: (optional) the name of the sequence. dtype: (optional) type of element in the input list, used for specifying

sequence values when converting an empty list.

Returns:

the converted sequence def.

Return type:

SequenceProto

dictionary

onnx.numpy_helper.to_dict(map: MapProto) → Dict[Any, Any]

Converts a map def to a Python dictionary.

Inputs:

map: a MapProto object.

Returns:

the converted dictionary.

Return type:

dict

onnx.numpy_helper.from_dict(dict: Dict[Any, Any], name: Optional[str] = None) → MapProto

Converts a Python dictionary into a map def.

Inputs:

dict: Python dictionary name: (optional) the name of the map.

Returns:

the converted map def.

Return type:

MapProto

optional

onnx.numpy_helper.to_optional(optional: OptionalProto) → Optional[Any]

Converts an optional def to a Python optional.

Inputs:

optional: an OptionalProto object.

Returns:

the converted optional.

Return type:

opt

onnx.numpy_helper.from_optional(opt: Optional[Any], name: Optional[str] = None, dtype: Optional[int] = None) → OptionalProto

Converts an optional value into a Optional def.

Inputs:

opt: a Python optional name: (optional) the name of the optional. dtype: (optional) type of element in the input, used for specifying

optional values when converting empty none. dtype must be a valid OptionalProto.DataType value

Returns:

the converted optional def.

Return type:

optional

tools

onnx.numpy_helper.convert_endian(tensor: TensorProto) → None

Call to convert endianess of raw data in tensor.

Parameters:

tensor (TensorProto) – TensorProto to be converted.

onnx.numpy_helper.combine_pairs_to_complex(fa: Sequence[int]) → List[complex]