Specifications#
Type Mappings#
NP_TYPE_TO_TENSOR_TYPE#
<<<
import pprint
from onnx.mapping import NP_TYPE_TO_TENSOR_TYPE
pprint.pprint(NP_TYPE_TO_TENSOR_TYPE)
>>>
{dtype('bool'): 9,
dtype('uint8'): 2,
dtype('int8'): 3,
dtype('uint16'): 4,
dtype('int16'): 5,
dtype('float32'): 1,
dtype('int32'): 6,
dtype('int64'): 7,
dtype('float16'): 10,
dtype('uint32'): 12,
dtype('uint64'): 13,
dtype('float64'): 11,
dtype('complex64'): 14,
dtype('complex128'): 15,
dtype('O'): 8}
OP_SET_ID_VERSION_MAP#
<<<
import pprint
from onnx.helper import OP_SET_ID_VERSION_MAP
pprint.pprint(OP_SET_ID_VERSION_MAP)
>>>
{('ai.onnx', 1): 3,
('ai.onnx', 5): 3,
('ai.onnx', 6): 3,
('ai.onnx', 7): 3,
('ai.onnx', 8): 3,
('ai.onnx', 9): 4,
('ai.onnx', 10): 5,
('ai.onnx', 11): 6,
('ai.onnx', 12): 7,
('ai.onnx', 13): 7,
('ai.onnx', 14): 7,
('ai.onnx', 15): 8,
('ai.onnx', 16): 8,
('ai.onnx', 17): 8,
('ai.onnx', 18): 8,
('ai.onnx.ml', 1): 3,
('ai.onnx.ml', 2): 6,
('ai.onnx.ml', 3): 8,
('ai.onnx.preview.training', 1): 7,
('ai.onnx.training', 1): 7}
OPTIONAL_ELEMENT_TYPE_TO_FIELD#
<<<
import pprint
from onnx.mapping import OPTIONAL_ELEMENT_TYPE_TO_FIELD
pprint.pprint(OPTIONAL_ELEMENT_TYPE_TO_FIELD)
>>>
{1: 'tensor_value',
2: 'sparse_tensor_value',
3: 'sequence_value',
4: 'map_value',
5: 'optional_value'}
STORAGE_ELEMENT_TYPE_TO_FIELD#
<<<
import pprint
from onnx.mapping import STORAGE_ELEMENT_TYPE_TO_FIELD
pprint.pprint(STORAGE_ELEMENT_TYPE_TO_FIELD)
>>>
{1: 'tensor_values',
2: 'sparse_tensor_values',
3: 'sequence_values',
4: 'map_values',
5: 'optional_value'}
STORAGE_TENSOR_TYPE_TO_FIELD#
<<<
import pprint
from onnx.mapping import STORAGE_TENSOR_TYPE_TO_FIELD
pprint.pprint(STORAGE_TENSOR_TYPE_TO_FIELD)
>>>
{1: 'float_data',
4: 'int32_data',
6: 'int32_data',
7: 'int64_data',
8: 'string_data',
9: 'int32_data',
11: 'double_data',
12: 'uint64_data',
13: 'uint64_data',
14: 'float_data',
15: 'double_data'}
TENSOR_TYPE_TO_NP_TYPE#
<<<
import pprint
from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE
pprint.pprint(TENSOR_TYPE_TO_NP_TYPE)
>>>
{1: dtype('float32'),
2: dtype('uint8'),
3: dtype('int8'),
4: dtype('uint16'),
5: dtype('int16'),
6: dtype('int32'),
7: dtype('int64'),
8: dtype('O'),
9: dtype('bool'),
10: dtype('float16'),
11: dtype('float64'),
12: dtype('uint32'),
13: dtype('uint64'),
14: dtype('complex64'),
15: dtype('complex128'),
16: dtype('float32')}
TENSOR_TYPE_TO_STORAGE_TENSOR_TYPE#
<<<
import pprint
from onnx.mapping import TENSOR_TYPE_TO_STORAGE_TENSOR_TYPE
pprint.pprint(TENSOR_TYPE_TO_STORAGE_TENSOR_TYPE)
>>>
{1: 1,
2: 6,
3: 6,
4: 6,
5: 6,
6: 6,
7: 7,
8: 8,
9: 6,
10: 4,
11: 11,
12: 12,
13: 13,
14: 1,
15: 11,
16: 4}
Opset Version#
- onnx.defs.get_all_schemas_with_history() List[onnx.onnx_cpp2py_export.defs.OpSchema] #
Return the schema of all existing operators and all versions.
Operators and Functions Schemas#
- onnx.defs.get_schema(*args, **kwargs)#
Overloaded function.
get_schema(op_type: str, max_inclusive_version: int, domain: str = ‘’) -> onnx.onnx_cpp2py_export.defs.OpSchema
Return the schema of the operator op_type and for a specific version.
get_schema(op_type: str, domain: str = ‘’) -> onnx.onnx_cpp2py_export.defs.OpSchema
Return the schema of the operator op_type and for a specific version.
Internal module#
Schema submodule
- class onnx.onnx_cpp2py_export.defs.OpSchema#
Schema of an operator.
- class AttrType(self: onnx.onnx_cpp2py_export.defs.OpSchema.AttrType, value: int)#
Members:
FLOAT
INT
STRING
TENSOR
GRAPH
FLOATS
INTS
STRINGS
TENSORS
GRAPHS
SPARSE_TENSOR
SPARSE_TENSORS
TYPE_PROTO
TYPE_PROTOS
- __index__(self: onnx.onnx_cpp2py_export.defs.OpSchema.AttrType) int #
- __init__(self: onnx.onnx_cpp2py_export.defs.OpSchema.AttrType, value: int) None #
- __int__(self: onnx.onnx_cpp2py_export.defs.OpSchema.AttrType) int #
- __members__ = {'FLOAT': <AttrType.FLOAT: 1>, 'FLOATS': <AttrType.FLOATS: 6>, 'GRAPH': <AttrType.GRAPH: 5>, 'GRAPHS': <AttrType.GRAPHS: 10>, 'INT': <AttrType.INT: 2>, 'INTS': <AttrType.INTS: 7>, 'SPARSE_TENSOR': <AttrType.SPARSE_TENSOR: 11>, 'SPARSE_TENSORS': <AttrType.SPARSE_TENSORS: 12>, 'STRING': <AttrType.STRING: 3>, 'STRINGS': <AttrType.STRINGS: 8>, 'TENSOR': <AttrType.TENSOR: 4>, 'TENSORS': <AttrType.TENSORS: 9>, 'TYPE_PROTO': <AttrType.TYPE_PROTO: 13>, 'TYPE_PROTOS': <AttrType.TYPE_PROTOS: 14>}#
- __setstate__(self: onnx.onnx_cpp2py_export.defs.OpSchema.AttrType, state: int) None #
- __str__()#
name(self: handle) -> str
- property name#
- class DifferentiationCategory(self: onnx.onnx_cpp2py_export.defs.OpSchema.DifferentiationCategory, value: int)#
Members:
Unknown
Differentiable
NonDifferentiable
- __index__(self: onnx.onnx_cpp2py_export.defs.OpSchema.DifferentiationCategory) int #
- __init__(self: onnx.onnx_cpp2py_export.defs.OpSchema.DifferentiationCategory, value: int) None #
- __int__(self: onnx.onnx_cpp2py_export.defs.OpSchema.DifferentiationCategory) int #
- __members__ = {'Differentiable': <DifferentiationCategory.Differentiable: 1>, 'NonDifferentiable': <DifferentiationCategory.NonDifferentiable: 2>, 'Unknown': <DifferentiationCategory.Unknown: 0>}#
- __setstate__(self: onnx.onnx_cpp2py_export.defs.OpSchema.DifferentiationCategory, state: int) None #
- __str__()#
name(self: handle) -> str
- property name#
- class FormalParameterOption(self: onnx.onnx_cpp2py_export.defs.OpSchema.FormalParameterOption, value: int)#
Members:
Single
Optional
Variadic
- __index__(self: onnx.onnx_cpp2py_export.defs.OpSchema.FormalParameterOption) int #
- __init__(self: onnx.onnx_cpp2py_export.defs.OpSchema.FormalParameterOption, value: int) None #
- __int__(self: onnx.onnx_cpp2py_export.defs.OpSchema.FormalParameterOption) int #
- __members__ = {'Optional': <FormalParameterOption.Optional: 1>, 'Single': <FormalParameterOption.Single: 0>, 'Variadic': <FormalParameterOption.Variadic: 2>}#
- __setstate__(self: onnx.onnx_cpp2py_export.defs.OpSchema.FormalParameterOption, state: int) None #
- __str__()#
name(self: handle) -> str
- property name#
- class SupportType(self: onnx.onnx_cpp2py_export.defs.OpSchema.SupportType, value: int)#
Members:
COMMON
EXPERIMENTAL
- __index__(self: onnx.onnx_cpp2py_export.defs.OpSchema.SupportType) int #
- __init__(self: onnx.onnx_cpp2py_export.defs.OpSchema.SupportType, value: int) None #
- __int__(self: onnx.onnx_cpp2py_export.defs.OpSchema.SupportType) int #
- __members__ = {'COMMON': <SupportType.COMMON: 0>, 'EXPERIMENTAL': <SupportType.EXPERIMENTAL: 1>}#
- __setstate__(self: onnx.onnx_cpp2py_export.defs.OpSchema.SupportType, state: int) None #
- __str__()#
name(self: handle) -> str
- property name#
- __init__(*args, **kwargs)#
- property _function_body#
- _infer_node_outputs(self: onnx.onnx_cpp2py_export.defs.OpSchema, nodeBytes: bytes, valueTypesByNameBytes: Dict[str, bytes], inputDataByNameBytes: Dict[str, bytes] = {}, inputSparseDataByNameBytes: Dict[str, bytes] = {}, opsetImports: Dict[str, int] = {}, irVersion: int = 8) Dict[str, bytes] #
- get_context_dependent_function(self: onnx.onnx_cpp2py_export.defs.OpSchema, arg0: bytes, arg1: List[bytes]) bytes #
- get_context_dependent_function_with_opset_version(self: onnx.onnx_cpp2py_export.defs.OpSchema, arg0: int, arg1: bytes, arg2: List[bytes]) bytes #
- get_function_with_opset_version(self: onnx.onnx_cpp2py_export.defs.OpSchema, arg0: int) bytes #
- exception onnx.onnx_cpp2py_export.defs.SchemaError#
- onnx.onnx_cpp2py_export.defs.get_all_schemas() List[onnx.onnx_cpp2py_export.defs.OpSchema] #
Return the schema of all existing operators for the latest version.
- onnx.onnx_cpp2py_export.defs.get_all_schemas_with_history() List[onnx.onnx_cpp2py_export.defs.OpSchema] #
Return the schema of all existing operators and all versions.
- onnx.onnx_cpp2py_export.defs.get_schema(*args, **kwargs)#
Overloaded function.
get_schema(op_type: str, max_inclusive_version: int, domain: str = ‘’) -> onnx.onnx_cpp2py_export.defs.OpSchema
Return the schema of the operator op_type and for a specific version.
get_schema(op_type: str, domain: str = ‘’) -> onnx.onnx_cpp2py_export.defs.OpSchema
Return the schema of the operator op_type and for a specific version.