module `onnxrt.ops_cpu._op`#

Short summary#

module mlprodict.onnxrt.ops_cpu._op

Shortcut to ops_cpu.

Classes#

class	truncated documentation
`DefaultNone`	Default value for parameters when the parameter is not set but the operator has a default behaviour for it.
`OpFunction`	Runs a custom function.
`OpRun`	Ancestor to all operators in this subfolder. The runtime for every node can checked into ONNX unit tests. …
`OpRunArg`	Ancestor to all unary operators in this subfolder and which produces position of extremas (ArgMax, …). Checks …
`OpRunBinary`	Ancestor to all binary operators in this subfolder. Checks that inputs type are the same.
`OpRunBinaryComparison`	Ancestor to all binary operators in this subfolder comparing tensors.
`OpRunBinaryNum`	Ancestor to all binary operators in this subfolder. Checks that inputs type are the same.
`OpRunBinaryNumpy`	Implements the inplaces logic. numpy_fct is a binary numpy function which takes two matrices and has a argument …
`OpRunClassifierProb`	Ancestor to all binary operators in this subfolder. Checks that inputs type are the same.
`OpRunCustom`	Automates some methods for custom operators defined outside mlprodict.
`OpRunReduceNumpy`	Implements the reduce logic. It must have a parameter axes.
`OpRunUnary`	Ancestor to all unary operators in this subfolder. Checks that inputs type are the same.
`OpRunUnaryNum`	Ancestor to all unary and numerical operators in this subfolder. Checks that inputs type are the same.
`RefAttrName`	Implements a link between a parameter of a function and an attribute in node.
`RuntimeTypeError`	Raised when a type of a variable is unexpected.

Functions#

function	truncated documentation
`_build_schemas`

Properties#

property	truncated documentation
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default_modified`	Returns the list of modified parameters.
`args_default_modified`	Returns the list of modified parameters.
`args_default_modified`	Returns the list of modified parameters.
`args_default_modified`	Returns the list of modified parameters.
`args_default_modified`	Returns the list of modified parameters.
`args_default_modified`	Returns the list of modified parameters.
`args_default_modified`	Returns the list of modified parameters.
`args_default_modified`	Returns the list of modified parameters.
`args_default_modified`	Returns the list of modified parameters.
`args_default_modified`	Returns the list of modified parameters.
`args_default_modified`	Returns the list of modified parameters.
`args_default_modified`	Returns the list of modified parameters.
`args_mandatory`	Returns the list of optional arguments.
`args_mandatory`	Returns the list of optional arguments.
`args_mandatory`	Returns the list of optional arguments.
`args_mandatory`	Returns the list of optional arguments.
`args_mandatory`	Returns the list of optional arguments.
`args_mandatory`	Returns the list of optional arguments.
`args_mandatory`	Returns the list of optional arguments.
`args_mandatory`	Returns the list of optional arguments.
`args_mandatory`	Returns the list of optional arguments.
`args_mandatory`	Returns the list of optional arguments.
`args_mandatory`	Returns the list of optional arguments.
`args_mandatory`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`atts_value`	Returns all parameters in a dictionary.
`atts_value`	Returns all parameters in a dictionary.
`atts_value`	Returns all parameters in a dictionary.
`atts_value`	Returns all parameters in a dictionary.
`atts_value`	Returns all parameters in a dictionary.
`atts_value`	Returns all parameters in a dictionary.
`atts_value`	Returns all parameters in a dictionary.
`atts_value`	Returns all parameters in a dictionary.
`atts_value`	Returns all parameters in a dictionary.
`atts_value`	Returns all parameters in a dictionary.
`atts_value`	Returns all parameters in a dictionary.
`atts_value`	Returns all parameters in a dictionary.
`nb_classes`	Returns the number of expected classes.

Static Methods#

staticmethod	truncated documentation
`local_inputs`	Returns all varibles not registered as inputs and not produced by an node inside the graph. This inputs are part …
`local_inputs`	Returns all varibles not registered as inputs and not produced by an node inside the graph. This inputs are part …
`local_inputs`	Returns all varibles not registered as inputs and not produced by an node inside the graph. This inputs are part …
`local_inputs`	Returns all varibles not registered as inputs and not produced by an node inside the graph. This inputs are part …
`local_inputs`	Returns all varibles not registered as inputs and not produced by an node inside the graph. This inputs are part …
`local_inputs`	Returns all varibles not registered as inputs and not produced by an node inside the graph. This inputs are part …
`local_inputs`	Returns all varibles not registered as inputs and not produced by an node inside the graph. This inputs are part …
`local_inputs`	Returns all varibles not registered as inputs and not produced by an node inside the graph. This inputs are part …
`local_inputs`	Returns all varibles not registered as inputs and not produced by an node inside the graph. This inputs are part …
`local_inputs`	Returns all varibles not registered as inputs and not produced by an node inside the graph. This inputs are part …
`local_inputs`	Returns all varibles not registered as inputs and not produced by an node inside the graph. This inputs are part …
`local_inputs`	Returns all varibles not registered as inputs and not produced by an node inside the graph. This inputs are part …

Methods#

method	truncated documentation
`__init__`
`__init__`
`__init__`
`__init__`
`__init__`
`__init__`
`__init__`
`__init__`
`__init__`
`__init__`
`__init__`
`__init__`
`__init__`
`__repr__`	usual
`__str__`	usual
`__str__`	usual
`__str__`	usual
`__str__`	usual
`__str__`	usual
`__str__`	usual
`__str__`	usual
`__str__`	usual
`__str__`	usual
`__str__`	usual
`__str__`	usual
`__str__`	usual
`_find_custom_operator_schema`
`_find_custom_operator_schema`
`_find_custom_operator_schema`
`_find_custom_operator_schema`
`_find_custom_operator_schema`
`_find_custom_operator_schema`
`_find_custom_operator_schema`
`_find_custom_operator_schema`
`_find_custom_operator_schema`	Finds a custom operator defined by this runtime.
`_find_custom_operator_schema`
`_find_custom_operator_schema`
`_find_custom_operator_schema`
`_run`
`_run`	Should be overwritten.
`_run`	Should be overwritten.
`_run`	Should be overwritten.
`_run`	Should be overwritten.
`_run`	Should be overwritten.
`_run`
`_run`	Should be overwritten.
`_run`	Should be overwritten.
`_run`	Should be overwritten.
`_run`	Should be overwritten.
`_run`	Should be overwritten.
`_run_no_checks_`
`_run_no_checks_`	Calls method `_run`.
`_run_no_checks_`	Calls method `_run`.
`_run_no_checks_`	Calls method `_run`.
`_run_no_checks_`	Calls method `_run`.
`_run_no_checks_`
`_run_no_checks_`
`_run_no_checks_`
`_to_python_numpy`
`_to_python_numpy`
`_to_python_numpy`
`_to_python_numpy`
`_to_python_numpy`
`_to_python_numpy`
`_to_python_numpy`
`_to_python_numpy`
`_to_python_numpy`
`_to_python_numpy`
`_to_python_numpy`
`_to_python_numpy`
`enable_inplace_compute`	Tells the node that one input can be overwritten.
`enable_inplace_compute`	Tells the node that one input can be overwritten.
`enable_inplace_compute`	Tells the node that one input can be overwritten.
`enable_inplace_compute`	Tells the node that one input can be overwritten.
`enable_inplace_compute`	Tells the node that one input can be overwritten.
`enable_inplace_compute`	Tells the node that one input can be overwritten.
`enable_inplace_compute`	Tells the node that one input can be overwritten.
`enable_inplace_compute`	Tells the node that one input can be overwritten.
`enable_inplace_compute`	Tells the node that one input can be overwritten.
`enable_inplace_compute`	Tells the node that one input can be overwritten.
`enable_inplace_compute`	Tells the node that one input can be overwritten.
`enable_inplace_compute`	Tells the node that one input can be overwritten.
`need_context`	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
`need_context`	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
`need_context`	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
`need_context`	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
`need_context`	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
`need_context`	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
`need_context`	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
`need_context`	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
`need_context`	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
`need_context`	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
`need_context`	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
`need_context`	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
`run`	Calls method `_run`.
`run`	Calls method `_run`.
`run`	Calls method `_run`.
`run`	Calls method `_run`.
`run`	Calls method `_run`.
`run`	Calls method `_run`.
`run`	Calls method `_run`.
`run`	Calls method `_run`.
`run`	Calls method `_run`.
`run`	Calls method `_run`.
`run`	Calls method `_run`.
`run`	Calls method `_run`.
`switch_initializers_dtype`	Switches all initializers to `numpy.float64`. If model is None, a simple cast is done.
`switch_initializers_dtype`	Switches all initializers to `numpy.float64`. If model is None, a simple cast is done.
`switch_initializers_dtype`	Switches all initializers to `numpy.float64`. If model is None, a simple cast is done.
`switch_initializers_dtype`	Switches all initializers to `numpy.float64`. If model is None, a simple cast is done.
`switch_initializers_dtype`	Switches all initializers to `numpy.float64`. If model is None, a simple cast is done.
`switch_initializers_dtype`	Switches all initializers to `numpy.float64`. If model is None, a simple cast is done.
`switch_initializers_dtype`	Switches all initializers to `numpy.float64`. If model is None, a simple cast is done.
`switch_initializers_dtype`	Switches all initializers to `numpy.float64`. If model is None, a simple cast is done.
`switch_initializers_dtype`	Switches all initializers to `numpy.float64`. If model is None, a simple cast is done.
`switch_initializers_dtype`	Switches all initializers to `numpy.float64`. If model is None, a simple cast is done.
`switch_initializers_dtype`	Switches all initializers to `numpy.float64`. If model is None, a simple cast is done.
`switch_initializers_dtype`	Switches all initializers to `numpy.float64`. If model is None, a simple cast is done.
`to_python`	Returns a python code equivalent to this operator.
`to_python`	Returns a python code equivalent to this operator.
`to_python`	Returns a python code equivalent to this operator.
`to_python`	Returns a python code equivalent to this operator.
`to_python`	Returns a python code equivalent to this operator.
`to_python`	Returns a python code equivalent to this operator.
`to_python`	Returns a python code equivalent to this operator.
`to_python`	Returns a python code equivalent to this operator.
`to_python`	Returns a python code equivalent to this operator.
`to_python`	Returns a python code equivalent to this operator.
`to_python`	Returns a python code equivalent to this operator.
`to_python`	Returns a python code equivalent to this operator.

Documentation#

Shortcut to ops_cpu.

source on GitHub

class mlprodict.onnxrt.ops_cpu._op.DefaultNone#

Bases: object

Default value for parameters when the parameter is not set but the operator has a default behaviour for it.

source on GitHub

class mlprodict.onnxrt.ops_cpu._op.OpFunction(onnx_node, impl)#

Bases: OpRun

Runs a custom function.

source on GitHub

__init__(onnx_node, impl)#

_run(*inputs, **kwargs)#

Should be overwritten.

source on GitHub

to_python(inputs)#

Returns a python code equivalent to this operator.

Parameters:: inputs – inputs name
Returns:: imports, python code, both as strings

source on GitHub

class mlprodict.onnxrt.ops_cpu._op.OpRun(onnx_node, desc=None, expected_attributes=None, **options)#

Bases: object

Ancestor to all operators in this subfolder. The runtime for every node can checked into ONNX unit tests.

Parameters:

onnx_node – onnx node
desc – internal representation
expected_attributes – expected attributes for this node
options – runtime options

source on GitHub

__init__(onnx_node, desc=None, expected_attributes=None, **options)#

__str__()#

usual

source on GitHub

_find_custom_operator_schema(op_name)#

_run(*args, **kwargs)#

Should be overwritten.

source on GitHub

_to_python_numpy(inputs, numpy_name)#

property args_default#

Returns the list of arguments as well as the list of parameters with the default values (close to the signature).

source on GitHub

property args_default_modified#

Returns the list of modified parameters.

source on GitHub

property args_mandatory#

Returns the list of optional arguments.

source on GitHub

property args_optional#

Returns the list of optional arguments.

source on GitHub

property atts_value#: Returns all parameters in a dictionary.

enable_inplace_compute(index)#

Tells the node that one input can be overwritten.

Parameters:: index – input index

source on GitHub

static local_inputs(graph)#

Returns all varibles not registered as inputs and not produced by an node inside the graph. This inputs are part of the context existing in the graph calling this one.

source on GitHub

need_context()#

Tells the runtime if this node needs the context (all the results produced so far) as it may silently access one of them (operator Loop). The default answer is False.

source on GitHub

run(*args, **kwargs)#

Calls method _run.

source on GitHub

switch_initializers_dtype(dtype_in=<class 'numpy.float32'>, dtype_out=<class 'numpy.float64'>)#

Switches all initializers to numpy.float64. If model is None, a simple cast is done.

Parameters:

dtype_in – previous type
dtype_out – next type

Returns:

done operations

source on GitHub

to_python(inputs)#

Returns a python code equivalent to this operator.

Parameters:: inputs – inputs name
Returns:: imports, python code, both as strings

source on GitHub

class mlprodict.onnxrt.ops_cpu._op.OpRunArg(onnx_node, desc=None, expected_attributes=None, **options)#

Bases: OpRunUnary

Ancestor to all unary operators in this subfolder and which produces position of extremas (ArgMax, …). Checks that inputs type are the same. The class must have attributes axis, keepdim.

source on GitHub