module `onnxrt.ops_cpu.op_size`#

Short summary#

module mlprodict.onnxrt.ops_cpu.op_size

Runtime operator.

class	truncated documentation
`Size`	Size ==== Takes a tensor as input and outputs a int64 scalar that equals to the total number of elements of the input …

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_modified`	Returns the list of modified parameters.
`args_mandatory`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`atts_value`	Returns all parameters in a dictionary.

Runtime operator.

class mlprodict.onnxrt.ops_cpu.op_size.Size(onnx_node, desc=None, **options)#

Takes a tensor as input and outputs a int64 scalar that equals to the total number of elements of the input tensor.

Inputs

Outputs

Type Constraints

T tensor(uint8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(int8), tensor(int16), tensor(int32), tensor(int64), tensor(bfloat16), tensor(float16), tensor(float), tensor(double), tensor(string), tensor(bool), tensor(complex64), tensor(complex128): Input tensor can be of arbitrary type.
T1 tensor(int64): Constrain output to int64 tensor, which should be a scalar though.

Version

Onnx name: Size

This version of the operator has been available since version 13.

Runtime implementation: Size

Parameters