LessOrEqual

LessOrEqual - 16

Version

  • name: LessOrEqual (GitHub)

  • domain: main

  • since_version: 16

  • function: True

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 16.

Summary

Returns the tensor resulted from performing the less_equal logical operation elementwise on the input tensors A and B (with Numpy-style broadcasting support).

This operator supports multidirectional (i.e., Numpy-style) broadcasting; for more details please check Broadcasting in ONNX.

Function Body

The function definition for this operator.

<
  domain: "",
  opset_import: ["" : 16]
>
LessOrEqual (A, B) => (C)
{
   O1 = Less (A, B)
   O2 = Equal (A, B)
   C = Or (O1, O2)
}

Inputs

  • A (heterogeneous) - T:

    First input operand for the logical operator.

  • B (heterogeneous) - T:

    Second input operand for the logical operator.

Outputs

  • C (heterogeneous) - T1:

    Result tensor.

Type Constraints

  • T in ( tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):

    Constrain input types to all numeric tensors.

  • T1 in ( tensor(bool) ):

    Constrain output to boolean tensor.

LessOrEqual - 12

Version

  • name: LessOrEqual (GitHub)

  • domain: main

  • since_version: 12

  • function: True

  • support_level: SupportType.COMMON

  • shape inference: False

This version of the operator has been available since version 12.

Summary

Returns the tensor resulted from performing the less_equal logical operation elementwise on the input tensors A and B (with Numpy-style broadcasting support).

This operator supports multidirectional (i.e., Numpy-style) broadcasting; for more details please check Broadcasting in ONNX.

Function Body

The function definition for this operator.

<
  domain: "",
  opset_import: ["" : 12]
>
LessOrEqual (A, B) => (C)
{
   O1 = Less (A, B)
   O2 = Equal (A, B)
   C = Or (O1, O2)
}

Inputs

  • A (heterogeneous) - T:

    First input operand for the logical operator.

  • B (heterogeneous) - T:

    Second input operand for the logical operator.

Outputs

  • C (heterogeneous) - T1:

    Result tensor.

Type Constraints

  • T in ( tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):

    Constrain input types to all numeric tensors.

  • T1 in ( tensor(bool) ):

    Constrain output to boolean tensor.