GreaterOrEqual#

GreaterOrEqual - 16#

Version

  • name: GreaterOrEqual (GitHub)

  • domain: main

  • since_version: 16

  • function: True

  • support_level: SupportType.COMMON

  • shape inference: False

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

Summary

Returns the tensor resulted from performing the greater_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.

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.

Examples

GreaterOrEqual - 12#

Version

  • name: GreaterOrEqual (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 greater_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.

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.