LessOrEqual#
LessOrEqual - 16#
Version
name: LessOrEqual (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 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.
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
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.
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.