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) ): Constrains input types to all numeric tensors.
T1 in ( tensor(bool) ): Constrains output to boolean tensor.
Examples
Differences
0 | 0 | Returns the tensor resulted from performing the greater_equal logical operation | Returns the tensor resulted from performing the greater_equal logical operation |
1 | 1 | elementwise on the input tensors A and B (with Numpy-style broadcasting support). | elementwise on the input tensors A and B (with Numpy-style broadcasting support). |
2 | 2 | | |
3 | 3 | This operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check Broadcasting in ONNX | This operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check Broadcasting in ONNX |
4 | 4 | | |
5 | 5 | **Inputs** | **Inputs** |
6 | 6 | | |
7 | 7 | * **A** (heterogeneous) - **T**: | * **A** (heterogeneous) - **T**: |
8 | 8 | First input operand for the logical operator. | First input operand for the logical operator. |
9 | 9 | * **B** (heterogeneous) - **T**: | * **B** (heterogeneous) - **T**: |
10 | 10 | Second input operand for the logical operator. | Second input operand for the logical operator. |
11 | 11 | | |
12 | 12 | **Outputs** | **Outputs** |
13 | 13 | | |
14 | 14 | * **C** (heterogeneous) - **T1**: | * **C** (heterogeneous) - **T1**: |
15 | 15 | Result tensor. | Result tensor. |
16 | 16 | | |
17 | 17 | **Type Constraints** | **Type Constraints** |
18 | 18 | | |
19 | 19 | * **T** in ( | * **T** in ( |
20 | tensor(bfloat16), | ||
20 | 21 | tensor(double), | tensor(double), |
21 | 22 | tensor(float), | tensor(float), |
22 | 23 | tensor(float16), | tensor(float16), |
23 | 24 | tensor(int16), | tensor(int16), |
24 | 25 | tensor(int32), | tensor(int32), |
25 | 26 | tensor(int64), | tensor(int64), |
26 | 27 | tensor(int8), | tensor(int8), |
27 | 28 | tensor(uint16), | tensor(uint16), |
28 | 29 | tensor(uint32), | tensor(uint32), |
29 | 30 | tensor(uint64), | tensor(uint64), |
30 | 31 | tensor(uint8) | tensor(uint8) |
31 | 32 | ): | ): |
32 | 33 | Constrains input types to all numeric tensors. | Constrains input types to all numeric tensors. |
33 | 34 | * **T1** in ( | * **T1** in ( |
34 | 35 | tensor(bool) | tensor(bool) |
35 | 36 | ): | ): |
36 | 37 | Constrains output to boolean tensor. | Constrains output to boolean tensor. |
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) ): Constrains input types to all numeric tensors.
T1 in ( tensor(bool) ): Constrains output to boolean tensor.