.. _op_ai_onnx_Greater: Greater ======= - **Domain**: ``ai.onnx`` - **Since version**: 13 Returns the tensor resulted from performing the ``Greater`` logical operation elementwise on the input tensors ``A`` and ``B`` (with Numpy-style broadcasting support). **Inputs** - **A** (*T*): First input operand for the logical operator. - **B** (*T*): Second input operand for the logical operator. **Outputs** - **C** (*T1*): Result tensor. **Type Constraints** - **T**: Constrain input types to all numeric tensors. Allowed types: tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8). - **T1**: Constrain output to boolean tensor. Allowed types: tensor(bool). Examples -------- **test_cc_greater** .. code-block:: text Inputs: x: shape=(2, 2), dtype=float32 [[1., 2.], [3., 4.]] y: shape=(2, 2), dtype=float32 [[2., 2.], [2., 2.]] Outputs: z: shape=(2, 2), dtype=bool [[False, False], [ True, True]] **test_cc_greater_bcast** .. code-block:: text Inputs: x: shape=(2, 2), dtype=float32 [[1., 2.], [3., 4.]] y: shape=(), dtype=float32 2.5 Outputs: z: shape=(2, 2), dtype=bool [[False, False], [ True, True]] **test_greater** .. code-block:: text Inputs: x: shape=(3, 4, 5), dtype=float32 [[[-0.04804087, -0.30510044, -1.6544707 , -0.07651462, 0.15347514], [-0.8623296 , 1.2285718 , -1.4362634 , 0.62051475, 0.46972257], [-2.3047967 , 0.39351684, 0.8641912 , -0.8612014 , -0.6527527 ], [ 0.19660589, 0.5224583 , -0.7622916 , -0.81308407, -0.2525546 ]], [[ 0.09045612, -0.20432594, 0.22601509, -0.95009905, 1.013518 ], [ 0.36961022, -1.081151 , 1.2164041 , 1.0255347 , 0.13125335], [-0.1453436 , 0.997203 , -1.3772132 , 1.8190564 , -1.2004651 ], [ 1.1938328 , 1.2253742 , -1.137825 , 0.645201 , -1.9091352 ]], [[ 1.5557947 , 0.88667655, -0.73243964, -1.0173167 , 0.24505444], [ 2.4330087 , 0.948794 , 0.96979547, -2.5747623 , -0.3217281 ], [-0.81137896, 0.45256877, 0.02869228, -1.1839191 , -1.3251646 ], [-0.6303364 , -1.3884656 , 0.78481734, -1.180762 , 0.08010377]]] y: shape=(3, 4, 5), dtype=float32 [[[ 1.7542539e+00, 1.2595381e-01, 2.7244222e-01, 1.5426704e-01, 1.6261207e+00], [-3.8990438e-01, -1.2887475e+00, 4.2111769e-01, 2.2889955e+00, -1.4774142e-01], [-1.5192430e-01, 1.7868859e+00, -1.3853636e+00, 2.5799441e-01, -1.4348719e-01], [-2.5402310e-01, 1.2493013e+00, 9.4376206e-02, -8.1307483e-01, 8.5687798e-01]], [[-6.0505110e-01, 7.5472873e-01, -2.5019467e-01, -2.1011617e+00, 3.6517543e-01], [-2.6853949e-01, -1.3520234e+00, 5.1533467e-01, -1.8550395e+00, 1.3554487e-01], [-1.6063135e+00, 1.5684804e+00, 1.3375679e+00, -1.2752861e+00, -1.2536888e-01], [ 1.0870316e+00, -6.3893634e-01, -1.4576868e+00, -1.0812014e+00, -3.0740843e+00]], [[-1.5012600e+00, 7.2199064e-01, 3.8688444e-02, 1.8910414e-01, -1.1433129e+00], [ 1.6144730e+00, 1.7268082e+00, 8.7535965e-01, -6.6721655e-02, 6.0414374e-01], [-1.7328656e-03, 3.5138649e-01, 6.2776333e-01, 1.6265903e+00, 7.4280053e-01], [ 6.3700020e-01, 8.0218631e-01, 1.0023049e+00, -1.3831070e-01, 1.8957044e+00]]] Outputs: greater: shape=(3, 4, 5), dtype=bool [[[False, False, False, False, False], [False, True, False, False, True], [False, False, True, False, False], [ True, False, False, False, False]], [[ True, False, True, True, True], [ True, True, True, True, False], [ True, False, False, True, False], [ True, True, True, True, True]], [[ True, True, False, False, True], [ True, False, True, False, False], [False, True, False, False, False], [False, False, False, False, False]]] **test_greater_bcast** .. code-block:: text Inputs: x: shape=(3, 4, 5), dtype=float32 [[[ 0.8741822 , 0.553631 , -1.1274734 , -0.8376671 , -0.40274566], [-1.941035 , 0.03275626, -0.18707356, 0.6395014 , -0.72187763], [ 1.4065468 , -2.193512 , -1.1618237 , 0.2559442 , 2.2077847 ], [-0.35174358, -0.7595853 , 1.283599 , -2.3089054 , -0.5201577 ]], [[-0.59689295, -0.6146078 , -0.47808528, -0.15212394, -1.6787723 ], [ 0.16855474, 0.24434562, 1.9536088 , -1.3060435 , -0.513753 ], [-1.3100123 , 2.4454045 , -0.18710747, 0.35884383, -1.4523033 ], [ 0.9135257 , -1.6895586 , 0.23634721, -0.11271938, 0.15884553]], [[-0.3383164 , -0.17695117, -2.064649 , 0.26156715, 2.2557833 ], [-0.27379173, -1.7714736 , 0.8415886 , -0.04499549, 0.09789849], [-1.2850043 , -0.57014376, 0.39273298, 1.2920564 , -0.1401397 ], [-1.9270529 , -1.8151977 , -0.04628848, 1.4735022 , -0.06726861]]] y: shape=(5,), dtype=float32 [ 1.4420623 , -0.9769679 , 0.03334304, -0.0760201 , -0.9492963 ] Outputs: greater: shape=(3, 4, 5), dtype=bool [[[False, True, False, False, True], [False, True, False, True, True], [False, False, False, True, True], [False, True, True, False, True]], [[False, True, False, False, False], [False, True, True, False, True], [False, True, False, True, False], [False, False, True, False, True]], [[False, True, False, True, True], [False, False, True, True, True], [False, True, True, True, True], [False, False, False, True, True]]] Differences with previous version (9) ------------------------------------- **SchemaDiff**: ``Greater`` (domain ``'ai.onnx'``) * old version: 9 * new version: 13 * breaking: no **Type constraints:** * changed 'T': added types: ['tensor(bfloat16)'] Version History --------------- - :doc:`Version 9 ` - :doc:`Version 7 ` - :doc:`Version 1 `