tf.math.greater
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Returns the truth value of (x > y) element-wise.
tf.math.greater(
x: _atypes.TensorFuzzingAnnotation[TV_Greater_T],
y: _atypes.TensorFuzzingAnnotation[TV_Greater_T],
name=None
) -> _atypes.TensorFuzzingAnnotation[_atypes.Bool]
Example:
x = tf.constant([5, 4, 6])
y = tf.constant([5, 2, 5])
tf.math.greater(x, y) ==> [False, True, True]
x = tf.constant([5, 4, 6])
y = tf.constant([5])
tf.math.greater(x, y) ==> [False, False, True]
Args |
|---|
x
|
A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64.
|
y
|
A Tensor. Must have the same type as x.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type bool.
|
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.math.greater\n\n\u003cbr /\u003e\n\nReturns the truth value of (x \\\u003e y) element-wise.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.greater`](https://www.tensorflow.org/api_docs/python/tf/math/greater)\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.greater`](https://www.tensorflow.org/api_docs/python/tf/math/greater), [`tf.compat.v1.math.greater`](https://www.tensorflow.org/api_docs/python/tf/math/greater)\n\n\u003cbr /\u003e\n\n tf.math.greater(\n x: _atypes.TensorFuzzingAnnotation[TV_Greater_T],\n y: _atypes.TensorFuzzingAnnotation[TV_Greater_T],\n name=None\n ) -\u003e _atypes.TensorFuzzingAnnotation[_atypes.Bool]\n\n| **Note:** [`math.greater`](../../tf/math/greater) supports broadcasting. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)\n\n#### Example:\n\n x = tf.constant([5, 4, 6])\n y = tf.constant([5, 2, 5])\n tf.math.greater(x, y) ==\u003e [False, True, True]\n\n x = tf.constant([5, 4, 6])\n y = tf.constant([5])\n tf.math.greater(x, y) ==\u003e [False, False, True]\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `x` | A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `int64`, `bfloat16`, `uint16`, `half`, `uint32`, `uint64`. |\n| `y` | A `Tensor`. Must have the same type as `x`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` of type `bool`. ||\n\n\u003cbr /\u003e"]]
