[null,null,["Last updated 2023-11-17 UTC."],[],[],null,["# tfp.experimental.distributions.marginal_fns.ps.less\n\n\u003cbr /\u003e\n\nReturns the truth value of (x \\\u003c y) element-wise. \n\n tfp.experimental.distributions.marginal_fns.ps.less(\n x: Annotated[Any, TV_Less_T], y: Annotated[Any, TV_Less_T], name=None\n ) -\u003e Annotated[Any, _atypes.Bool]\n\n| **Note:** [`math.less`](https://www.tensorflow.org/api_docs/python/tf/math/less) 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])\n tf.math.less(x, y) ==\u003e [False, True, False]\n\n x = tf.constant([5, 4, 6])\n y = tf.constant([5, 6, 7])\n tf.math.less(x, y) ==\u003e [False, True, 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"]]