[null,null,["Last updated 2021-02-18 UTC."],[],[],null,["# tf.raw_ops.LogicalAnd\n\n\u003cbr /\u003e\n\nReturns the truth value of x AND y element-wise.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.LogicalAnd`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/LogicalAnd)\n\n\u003cbr /\u003e\n\n tf.raw_ops.LogicalAnd(\n x, y, name=None\n )\n\n| **Note:** `LogicalAnd` supports broadcasting. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|--------------------------------------|\n| `x` | A `Tensor` of type `bool`. |\n| `y` | A `Tensor` of type `bool`. |\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"]]
