tf.math.minimum
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Returns the min of x and y (i.e. x < y ? x : y) element-wise.
tf.math.minimum(
x, y, name=None
)
Args |
|---|
x
|
A Tensor. Must be one of the following types: bfloat16, half, float32, float64, int32, int64.
|
y
|
A Tensor. Must have the same type as x.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as x.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.math.minimum\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/math/minimum) |\n\nReturns the min of x and y (i.e. x \\\u003c y ? x : y) element-wise.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.minimum`](/api_docs/python/tf/math/minimum)\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.math.minimum`](/api_docs/python/tf/math/minimum), [`tf.compat.v1.minimum`](/api_docs/python/tf/math/minimum)\n\n\u003cbr /\u003e\n\n tf.math.minimum(\n x, y, name=None\n )\n\n| **Note:** [`math.minimum`](../../tf/math/minimum) 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`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`, `int32`, `int64`. |\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`. Has the same type as `x`. ||\n\n\u003cbr /\u003e"]]
TensorFlow 1 version