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# tf.compat.v1.sparse_reduce_max

Computes `tf.sparse.maximum` of elements across dimensions of a SparseTensor. (deprecated arguments) (deprecated arguments)

This is the reduction operation for the elementwise `tf.sparse.maximum` op.

This Op takes a SparseTensor and is the sparse counterpart to `tf.reduce_max()`. In particular, this Op also returns a dense `Tensor` instead of a sparse one.

Reduces `sp_input` along the dimensions given in `reduction_axes`. Unless `keepdims` is true, the rank of the tensor is reduced by 1 for each entry in `reduction_axes`. If `keepdims` is true, the reduced dimensions are retained with length 1.

If `reduction_axes` has no entries, all dimensions are reduced, and a tensor with a single element is returned. Additionally, the axes can be negative, similar to the indexing rules in Python.

The values not defined in `sp_input` don't participate in the reduce max, as opposed to be implicitly assumed 0 -- hence it can return negative values for sparse `reduction_axes`. But, in case there are no values in `reduction_axes`, it will reduce to 0. See second example below.

# where ? is implicitly-zero.

````x = tf.sparse.SparseTensor([[0, 0], [0, 2], [1, 1]], [1, 2, 3], [2, 3])`
`tf.sparse.reduce_max(x)`
`<tf.Tensor: shape=(), dtype=int32, numpy=3>`
`tf.sparse.reduce_max(x, 0)`
`<tf.Tensor: shape=(3,), dtype=int32, numpy=array([1, 3, 2], dtype=int32)>`
`tf.sparse.reduce_max(x, 1)`
`<tf.Tensor: shape=(2,), dtype=int32, numpy=array([2, 3], dtype=int32)>`
`tf.sparse.reduce_max(x, 1, keepdims=True)`
`<tf.Tensor: shape=(2, 1), dtype=int32, numpy=`
`array([[2],`
`       [3]], dtype=int32)>`
`tf.sparse.reduce_max(x, [0, 1])`
`<tf.Tensor: shape=(), dtype=int32, numpy=3>`
```

# [ ?, ?]

````y = tf.sparse.SparseTensor([[0, 0,], [1, 0], [1, 1]], [-7, 4, 3],`
`[3, 2])`
`tf.sparse.reduce_max(y, 1)`
`<tf.Tensor: shape=(3,), dtype=int32, numpy=array([-7,  4,  0], dtype=int32)>`
```

`sp_input` The SparseTensor to reduce. Should have numeric type.
`axis` The dimensions to reduce; list or scalar. If `None` (the default), reduces all dimensions.
`keepdims` If true, retain reduced dimensions with length 1.
`reduction_axes` Deprecated name of `axis`.
`keep_dims` Deprecated alias for `keepdims`.

The reduced Tensor.

[{ "type": "thumb-down", "id": "missingTheInformationINeed", "label":"Missing the information I need" },{ "type": "thumb-down", "id": "tooComplicatedTooManySteps", "label":"Too complicated / too many steps" },{ "type": "thumb-down", "id": "outOfDate", "label":"Out of date" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }]
[{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Easy to understand" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Solved my problem" },{ "type": "thumb-up", "id": "otherUp", "label":"Other" }]