# tensorflow::ops::SparseReduceMax

`#include <sparse_ops.h>`

Computes the max of elements across dimensions of a SparseTensor.

## Summary

This Op takes a SparseTensor and is the sparse counterpart to `tf.reduce_max()`. In particular, this Op also returns a dense `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor` instead of a sparse one.

Reduces `sp_input` along the dimensions given in `reduction_axes`. Unless `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in `reduction_axes`. If `keep_dims` 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, which are interpreted according to the indexing rules in Python.

Arguments:

- scope: A [Scope](https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object
- input_indices: 2-D. `N x R` matrix with the indices of non-empty values in a SparseTensor, possibly not in canonical ordering.
- input_values: 1-D. `N` non-empty values corresponding to `input_indices`.
- input_shape: 1-D. Shape of the input SparseTensor.
- reduction_axes: 1-D. Length-`K` vector containing the reduction axes.

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Optional attributes (see `https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-reduce-max/attrs#structtensorflow_1_1ops_1_1_sparse_reduce_max_1_1_attrs`):

- keep_dims: If true, retain reduced dimensions with length 1.

<br />

Returns:

- `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output`: `R-K`-D. The reduced [Tensor](https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor).

<br />

| ### Constructors and Destructors ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/sparse-reduce-max#classtensorflow_1_1ops_1_1_sparse_reduce_max_1aeae496cfc74e42b24882c7d5148b23e0(const ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input input_indices, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input input_values, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input input_shape, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input reduction_axes)` ||
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/sparse-reduce-max#classtensorflow_1_1ops_1_1_sparse_reduce_max_1a451a0e2215cd3d4e69813f5405ae454f(const ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input input_indices, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input input_values, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input input_shape, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input reduction_axes, const https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-reduce-max/attrs#structtensorflow_1_1ops_1_1_sparse_reduce_max_1_1_attrs & attrs)` ||

| ### Public attributes ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/sparse-reduce-max#classtensorflow_1_1ops_1_1_sparse_reduce_max_1a90126f27d38e5eddd6614a6f5330b139` | `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation` |
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/sparse-reduce-max#classtensorflow_1_1ops_1_1_sparse_reduce_max_1ada3c0765be81f44a13f068c10a43cb34` | `::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output` |

| ### Public functions ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/sparse-reduce-max#classtensorflow_1_1ops_1_1_sparse_reduce_max_1a886a875c7b1cfc9b2f69ce45239582c3() const ` | `::tensorflow::Node *` |
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/sparse-reduce-max#classtensorflow_1_1ops_1_1_sparse_reduce_max_1a99bf4a11aed55ac04ed9aadfe5f3c8f9() const ` | ` `` ` |
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/sparse-reduce-max#classtensorflow_1_1ops_1_1_sparse_reduce_max_1a6687bcf1dca9bdb8019f8fcf46c00a17() const ` | ` `` ` |

| ### Public static functions ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/sparse-reduce-max#classtensorflow_1_1ops_1_1_sparse_reduce_max_1adc6b4f1a804b4ca85bc40b2a677288ae(bool x)` | `https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-reduce-max/attrs#structtensorflow_1_1ops_1_1_sparse_reduce_max_1_1_attrs` |

| ### Structs ||
|---|---|
| [tensorflow::ops::SparseReduceMax::Attrs](https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-reduce-max/attrs) | Optional attribute setters for [SparseReduceMax](https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/sparse-reduce-max#classtensorflow_1_1ops_1_1_sparse_reduce_max). |

## Public attributes

### operation

```
Operation operation
```

### output

```
::tensorflow::Output output
```

## Public functions

### SparseReduceMax

```
 SparseReduceMax(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input_indices,
  ::tensorflow::Input input_values,
  ::tensorflow::Input input_shape,
  ::tensorflow::Input reduction_axes
)
```

### SparseReduceMax

```
 SparseReduceMax(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input_indices,
  ::tensorflow::Input input_values,
  ::tensorflow::Input input_shape,
  ::tensorflow::Input reduction_axes,
  const SparseReduceMax::Attrs & attrs
)
```

### node

```
::tensorflow::Node * node() const 
```

### operator::tensorflow::Input

```
 operator::tensorflow::Input() const 
```

### operator::tensorflow::Output

```
 operator::tensorflow::Output() const 
```

## Public static functions

### KeepDims

```
Attrs KeepDims(
  bool x
)
```