# Bucketize {#openvino_docs_ops_condition_Bucketize_3} **Versioned name**: *Bucketize-3* **Category**: *Condition* **Short description**: *Bucketize* bucketizes the input based on boundaries. This is similar to [Reference](https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/bucketize). **Detailed description**: *Bucketize* computes a bucket index for each element from the first input and outputs a tensor of the first input shape. Buckets are defined with boundaries from the second input. For example, if the first input tensor is `[[3, 50], [10, -1]]` and the second input is `[0, 5, 10]` with included right bound, the output will be `[[1, 3], [2, 0]]`. **Attributes** * *output_type* * **Description**: the output tensor type * **Range of values**: "i64" or "i32" * **Type**: string * **Default value**: "i64" * **Required**: *no* * *with_right_bound* * **Description**: indicates whether bucket includes the right or the left edge of interval. * **Range of values**: * true - bucket includes the right interval edge * false - bucket includes the left interval edge * **Type**: `boolean` * **Default value**: true * **Required**: *no* **Inputs**: * **1**: N-D tensor of *T* type with elements for the bucketization. **Required.** * **2**: 1-D tensor of *T_BOUNDARIES* type with sorted unique boundaries for buckets. **Required.** **Outputs**: * **1**: Output tensor with bucket indices of *T_IND* type. If the second input is empty, the bucket index for all elements is equal to 0. The output tensor shape is the same as the first input tensor shape. **Types** * *T*: any numeric type. * *T_BOUNDARIES*: any numeric type. * *T_IND*: `int32` or `int64`. **Example** ```xml 49 11 5 49 11 ```