.. _l-onnx-doc-Bernoulli: ========= Bernoulli ========= .. contents:: :local: .. _l-onnx-op-bernoulli-15: Bernoulli - 15 ============== **Version** * **name**: `Bernoulli (GitHub) `_ * **domain**: **main** * **since_version**: **15** * **function**: False * **support_level**: SupportType.COMMON * **shape inference**: True This version of the operator has been available **since version 15**. **Summary** Draws binary random numbers (0 or 1) from a Bernoulli distribution. The input tensor should be a tensor containing probabilities p (a value in the range [0,1]) to be used for drawing the binary random number, where an output of 1 is produced with probability p and an output of 0 is produced with probability (1-p). This operator is non-deterministic and may not produce the same values in different implementations (even if a seed is specified). **Attributes** * **dtype**: The data type for the elements of the output tensor. if not specified, we will use the data type of the input tensor. * **seed**: (Optional) Seed to the random generator, if not specified we will auto generate one. **Inputs** * **input** (heterogeneous) - **T1**: All values in input have to be in the range:[0, 1]. **Outputs** * **output** (heterogeneous) - **T2**: The returned output tensor only has values 0 or 1, same shape as input tensor. **Type Constraints** * **T1** in ( tensor(double), tensor(float), tensor(float16) ): Constrain input types to float tensors. * **T2** in ( tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ): Constrain output types to all numeric tensors and bool tensors. **Examples**