BitwiseAnd

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Product Support Status

Product	Supported
Ascend 950PR&950DT products	√
Atlas A3 products	√
Atlas A2 products	√
Atlas 200I/500 A2 inference products	×
Atlas inference products	√
Atlas training products	√

Function Description

• Operator function: computes the bitwise AND of each element in the input tensor and the corresponding element of the other input (a tensor or a scalar). The inputs must be integer or BOOL variables. When the inputs are BOOL, the logical AND result is computed.

• Computation formula:

  • When other is a tensor:

    $$ou{t}_i=sel{f}_i\&othe{r}_i$$

  • When other is a scalar:

    $$ou{t}_i=sel{f}_i\&other$$

Parameter Description

Parameter Name	Input/Output/Attribute	Description	Data Type	Data Format
self	Input	Input self in the formula.	INT16, UINT16, INT32, INT64, INT8, UINT8, UINT32, UINT64, BOOL	ND
other	Input	Input other in the formula.	INT16, UINT16, INT32, INT64, INT8, UINT8, UINT32, UINT64, BOOL	ND
out	Output	Output out in the formula.	BOOL, INT8, INT16, UINT16, INT32, UINT32, INT64, UINT64, UINT8, FLOAT, FLOAT16, DOUBLE, BFLOAT16, COMPLEX64, COMPLEX128	ND

• Atlas A3 products, Atlas A2 products, Atlas inference products, and Atlas training products: the data types of self and other do not support UINT32 or UINT64; the data type of out does not support UINT32, UINT64, COMPLEX64, or COMPLEX128.

Constraint Description

• The data types of the inputs must satisfy the data type deduction rules (see deduction relationship), and the deduced data types must be within the supported range.
• Each API is deterministic by default. For specific constraints, refer to the corresponding aclnn API documentation.

Invocation Description

Invocation Method	Sample Code	Description
aclnn API	test_aclnn_bitwise_and_scalar.cpp	Invokes the BitwiseAndScalar operator through the aclnnBitwiseAndScalar API.
aclnn API	test_aclnn_bitwise_and_tensor.cpp	Invokes the BitwiseAndTensor operator through the aclnnBitwiseAndTensor API.
aclnn API	test_aclnn_bitwise_and_tensor_out.cpp	Invokes the BitwiseAndTensorOut operator through the aclnnBitwiseAndTensorOut API.
aclnn API	test_aclnn_inplace_bitwise_and_tensor_out.cpp	Invokes the InplaceBitwiseAndTensorOut operator through the aclnnInplaceBitwiseAndTensorOut API.
aclnn API	test_aclnn_inplace_bitwise_and_scalar.cpp	Invokes the InplaceBitwiseAndScalar operator through the aclnnInplaceBitwiseAndScalar API.
aclnn API	test_aclnn_inplace_bitwise_and_tensor.cpp	Invokes the InplaceBitwiseAndTensor operator through the aclnnInplaceBitwiseAndTensor API.