[object Object]

[object Object][object Object]undefined[object Object]

• Description: Compares each element of [object Object] with the corresponding one of [object Object] to check if the former is less than the latter, and returns a tensor of the Boolean type.

• Formula:

  $$out_i = (self_i < other_i) ? [True] : [False]$$

[object Object]

• [object Object] and [object Object] implement the same function in different ways. Select a proper operator based on your requirements.

  • [object Object]: An output tensor object needs to be created to store the computation result.
  • [object Object]: No output tensor object needs to be created, and the computation result is stored in the memory of the input tensor.

• Each operator has calls. First, [object Object] or [object Object] is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then, [object Object] or [object Object] is called to perform computation.

  • [object Object]
  • [object Object]
  • [object Object]
  • [object Object]

[object Object]

• Parameters:

  • [object Object] (aclTensor*, compute input): aclTensor on the device. The data type must meet the data type deduction rules with [object Object] (see ). The shape must meet the with [object Object]. The shape dimensions cannot exceed 8. are supported. The supports ND.
    • [object Object]Atlas 200I/500 A2 inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, INT32, UINT32, INT64, UINT64, INT16, UINT16, INT8, UINT8, DOUBLE, or BOOL.
    • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, BFLOAT16, INT32, UINT32, INT64, UINT64, INT16, UINT16, INT8, UINT8, DOUBLE, or BOOL.
  • [object Object] (aclTensor*, compute input): aclTensor on the device. The data type must meet the data type deduction rules with [object Object] (see ). The shape must meet the with [object Object]. The shape dimensions cannot exceed 8. are supported. The supports ND.
    • [object Object]Atlas 200I/500 A2 inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, INT32, UINT32, INT64, UINT64, INT16, UINT16, INT8, UINT8, DOUBLE, or BOOL.
    • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, BFLOAT16, INT32, UINT32, INT64, UINT64, INT16, UINT16, INT8, UINT8, DOUBLE, or BOOL.
  • [object Object] (aclTensor *, compute output): aclTensor on the device. The data type must be convertible to BOOL (see ). The shape must be the same as the shape after [object Object] and [object Object] are broadcast (see ). The shape dimensions cannot exceed 8. are supported. The supports ND.
    • [object Object]Atlas 200I/500 A2 inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, INT32, UINT32, INT64, UINT64, INT16, UINT16, INT8, UINT8, DOUBLE, BOOL, COMPLEX64 or COMPLEX128.
    • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, BFLOAT16, INT32, UINT32, INT64, UINT64, INT16, UINT16, INT8, UINT8, DOUBLE, BOOL, COMPLEX64 or COMPLEX128.
  • [object Object] (uint64_t *, output): size of the workspace to be allocated on the device.
  • [object Object] (aclOpExecutor **, output): operator executor, containing the operator computation process.

• Returns:

  [object Object]: status code. For details, see .

[object Object]

• Parameters:

  • [object Object] (void *, input): memory address of the workspace to be allocated on the device.
  • [object Object] (uint64_t, input): size of the workspace to be allocated on the device, which is obtained by the first-phase API [object Object].
  • [object Object] (aclOpExecutor *, input): operator executor, containing the operator computation process.
  • [object Object] (aclrtStream, input): stream for executing the task.

• Returns:

  [object Object]: status code. For details, see .

[object Object]

• Parameters:

  • [object Object] (aclTensor*, compute input | compute output): input and output tensor, that is, [object Object] and [object Object] in the formula. aclTensor on the device. The input data type must meet the data type deduction rules with [object Object] (see ). The shape must meet the with [object Object], and the shape after broadcasting must be the same as that of [object Object]. are supported. The supports ND.
    • [object Object]Atlas 200I/500 A2 inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, INT32, INT64, INT16, INT8, UINT8, DOUBLE, UINT16, UINT32, UINT64, or BOOL.
    • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, INT32, INT64, INT16, INT8, UINT8, DOUBLE, UINT16, UINT32, UINT64, BOOL, or BFLOAT16.
  • [object Object] (aclTensor*, compute input): aclTensor on the device. The data type must meet the data type deduction rules with [object Object] (for details, see ). The shape must meet the with [object Object]. The shape after broadcasting must be the same as that of [object Object]. are supported. The supports ND.
    • [object Object]Atlas 200I/500 A2 inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, INT32, INT64, INT16, INT8, UINT8, DOUBLE, UINT16, UINT32, UINT64, or BOOL.
    • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, INT32, INT64, INT16, INT8, UINT8, DOUBLE, UINT16, UINT32, UINT64, BOOL, or BFLOAT16.
  • [object Object] (uint64_t *, output): size of the workspace to be allocated on the device.
  • [object Object] (aclOpExecutor **, output): operator executor, containing the operator computation process.

• Returns:

  [object Object]: status code. For details, see .

[object Object]

• Parameters:

  • [object Object] (void *, input): memory address of the workspace to be allocated on the device.
  • [object Object] (uint64_t, input): size of the workspace to be allocated on the device, which is obtained by the first-phase API [object Object].
  • [object Object] (aclOpExecutor *, input): operator executor, containing the operator computation process.
  • [object Object] (aclrtStream, input): stream for executing the task.

• Returns:

  [object Object]: status code. For details, see .

[object Object]

• Deterministic computation
  • [object Object] and [object Object] default to deterministic implementation.

[object Object]

The following example is for reference only. For details, see .

aclnnLtTensor sample code:

aclnnInplaceLtTensor sample code: