[object Object]

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

• Description: Compare each element of [object Object] with the corresponding one of [object Object] to check if the former is less than or equal to the latter, and write each comparison result to [object Object].
• 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*, computation input): input [object Object] in the formula, which is an 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 can be ND.
    • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be INT8, UINT8, INT16, INT32, INT64, FLOAT16, UINT16, BFLOAT16, FLOAT, DOUBLE, or BOOL.
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be INT8, UINT8, INT16, INT32, INT64, FLOAT16, UINT16, FLOAT, DOUBLE, or BOOL.
  • [object Object] (aclTensor*, computation input): input [object Object] in the formula, which is an 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 can be ND.
    • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be INT8, UINT8, INT16, INT32, INT64, FLOAT16, UINT16, BFLOAT16, FLOAT, DOUBLE, or BOOL.
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be INT8, UINT8, INT16, INT32, INT64, FLOAT16, UINT16, FLOAT, DOUBLE, or BOOL.
  • [object Object] (aclTensor*, computation output): out in the formula, 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 can be ND.
    • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], [object Object]Atlas A3 training products/Atlas A3 inference products[object Object];: The data type can be FLOAT, INT32, INT64, FLOAT16, INT16, INT8, UINT8, DOUBLE, UINT32, UINT64, BOOL, UINT16, COMPLEX64, COMPLEX128 or BFLOAT16.
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT, INT32, INT64, FLOAT16, INT16, INT8, UINT8, DOUBLE, UINT32, UINT64, BOOL, UINT16, COMPLEX64 or COMPLEX128.
  • [object Object] (output): size of the workspace to be allocated on the device.
  • [object Object] (output): operator executor, containing the operator computation process.

• Returns

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

[object Object]

• Parameters

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

• Returns

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

[object Object]

• Parameters

  • [object Object] (void *, input): address of the workspace to be allocated on the device.
  • workspaceSize (uint64_t, input): size of the workspace to be allocated on the device, which is obtained by the first-phase API [object Object].
  • executor (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] & [object Object] default to a deterministic implementation.

[object Object]

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

aclnnLeTensor sample code:

Sample code of aclnnInplaceLeTensor: