[object Object]

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

• Description: Determines whether each element in the input tensor is greater than the corresponding one of the [object Object] scalar and returns a Boolean tensor that indicates whether the behavior of the greater-than is true.

• Formula: For the input parameter [object Object] and the comparison scalar [object Object], [object Object] can be expressed by the following formula:

  $$out_{i}= (self_i > other) ? True : False$$

[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): aclTensor on the device. The shape dimension cannot exceed 8. are supported. The can be ND.
    • [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 DOUBLE, BFLOAT16, FLOAT16, FLOAT32, INT32, UINT32, INT64, UINT64, INT16, UINT16, INT8, UINT8, or BOOL, and must meet the with [object Object].
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT16, FLOAT32, INT32, UINT32, INT64, UINT64, INT16, UINT16, INT8, UINT8, or BOOL, and the deduction relationship with [object Object] must be met (see ).
  • [object Object] (aclScalar*, computation input): aclScalar on the host.
    • [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 DOUBLE, BFLOAT16, FLOAT16, FLOAT32, INT32, UINT32, INT64, UINT64, INT16, UINT16, INT8, UINT8, or BOOL, and must meet the with [object Object].
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT16, FLOAT32, INT32, UINT32, INT64, UINT64, INT16, UINT16, INT8, UINT8, or BOOL, and the deduction relationship with [object Object] must be met (see ).
  • [object Object] (aclTensor *, computation output): aclTensor on the device. The data type must be convertible to BOOL (see ). are supported. The can be ND. [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 DOUBLE, BFLOAT16, FLOAT16, FLOAT32, INT32, UINT32, INT64, UINT64, INT16, UINT16, INT8, UINT8, BOOL, COMPLEX64, or COMPLEX128.
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT16, FLOAT32, INT32, UINT32, INT64, UINT64, INT16, UINT16, INT8, UINT8, 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, covering 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 the first-phase API [object Object].
  • [object Object] (aclOpExecutor*, input): operator executor, covering 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, [object Object] and [object Object] in the formula, aclTensor on the device. The shape dimension cannot exceed 8. are supported. The can be ND.
    • [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 DOUBLE, BFLOAT16, FLOAT16, FLOAT32, INT32, UINT32, INT64, UINT64, INT16, UINT16, INT8, UINT8, or BOOL, and must meet the with [object Object].
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT16, FLOAT32, INT32, UINT32, INT64, UINT64, INT16, UINT16, INT8, UINT8, or BOOL, and the deduction relationship with [object Object] must be met (see ).
  • [object Object] (aclScalar*, computation input): aclScalar on the host. The data type of this parameter and [object Object] must meet the data type deduction rules (see ).
    • [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 DOUBLE, BFLOAT16, FLOAT16, FLOAT32, INT32, UINT32, INT64, UINT64, INT16, UINT16, INT8, UINT8, or BOOL, and must meet the with [object Object].
    • [object Object]Atlas training products[object Object] and [object Object]Atlas inference products[object Object]: The data type can be DOUBLE, FLOAT16, FLOAT32, INT32, UINT32, INT64, UINT64, INT16, UINT16, INT8, UINT8, or BOOL. The deduction relationship with [object Object] must be met (see ).
  • [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): 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 computing:
  • [object Object] and [object Object] default to deterministic implementation.

[object Object]

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

Sample code of aclnnGtScalar:

Sample code of aclnnInplaceGtScalar: