[object Object]

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

• Description: Returns the error function values of the input tensor element-wise.
• Formula:

$$erf(x)=\frac{2}{\sqrt{\pi } } \int_{0}^{x} e^{-t^{2} } \mathrm{d}t$$ [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 input parameters and calculate the required workspace size based on the 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): [object Object] on the device. The can be ND. The shape must be identical to that of [object Object]. The number of dimensions must not exceed 8. are supported.
    • [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT32, FLOAT16, BOOL, or INT64.
    • [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, FLOAT32, FLOAT16, BOOL, INT64, or BFLOAT16.
  • [object Object] (aclTensor *, computation output): [object Object] on the device. The can be ND. The shape must be identical to that of [object Object]. The number of dimensions must not exceed 8. are supported.
    • [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT32, or FLOAT16.
    • [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, FLOAT32, FLOAT16, 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): 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 [object Object].
  • [object Object] (aclrtStream, input): stream for executing the task.
  • [object Object] (aclOpExecutor *, input): operator executor, containing the operator computation process.

• Returns

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

[object Object]

• Parameters

  • [object Object] (aclTensor *, computation input): input and output tensor, [object Object] on the device. The can be ND. are supported. The number of dimensions must not exceed 8.
    • [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT32, or FLOAT16.
    • [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, FLOAT32, FLOAT16, 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): 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 [object Object].
  • [object Object] (aclrtStream, input): stream for executing the task.
  • [object Object] (aclOpExecutor *, input): operator executor, containing the operator computation process.

• Returns

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

[object Object]

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

[object Object]

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