[object Object]

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

• Description: Limits all input elements within the range of [min, inf].

• Formula:

  $${y}_{i} = max({{x}_{i}},{min\_value}_{i})$$

[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 tensor, [object Object] on the device. The shape must be 1D to 8D. The data type must meet the data type deduction rules (see ) with [object Object]. are supported. The can be ND.

    • [object Object]Atlas training products[object Object]: The data type can be FLOAT16, FLOAT, FLOAT64, INT8, UINT8, INT16, INT32, 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 FLOAT16, FLOAT, FLOAT64, INT8, UINT8, INT16, INT32, INT64, or BFLOAT16.

  • [object Object] (aclTensor*, computation input): input lower limit tensor. The data type must meet the data type deduction rules (see ) with [object Object]. The shape must be broadcastable with that of [object Object] (see ). are supported. The can be ND.

    • [object Object]Atlas training products[object Object]: The data type can be FLOAT16, FLOAT, FLOAT64, INT8, UINT8, INT16, INT32, INT64, 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 FLOAT16, FLOAT, FLOAT64, INT8, UINT8, INT16, INT32, INT64, BFLOAT16, or BOOL.

  • [object Object] (aclTensor*, computation output): output tensor. The shape must be broadcastable with that of [object Object] (see ). The can be ND.

    • [object Object]Atlas training products[object Object]: The data type can be FLOAT16, FLOAT, FLOAT64, INT8, UINT8, INT16, INT32, or INT64. The data type must be the same as that of [object Object] and must be convertible from the deduced data type of [object Object] and [object Object].
    • [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 FLOAT16, FLOAT, FLOAT64, INT8, UINT8, INT16, INT32, INT64, or BFLOAT16. The data type must be the same as that of [object Object] and must be convertible from the deduced data type of [object Object] and [object Object].

  • [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 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): The data type must meet the data type deduction rules (see ) with [object Object]. The deduced data type must be convertible to that of [object Object]. are supported. The can be ND.

    • [object Object]Atlas training products[object Object]: The data type can be FLOAT16, FLOAT, FLOAT64, INT8, UINT8, INT16, INT32, 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 FLOAT16, FLOAT, FLOAT64, INT8, UINT8, INT16, INT32, INT64, or BFLOAT16.

  • [object Object] (aclTensor*, computation input): input lower limit tensor. The data type must meet the data type deduction rules (see ) with [object Object]. The shape must be broadcastable with that of [object Object] (see ). are supported. The can be ND, and the number of dimensions must not exceed 8.

    • [object Object]Atlas training products[object Object]: The data type can be FLOAT16, FLOAT, FLOAT64, INT8, UINT8, INT16, INT32, 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 FLOAT16, FLOAT, FLOAT64, INT8, UINT8, INT16, INT32, INT64, 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 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 a deterministic implementation.

[object Object]

The following examples are for reference only. For details, see .

aclnnClampMinTensor Sample Code

aclnnInplaceClampMinTensor Sample Code