[object Object]

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

• Description: Performs the cosine operation on each element of the input matrix and outputs the result.

• Formula:

$$out_{i}=cos(input_{i})$$ [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]

• Parameters

  [object Object]
  • [object Object]Atlas 200I/500 A2 inference products[object Object], [object Object]Atlas inference products[object Object], and [object Object]Atlas training products[object Object]: The data type cannot be BFLOAT16.

• Returns

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

  The first-phase API implements input parameter validation. The following error codes may be returned.

  [object Object]

[object Object]

• Parameters

  [object Object]

• Returns

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

[object Object]

• Parameters

  [object Object]
  • [object Object]Atlas 200I/500 A2 inference products[object Object], [object Object]Atlas inference products[object Object], and [object Object]Atlas training products[object Object]: The data type cannot be BFLOAT16.

• Returns

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

  The first-phase API implements input parameter validation. The following error codes may be returned.

  [object Object]

[object Object]

• Parameters

  [object Object]

• Returns

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

[object Object]

• Deterministic computation:

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

• [object Object]Atlas training products[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 input values of the FLOAT, FLOAT16, and BFLOAT16 data types must be within the range of [-10^7, 10^7] to meet precision requirements. If this range is exceeded, precision is not guaranteed and you are advised to use the CPU for computation.

• [object Object]Atlas inference products[object Object] and [object Object]Atlas 200I/500 A2 inference products[object Object]: The input values of the FLOAT and FLOAT16 data types must be within the range of [-65504, 65504] to meet precision requirements. If this range is exceeded, precision is not guaranteed and you are advised to use the CPU for computation.

[object Object]

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