[object Object]

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

• This API is used to perform multiplication between tensors.

• Calculation formula:

$$out_i = self_i \times other_i$$ [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]

• Parameter description:

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

• Returns

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

  The first-phase API performs input parameter validation. The following errors may be returned:

  [object Object]

[object Object]

• Parameter description:

  [object Object]

• Returns

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

[object Object]

• Parameter description:

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

• Returns

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

  The first-phase API performs input parameter validation. The following errors may be returned:

  [object Object]

[object Object]

• Parameter description:

  [object Object]

• Returns

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

[object Object]

• Deterministic computation:

  • [object Object] defaults to a deterministic implementation.

  • For the scenario where the data type of [object Object] is INT8 and that of [object Object] is INT32: The cast operator has a precision issue when converting the INT32 type to the INT8 type (see ). In this scenario, the output result precision cannot be ensured.

[object Object]

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

aclnnMul sample code:

aclnnInplaceMul sample code: