[object Object]

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

• Description: Returns the product of each row in a specified dimension of the input tensor.

• Formulas:

  $$out = \prod_{i=0}^{S_{dim}-1} self_{[..., \, i, \, ...]}$$

  $S_{dim}$ is the size of [object Object] in dimension $dim$, $dim$ is the specified dimension to reduce, and $keepDim$ controls whether to retain this dimension in the output.

[object Object]

Each operator has calls. First, aclnnProdDimGetWorkspaceSize is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then, aclnnProdDim is called to perform computation.

[object Object]

• Parameters:

  [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 verification. The following errors may be thrown.

  [object Object]

[object Object]

• Parameters:

  [object Object]

• Returns:

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

[object Object]

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

[object Object]

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