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• This API performs the linear_cross operation on the input tensor.

• Formula:

$$out = self\times other = \begin{vmatrix}i&j&k\\x_1&y_1&z_1\\x_2&y_2&z_2\end{vmatrix} = (y_1z_2-y_2z_1)i-(x_1z_2-x_2z_1)j+(x_1y_2-x_2y_1)k$$ [object Object]

Each operator is divided into two phases (../common/two_phase_interfaces.md). You must call aclnnLinalgCrossGetWorkspaceSize to obtain the workspace size required for computation and the executor that contains the operator computation process, and then call aclnnLinalgCross to perform the computation.

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• Parameters

  [object Object]
  • The Atlas training products do not support 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]

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• Parameters

  [object Object]

• Returns

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

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

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