[object Object]

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

• Stack tensors along a new axis.
• For example, for a tensor list with shape (A, B, C) and length N, if [object Object] is 0, the output tensor shape is (N, A, B, C).

[object Object]

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

• [object Object]
• [object Object]

[object Object]

• Parameters:

  • [object Object] (aclTensorList*, computation input): sequence of tensors to be stacked. The tensor can be 1D to 7D. are supported. The can be ND.

    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT16, FLOAT32, INT8, INT16, INT32, INT64, UINT8, UINT16, UINT32, UINT64, BOOL, DOUBLE, COMPLEX64, or COMPLEX128.
    • [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, FLOAT32, INT8, INT16, INT32, INT64, UINT8, UINT16, UINT32, UINT64, BOOL, DOUBLE, COMPLEX64, COMPLEX128, or BFLOAT16.

  • [object Object] (int64_t, computation input): dimension for stacking. The data type must be INT64. The value range is [–(tensors.dim() + 1), tensors.dim()].

  • [object Object] (aclTensor*, computation output): output tensor. The tensor can be 1–8 dimensions. are supported. The can be ND.

    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT16, FLOAT32, INT8, INT16, INT32, INT64, UINT8, UINT16, UINT32, UINT64, BOOL, DOUBLE, COMPLEX64, or COMPLEX128.
    • [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, FLOAT32, INT8, INT16, INT32, INT64, UINT8, UINT16, UINT32, UINT64, BOOL, DOUBLE, COMPLEX64, COMPLEX128, 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 compute:
  • [object Object] defaults to a deterministic implementation.

[object Object]

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