[object Object]

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

Description: Concatenates all tensors in [object Object] by [object Object]. The dimensions except those corresponding to [object Object] must be the same.

[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): list of tensors to be concatenated, [object Object] list on the device. The list length cannot exceed 32. The shape of each [object Object] in the list must be 1D to 8D, and the data types of tensors in the list must meet the data type deduction rules (see ). are supported. The can be ND.

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

  • [object Object] (int64_t, input): dimension to be concatenated. The value is of the int type and ranges from [-tensors.dim(), tensors.dim() - 1].

  • [object Object] (aclTensor*, computation output): output tensor, [object Object] on the device. The data type must be convertible from the deduced data type of the tensors. The can be ND.

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

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

[object Object]

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