[object Object]

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

Description: Computes the maximum element value of an input tensor on a specified dimension.

[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]

• Parameter description:

  • [object Object] (aclTensor*, compute input): input tensor for computation. are supported. The can be ND.

    • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training series products/Atlas A3 inference series products[object Object]: FLOAT, FLOAT16, INT8, INT16, INT32, INT64, UINT8, DOUBLE, BOOL, or BFLOAT16.
    • [object Object]Atlas inference series products[object Object] and [object Object]Atlas training series products[object Object]: FLOAT, FLOAT16, INT8, INT16, INT32, INT64, UINT8, DOUBLE, or BOOL.

  • [object Object] (aclIntArray*, compute input): dimensions for computation. The value range is [–self.dim(), self.dim() – 1]. The data type can be INT64.

  • [object Object] (bool, compute input): whether to retain the dimensions of the reduced axis. The data type can be BOOL.

  • [object Object] (bool, compute input): defines the behavior when the [object Object] is empty. If this parameter is set to [object Object], no reduction occurs, and the output tensor remains identical to the input tensor. If set to [object Object], all axes are reduced. The supported data type can be BOOL.

  • [object Object] (aclTensor*, compute output): output tensor. The data type of out must be the same as that of self. are supported. The can be ND.

    • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training series products/Atlas A3 inference series products[object Object]: FLOAT, FLOAT16, INT8, INT16, INT32, INT64, UINT8, DOUBLE, BOOL, or BFLOAT16.
    • [object Object]Atlas inference series products[object Object] and [object Object]Atlas training series products[object Object]: FLOAT, FLOAT16, INT8, INT16, INT32, INT64, UINT8, DOUBLE, or BOOL.

  • [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]

• Parameter description:

  • [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 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.

• When the input [object Object] is of the tensor type, the reduced axis cannot be [object Object].

[object Object]

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