[object Object]

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

• Description: Returns the log of summed exponents of the input tensor in a given dimension.

• Formula: In the formula, [object Object] is the dimension specified by [object Object], and [object Object] is the index of the input element in the specified dimension.

  $$logsumexp(x)_i = log\sum_{j} exp(x_{ij} )$$

• Examples

[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] (aclTensor*, compute input): [object Object] in the formula, aclTensor on the device. The shape supports 0 to 8 dimensions. The data type must be convertible to that of [object Object]. For details, see . are supported. The supports ND.

    • [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, or BOOL.
    • [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, BFLOAT16, INT32, INT64, INT16, INT8, UINT8, or BOOL.

  • [object Object] (aclIntArray*, compute input): dimension involved in the computation, [object Object] in the formula, aclIntArray on the host. The value range is [–self.dim(), self.dim() – 1]. The data type can be INT64.

  • [object Object] (bool, compute input): whether to retain the dimension of the reduced axis, BOOL constant on the host.

  • [object Object] (aclTensor*, compute input): $logsumexp(x)$ in the formula, aclTensor on the device. The shape supports 0 to 8 dimensions. If [object Object] is [object Object], the shape must be the same as that of [object Object] except the dimension [object Object] is of size 1. If [object Object] is [object Object], the shape must be the same as that of [object Object] except the reduced axis. The data type must be convertible to that of [object Object]. For details, see . are supported. The supports ND.

    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT or FLOAT16.
    • [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, 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): memory 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 deterministic implementation.

[object Object]

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