Description: Flattens the input tensor into a 2D tensor based on the given axis.
- If the shape of
[object Object]is (d_0, d_1, ..., d_n), the shape of[object Object]is (d_0*d_1 ... *d_(axis-1), d_axis*d_(axis+1)... *d_n). - If the value of
[object Object]is 0, the shape of[object Object]is (1, d_0*d_1 ... *d_n).
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]
Parameters:
[object Object](aclTensor*, compute input): input[object Object]. are supported. The can be ND. The shape ranges from 2D to 8D.- [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 INT8, INT16, INT32, INT64, UINT8, UINT16, UINT32, UINT64, BOOL, BFLOAT16, FLOAT, or FLOAT16.
- [object Object]Atlas training products[object Object]: The data type can be INT8, INT16, INT32, INT64, UINT8, UINT16, UINT32, UINT64, BOOL, FLOAT, or FLOAT16.
[object Object](int64_t, compute input): input[object Object], which is an int64_t integer. It indicates the base axis for the flatten operation. The value range is[object Object]. Currently, only[object Object]is supported.[object Object](aclTensor*, compute output): output[object Object]. The shape is 2D. 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 INT8, INT16, INT32, INT64, UINT8, UINT16, UINT32, UINT64, BOOL, BFLOAT16, FLOAT, or FLOAT16.
- [object Object]Atlas training products[object Object]: The data type can be INT8, INT16, INT32, INT64, UINT8, UINT16, UINT32, UINT64, BOOL, FLOAT, or FLOAT16.
[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:
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 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:
- Deterministic computation:
[object Object]defaults to a deterministic implementation.
The following example is for reference only. For details, see .