[object Object]

[object Object][object Object]undefined
[object Object]
  • Description: Returns the floor of each element in the input tensor and writes back the result to the input tensor.
  • Formula:outi=floor(selfi)out_{i} =floor(self_{i})
[object Object]
  • [object Object] and [object Object] implement the same function in different ways. Select a proper operator based on your requirements.

    • [object Object]: An output tensor object needs to be created to store the computation result.
    • [object Object]: No output tensor object needs to be created, and the computation result is stored in the memory of the input tensor.
  • Each operator has calls. First, [object Object] or [object Object] is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then, [object Object] or [object Object] is called to perform computation.

    • [object Object]

    • [object Object]

    • [object Object]

    • [object Object]

[object Object]
  • Parameters:

    • [object Object] (aclTensor*, compute input): input parameter for floor computation, which is an aclTensor on the device. The data type must be the same as that of [object Object]. The can be ND. The shape must be the same as that of [object Object]. are supported, except in the cases of UINT64, UINT32, or UINT16. The shape cannot be greater than 8D.
      • [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT, FLOAT16, INT64, INT32, INT16, INT8, UINT64, UINT32, UINT16, or UINT8.
      • [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 DOUBLE, FLOAT, FLOAT16, INT64, INT32, INT16, INT8, UINT64, UINT32, UINT16, UINT8, or BFLOAT16.
    • [object Object] (aclTensor*, compute output): output parameter for floor computation, which is an aclTensor on the device. The data type must be the same as that of [object Object]. The can be ND. The shape must be the same as that of [object Object]. are supported. The shape cannot be greater than 8D.
      • [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT, FLOAT16, INT64, INT32, INT16, INT8, UINT64, UINT32, UINT16, or UINT8.
      • [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 DOUBLE, FLOAT, FLOAT16, INT64, INT32, INT16, INT8, UINT64, UINT32, UINT16, UINT8, 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]
[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 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]
  • Parameters:

    • [object Object] (aclTensor*, compute input|compute output): [object Object] and [object Object] in the formula. Input to be used for floor computation, which is aclTensor on the device. are supported. The can be ND. The shape cannot be greater than 8D.
      • [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT, FLOAT16, INT64, INT32, INT16, INT8, UINT64, UINT32, UINT16, or UINT8.
      • [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 DOUBLE, FLOAT, FLOAT16, INT64, INT32, INT16, INT8, UINT64, UINT32, UINT16, UINT8, 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]
[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 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] and [object Object] default to a deterministic implementation.
[object Object]

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

aclnnFloor sample code:

[object Object]

aclnnInplaceFloor sample code:

[object Object]