acldvppSolarize

Applicability

Product

Supported

Atlas 350 Accelerator Card

Atlas A3 training product/Atlas A3 inference product

Atlas A2 training product/Atlas A2 inference product

Atlas 200I/500 A2 inference product

Atlas inference product

Atlas training product

Description

Description: generates RGB/grayscale images by inverting all pixel values within the threshold.

Prototype

Each operator has two-phase API calls. First, acldvppSolarizeGetWorkspaceSize is called to calculate the required workspace size based on the computation process. Then, acldvppSolarize is called to perform computation. The two-phase APIs are as follows:

  • First-phase API:
    1
    acldvppStatus acldvppSolarizeGetWorkspaceSize(const aclTensor *self, const aclFloatArray *threshold, aclTensor *out, uint64_t *workspaceSize, aclOpExecutor **executor)
    
  • Second-phase API:
    1
    acldvppStatus acldvppSolarize(void *workspace, uint64_t workspaceSize, aclOpExecutor *executor, aclrtStream stream)
    

acldvppSolarizeGetWorkspaceSize

  • Parameters:
    • self: input tensor of the operator. Call aclCreateTensor to create data of the aclTensor type (stored on the device). The data type of the input tensor can be UINT8 or FLOAT, and the format can be NCHW or NHWC. Discontinuous tensors are not supported, in addition, N can be 1 or empty, and C can be 1 or 3 (1 indicates the input GRAY image, and 3 indicates the input RGB image).

      When the data type of a tensor is FLOAT, the data value must be within the range of [0, 1].

    • threshold: threshold range of pixels to be reversed. The parameter value is provided in the format of [min, max], min ≤ max. If min = max or only one value is provided, all pixel values greater than or equal to min or max are reversed.

      When dataType of a tensor is FLOAT, the range of min and max is [0, 1].

      When dataType of a tensor is UINT8, min and max are integers in the range of [0, 255]. A decimal value is rounded down.

    • out: operator output tensor. Call aclCreateTensor to create data of the aclTensor type (stored on the device). The data type of the output tensor can be UINT8 or FLOAT, and the format can be NCHW or NHWC. Discontinuous tensors are not supported, in addition, N can only be 1 or empty, and C can be 1 or 3 (1 indicates a GRAY image, and 3 indicates an RGB image). The values of dataType, Format, and Shape must be the same as those of self.
    • workspaceSize: size of the workspace to be allocated on the device.
    • executor: operator executor, containing the operator computation process.
  • Returns:

    The status code acldvppStatus is returned. For details, see acldvpp Return Codes.

acldvppSolarize

  • Parameters:
    • workspace: The aclrtMalloc API needs to be called to allocate the device memory. The memory size is workspaceSize. The memory address output by the aclrtMalloc API is passed here.
    • workspaceSize: The value must be the same as that obtained by calling acldvppSolarizeGetWorkspaceSize.
    • executor: op executor, which contains the operator computation process and is the same as the executor of the acldvppSolarizeGetWorkspaceSize API.
    • stream: stream for executing the task. You can reuse the created stream to save resources or call aclrtCreateStream to create a stream, and then pass the stream as an input parameter.
  • Returns

    The status code acldvppStatus is returned. For details, see acldvpp Return Codes.

Constraints

  • The supported image resolution ranges from 6 x 4 to 4096 x 8192.