Rescale
Function Usage
The addition operation of tensor rescaling (dst = src x scale + bias). float16, float32, and uint8 data types are supported. Asynchronous calling is supported. The inplace operation is not supported.
It is supported by the Atlas inference product and
For the
The following conditions must be met:
- The input and output tensors must be on the device or DVPP side, and the parameters (stream and data memory) must be on the same device.
- For synchronization, the device where the data memory is located must be the same as the initialized device.
- Handle the issue of out-of-range data if any.
- The input and output parameters cannot exceed four dimensions, and must match the tensor shapes and types.
Prototype
1 | APP_ERROR Rescale(const Tensor &src, Tensor &dst, float scale, float bias, AscendStream& stream = AscendStream::DefaultStream()); |
Description
Parameter |
Input/Output |
Description |
|---|---|---|
src |
Input |
Tensor class, input tensor, supporting the float16, float32, and uint8 data types. The data memory must be on the device or DVPP side. |
dst |
Output |
Tensor class, output tensor, supporting the float16, float32, and uint8 data types. An empty tensor can be passed. If dst is not empty, the shape of dst must be the same as that of src. Call Tensor.Malloc() to allocate memory in advance. The data memory must be on the device (the same device as that of src) or DVPP. |
scale |
Input |
Float type, rescaling parameter, input scalar. |
bias |
Input |
Float type. It is used to calculate the sum of dst. |
stream |
Input |
AscendStream type. The default value is AscendStream::DefaultStream(). When the parameter value is the default value, the API calling is a synchronous operation. In other cases, the API calling is an asynchronous operation. |
Response Parameters
Data Structure |
Description |
|---|---|
APP_ERROR |
For details about the returned error codes, see APP_ERROR Description. |