divide
Function Usage
Image processing algorithms, tensor divide algorithm, supporting dtype.float16, dtype.float32, and dtype.uint8.
It is supported by the Atlas inference product and
- The input and output tensors must be on the device.
- The input parameters cannot exceed four dimensions, and must match the tensor shapes.
- The scale parameter can be passed only on the Atlas inference product. Different input data types are supported. The output data type is the same as that of the input tensor with high precision.
- Handle the issue of out-of-range data type if any.
Prototype
divide(inputTensor1: Tensor, inputTensor2: Tensor, scale)
Input Parameters
Parameter |
Type |
Description |
|---|---|---|
inputTensor1 |
Tensor class |
Dividend, input tensor, supporting dtype.float16, dtype.float32, and dtype.uint8 data types. |
inputTensor2 |
Tensor class |
Divisor, input tensor, supporting dtype.float16, dtype.float32 and dtype.uint8 data types. |
scale |
float |
(Optional) Multiplier for scaling the dividend. This parameter is supported only on the Atlas inference product. |
Response Parameters
Tensor data after the division
Parent topic: TensorOperations