Image processing algorithms, tensor subtraction algorithm, supporting dtype.float16, dtype.float32 and dtype.uint8.

It is supported by the Atlas inference product and Atlas 200I/500 A2 inference product.

The input and output tensors must be on the device.
The input parameters cannot exceed four dimensions, and must match the tensor shapes.
Handle the issue of out-of-range data type if any.

subtract(inputTensor1: Tensor, inputTensor2: Tensor)

Parameter	Type	Description
inputTensor1	Tensor class	Minuend, input tensor, supporting dtype.float16, dtype.float32 and dtype.uint8 data types.
inputTensor2	Tensor class	Subtrahend, input tensor, supporting dtype.float16, dtype.float32 and dtype.uint8 data types.

Tensor data after the subtraction