Inplace operator support

Hello, I wanted to ask whether it is possible to create in place operations. I have a pretty big DALI pipeline (in terms of image size) and I have to preprocess data, but each operation creates a copy of the data, that results in a DALI preprocessing pipeline with around 8Gb of memory consumption.

DALI version: 1.22.0dev

My neural network has an input size of 3 images with batchx3x5000x10000.

The pipeline consists of these steps:

1. 3 Encoded 16-bit TIFF images (900Mb)
2. nvidia.dali.fn.experimental.decoders.image (900Mb)
3. nvidia.dali.fn.transpose (900Mb)
4. nvidia.dali.fn.cast (1'800Mb)
5. division operator (1'800Mb)
6. nvidia.dali.fn.stack (1'800Mb)

Which takes around 8.1Gb of GPU memory just for pre-processing.

I am using DALI with Triton Inference Server and this is an issue because the TensorRT model is only around 1Gb memory and the pre-processing is 8x bigger. If some of the operations would be inplace it would greatly imporve the memory usage server-side. Is there a plan or a way to enable this?

Thanks in advance