apple
List acceptence for scale parameter
Hi!
I modified the coreml framework, which results with scale parameter in convert operation to accept a list, rather than a single float.
Here are my changes:
I can generalize this to different shapes just like bias parameter. Should I create a PR for this? Would be this helpful? Is there a specific reason why team has not implemented this functionality?
Making changes to the coremltools repository is not going to change the Core ML Framework.
What problem are you trying to solve?
Making changes to the coremltools repository is not going to change the Core ML Framework.
What problem are you trying to solve?
I did not exactly understand your response. What is the difference between CoreML Framework and coremltools repository? Maybe I wrongly use the term CoreML Framework. What I want to achieve is standard operation for image processing. We have 3 channel images (RGB) and I want to have seperate scale parameter for each of the channels, similar to torchvision. I believe mul ops is supported but the _insert_image_preprocessing_ops is lacking the support.
Unfortunately, looks like we have communication issue, I did not understand you clearly, and I felt like what I am trying to say was clear which is obviously wrong. Can you eleborate more on your side. I hope we can understand each other.