Toby Roseman

icon company Apple

Results 543 comments of Toby Roseman

M1 PyTorch converter issue

@kpoeppel - The code you shared works fine for me. Are you on macOS 12? Are you using the most recent coremltools?

M1 PyTorch converter issue

I can reproduce this on an M1 machine.

M1 PyTorch converter issue

This looks like an issue with the CoreML Framework. I've created an internal issue.

M1 PyTorch converter issue

Work on the internal issue is on going. The original code to reproduce the issue (posted by @markovka17) now works on an M1 machine with macOS 12.3 The second code...

Update API: utils.evaluate_regressor and utils.evaluate_classifier

CI run: https://gitlab.com/coremltools1/coremltools/-/pipelines/608715939

Update API: utils.evaluate_regressor and utils.evaluate_classifier

Updated CI: https://gitlab.com/coremltools1/coremltools/-/pipelines/611972518

Basic torch.nn.LSTM can be converted from traced model but not scripted model

I've made some minor changes to the code in the description of this issue. With these changes, I can reproduce the problem. As you've mentioned the error here is actually...

compiler error: Espresso exception: "Invalid blob shape": Cannot broadcast blobs

> @TobyRoseman just wondering any update for this one? No update. Please note: our onnx converter is deprecated. We're planning on removing it in our next major release. I think...

Convert Flexible Input shapes problem. ValueError: @max_pool does not support symbolic input spatial shape when ceil_mode is True? What is it mean?

@Siq1982 - can you please give us complete code that reproduces this issue? It's very difficult to help you without being able to reproduce it. I see that you did...

Convert Flexible Input shapes problem. ValueError: @max_pool does not support symbolic input spatial shape when ceil_mode is True? What is it mean?

I can't load your model. What versions do you have of the following Python packages: `torch`, `torchvision`, `coremltools`? Also what operating system are you using?