Comments (4)
CC @laggui
from burn.
Yeah I've been stumbling into issues with scalars when looking at different ops to add support for recently...
Even for node inputs/outputs this might cause trouble since ONNX spec is valid for scalar tensors but Burn doesn't currently support that. We should probably discuss this internally to see how we want to handle this, because it will be an obvious obstacle to supporting as many ONNX ops (and thus models) as possible.
from burn.
I have file a ticket to support 0D tensors: #1689
from burn.
Blocked by #1689
from burn.
Related Issues (20)
- Upgrade all dependencies
- Better memory management in Burn Compute
- Config Derive: Generic Types? HOT 2
- Optimizer / Visitor / Mapper confusion, no documentation HOT 4
- clamp_min does not handle -inf correctly on Autodiff<NdArray> backend
- Update tch to 0.16+
- Add multi-stream support to all the different backends.
- Add application logger strategy to learner builder
- Improve pickle (`CandleTensor`) conversions to `NestedValue`
- Add `squeeze_dims` function
- Building failed. Err: Is gcc.exe installed HOT 3
- Bug with element types in JIT when using all(), related to PRNG
- Crate libc 0.2.154 is yanked
- Feature: Burn equivalent to torch.retain_grad
- Burn-WGPU tests fail on Windows with Radeon 6950 HOT 1
- [Book] Add reference to models repo
- [Book] Add examples section
- Error when importing onnx of transformers bert model HOT 1
- extract onnx importing into it's own crate.
- The trait `std::clone::Clone` is not implemented for `BenchmarkModuleRecord<B>
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