Related Issues (20)
- Android example implementation for MNIST HOT 4
- cuda-jit filed to find correct cuda version HOT 4
- Type Annotation Needed Error in .map(|data| Tensor::<B, 2>::from_data(data.convert(), &self.device)) in Burn 0.14 HOT 3
- MNIST example in the burn book needs a small modification HOT 3
- Backpropagation issue HOT 1
- Can the pretty cool TUI remain on my shell even after training finished?
- Feature Request: Add Bitwise Operations for Tensors
- Detection issue with heterogenous cards HOT 1
- ONNX import regression: `Invalid shape for broadcasting - the dimension from the 2. to last position has conflicting values 3 and 32 from different inputs` HOT 5
- burn tensor and ndarray HOT 1
- mask_where function fails with NaN values in ndarray backend HOT 1
- conv2d_backward on Wgpu backend is too slow
- RUSTSEC-2024-0370: proc-macro-error is unmaintained
- Add the ability to access the underlying wgpu::Buffer of a Tensor when using the Wgpu backend. HOT 1
- Multi-backend decorator support
- Improve learner multi-gpu ergonomics
- Simple Regression Example has import errors. HOT 1
- Conv2d/Conv3d doesn't match `libtorch`
- Features enabled by examples unexpectedly which impact features in `crates` directory.
- run-checks failing HOT 2
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