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My model can be trained when the batch size is one. But a fatal error happened when I set batch_size = 2.
=== PANIC ===
A fatal error happened, you can check the experiment logs here => './tmp/fsrs/experiment.log'
=============
thread 'training::test' panicked at 'ndarray: could not broadcast array from shape: [2] to: [1]', /Users/jarrettye/.cargo/registry/src/index.crates.io-6f17d22bba15001f/ndarray-0.15.6/src/lib.rs:1529:13
stack backtrace:
0: rust_begin_unwind
at /rustc/90c541806f23a127002de5b4038be731ba1458ca/library/std/src/panicking.rs:578:5
1: core::panicking::panic_fmt
at /rustc/90c541806f23a127002de5b4038be731ba1458ca/library/core/src/panicking.rs:67:14
2: ndarray::ArrayBase<S,D>::broadcast_unwrap::broadcast_panic
at /Users/jarrettye/.cargo/registry/src/index.crates.io-6f17d22bba15001f/ndarray-0.15.6/src/lib.rs:1529:13
3: ndarray::ArrayBase<S,D>::broadcast_unwrap
at /Users/jarrettye/.cargo/registry/src/index.crates.io-6f17d22bba15001f/ndarray-0.15.6/src/lib.rs:1538:21
4: ndarray::impl_methods::<impl ndarray::ArrayBase<S,D>>::zip_mut_with
at /Users/jarrettye/.cargo/registry/src/index.crates.io-6f17d22bba15001f/ndarray-0.15.6/src/impl_methods.rs:2456:33
5: ndarray::impl_methods::<impl ndarray::ArrayBase<S,D>>::assign
at /Users/jarrettye/.cargo/registry/src/index.crates.io-6f17d22bba15001f/ndarray-0.15.6/src/impl_methods.rs:2355:9
6: burn_ndarray::ops::base::NdArrayOps<E>::slice_assign
at /Users/jarrettye/.cargo/git/checkouts/burn-acfbee6a141c1b41/8808ee2/burn-ndarray/src/ops/base.rs:48:9
7: burn_ndarray::ops::tensor::<impl burn_tensor::tensor::ops::tensor::TensorOps<burn_ndarray::backend::NdArrayBackend<E>> for burn_ndarray::backend::NdArrayBackend<E>>::slice_assign
at /Users/jarrettye/.cargo/git/checkouts/burn-acfbee6a141c1b41/8808ee2/burn-ndarray/src/ops/tensor.rs:200:9
8: <burn_autodiff::ops::tensor::<impl burn_tensor::tensor::ops::tensor::TensorOps<burn_autodiff::backend::ADBackendDecorator<B>> for burn_autodiff::backend::ADBackendDecorator<B>>::slice::Index<_> as burn_autodiff::ops::backward::Backward<B,_,1_usize>>::backward::{{closure}}
at /Users/jarrettye/.cargo/git/checkouts/burn-acfbee6a141c1b41/8808ee2/burn-autodiff/src/ops/tensor.rs:636:21
9: burn_autodiff::ops::backward::unary
at /Users/jarrettye/.cargo/git/checkouts/burn-acfbee6a141c1b41/8808ee2/burn-autodiff/src/ops/backward.rs:78:20
10: <burn_autodiff::ops::tensor::<impl burn_tensor::tensor::ops::tensor::TensorOps<burn_autodiff::backend::ADBackendDecorator<B>> for burn_autodiff::backend::ADBackendDecorator<B>>::slice::Index<_> as burn_autodiff::ops::backward::Backward<B,_,1_usize>>::backward
at /Users/jarrettye/.cargo/git/checkouts/burn-acfbee6a141c1b41/8808ee2/burn-autodiff/src/ops/tensor.rs:634:17
11: <burn_autodiff::ops::base::OpsStep<B,T,SB,_,_> as burn_autodiff::graph::base::Step>::step
at /Users/jarrettye/.cargo/git/checkouts/burn-acfbee6a141c1b41/8808ee2/burn-autodiff/src/ops/base.rs:142:9
12: burn_autodiff::graph::backward::execute_steps::{{closure}}::{{closure}}
at /Users/jarrettye/.cargo/git/checkouts/burn-acfbee6a141c1b41/8808ee2/burn-autodiff/src/graph/backward.rs:35:61
13: core::iter::traits::iterator::Iterator::for_each::call::{{closure}}
at /rustc/90c541806f23a127002de5b4038be731ba1458ca/library/core/src/iter/traits/iterator.rs:854:29
14: core::iter::traits::iterator::Iterator::fold
at /rustc/90c541806f23a127002de5b4038be731ba1458ca/library/core/src/iter/traits/iterator.rs:2482:21
15: core::iter::traits::iterator::Iterator::for_each
at /rustc/90c541806f23a127002de5b4038be731ba1458ca/library/core/src/iter/traits/iterator.rs:857:9
16: burn_autodiff::graph::backward::execute_steps::{{closure}}
at /Users/jarrettye/.cargo/git/checkouts/burn-acfbee6a141c1b41/8808ee2/burn-autodiff/src/graph/backward.rs:35:27
17: core::iter::traits::iterator::Iterator::for_each::call::{{closure}}
at /rustc/90c541806f23a127002de5b4038be731ba1458ca/library/core/src/iter/traits/iterator.rs:854:29
18: core::iter::traits::double_ended::DoubleEndedIterator::rfold
at /rustc/90c541806f23a127002de5b4038be731ba1458ca/library/core/src/iter/traits/double_ended.rs:307:21
19: <core::iter::adapters::rev::Rev<I> as core::iter::traits::iterator::Iterator>::fold
at /rustc/90c541806f23a127002de5b4038be731ba1458ca/library/core/src/iter/adapters/rev.rs:64:9
20: core::iter::traits::iterator::Iterator::for_each
at /rustc/90c541806f23a127002de5b4038be731ba1458ca/library/core/src/iter/traits/iterator.rs:857:9
21: burn_autodiff::graph::backward::execute_steps
at /Users/jarrettye/.cargo/git/checkouts/burn-acfbee6a141c1b41/8808ee2/burn-autodiff/src/graph/backward.rs:33:5
22: burn_autodiff::graph::backward::backward
at /Users/jarrettye/.cargo/git/checkouts/burn-acfbee6a141c1b41/8808ee2/burn-autodiff/src/graph/backward.rs:11:5
23: <burn_autodiff::backend::ADBackendDecorator<B> as burn_tensor::tensor::backend::base::ADBackend>::backward
at /Users/jarrettye/.cargo/git/checkouts/burn-acfbee6a141c1b41/8808ee2/burn-autodiff/src/backend.rs:42:9
24: burn_tensor::tensor::api::float::<impl burn_tensor::tensor::api::base::Tensor<B,_>>::backward
at /Users/jarrettye/.cargo/git/checkouts/burn-acfbee6a141c1b41/8808ee2/burn-tensor/src/tensor/api/float.rs:287:9
25: fsrs_optimizer_rs::training::<impl burn_train::learner::train_val::TrainStep<fsrs_optimizer_rs::dataset::FSRSBatch<B>,burn_train::learner::classification::ClassificationOutput<B>> for fsrs_optimizer_rs::model::Model<B>>::step
at ./src/training.rs:56:32
26: burn_train::learner::epoch::TrainEpoch<TI>::run
at /Users/jarrettye/.cargo/git/checkouts/burn-acfbee6a141c1b41/8808ee2/burn-train/src/learner/epoch.rs:108:24
27: burn_train::learner::train_val::<impl burn_train::learner::base::Learner<B,M,O,LR,TO,VO>>::fit
at /Users/jarrettye/.cargo/git/checkouts/burn-acfbee6a141c1b41/8808ee2/burn-train/src/learner/train_val.rs:131:21
28: fsrs_optimizer_rs::training::train
at ./src/training.rs:131:29
29: fsrs_optimizer_rs::training::test
at ./src/training.rs:157:5
30: fsrs_optimizer_rs::training::test::{{closure}}
at ./src/training.rs:149:11
31: core::ops::function::FnOnce::call_once
at /rustc/90c541806f23a127002de5b4038be731ba1458ca/library/core/src/ops/function.rs:250:5
32: core::ops::function::FnOnce::call_once
at /rustc/90c541806f23a127002de5b4038be731ba1458ca/library/core/src/ops/function.rs:250:5
note: Some details are omitted, run with `RUST_BACKTRACE=full` for a verbose backtrace.
To Reproduce
My model is complicated, so I haven't find a minimal script to reproduce the error.
Describe the bug
My model can be trained when the batch size is one. But a fatal error happened when I set batch_size = 2.
To Reproduce
My model is complicated, so I haven't find a minimal script to reproduce the error.
For details, please see: open-spaced-repetition/fsrs-rs#16 (comment)
The code reproducing error: open-spaced-repetition/fsrs-rs@23b8772
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