gistfile1.txt

ERROR: test_backward_pass_with_dynamic_input_simple (__main__.TestDynamicShapeModels)
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Traceback (most recent call last):
  File "pytorch/xla/test/test_dynamic_shape_models.py", line 110, in test_backward_pass_with_dynamic_input_simple
    loss.backward()
  File "/home/ptxla/.local/lib/python3.8/site-packages/torch/_tensor.py", line 488, in backward
    torch.autograd.backward(
  File "/home/ptxla/.local/lib/python3.8/site-packages/torch/autograd/__init__.py", line 197, in backward
    Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
RuntimeError: /workspaces/work/pytorch/xla/torch_xla/csrc/helpers.cpp:273 : Check failed: out_size <= size_at_dyndim / input_shape.dimensions( input_dynamic_dimension) (2 vs. 1)
*** Begin stack trace ***
        tsl::CurrentStackTrace[abi:cxx11]()
        torch_xla::XlaHelpers::GetDynamicReshapeInfo(xla::Shape const&, absl::lts_20220623::Span<long const>)
        torch_xla::XlaHelpers::GetDynamicReshape(xla::Shape const&, absl::lts_20220623::Span<long const>)
        torch_xla::Permute::MakePermuteShape(xla::Shape const&, absl::lts_20220623::Span<long const>)
        torch_xla::ViewInfo::ViewInfo(torch_xla::ViewInfo::Type, xla::Shape, std::vector<long, std::allocator<long> >)
        torch_xla::tensor_methods::transpose(c10::intrusive_ptr<torch_xla::XLATensor, c10::detail::intrusive_target_default_null_type<torch_xla::XLATensor> > const&, long, long)
        torch_xla::XLANativeFunctions::t(at::Tensor const&)

        at::_ops::t::redispatch(c10::DispatchKeySet, at::Tensor const&)

        at::_ops::t::redispatch(c10::DispatchKeySet, at::Tensor const&)

        at::_ops::t::call(at::Tensor const&)

        torch::autograd::generated::AddmmBackward0::apply(std::vector<at::Tensor, std::allocator<at::Tensor> >&&)

        torch::autograd::Engine::evaluate_function(std::shared_ptr<torch::autograd::GraphTask>&, torch::autograd::Node*, torch::autograd::InputBuffer&, std::shared_ptr<torch::autograd::ReadyQueue> const&)
        torch::autograd::Engine::thread_main(std::shared_ptr<torch::autograd::GraphTask> const&)
        torch::autograd::Engine::thread_init(int, std::shared_ptr<torch::autograd::ReadyQueue> const&, bool)
        torch::autograd::python::PythonEngine::thread_init(int, std::shared_ptr<torch::autograd::ReadyQueue> const&, bool)


        clone
*** End stack trace ***
Unable to map dynamic dimension of shape f32[<=10,2]{1,0} to output sizes (2, 10)

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Ran 1 test in 0.483s

FAILED (errors=1)