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torchvision / _C.pyd
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p€Unknown backendUnknown backenddispatchKeyToBackendExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)CPUUnrecognized tensor type ID: C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hHIPUnknown backendbackendToDeviceTypeXLAExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)IntUndefined backend is not a valid device typeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hCUDA Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) 'Unknown backendbackendToDeviceTypeFPGA
 'C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hMSNPU 'Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)'
Unknown backendbackendToCPUC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hVulkan 'Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)'Unknown backendbackendToCUDA
C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hByte 'Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)'
Unknown backendbackendToHIPC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.h 'SparseCPU
)SparseCUDA, SparseHIP)
MkldnnCPU, QuantizedCPUQuantizedCUDAUNKNOWN_BACKENDscalarTypeToTypeMetaExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)f (please report this error)fsUnrecognized Scalartype C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hUnsupported TypeMeta in ATen: typeMetaToScalarTypeExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)i (please report this error)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hCharShortLongHalfFloatDoubleComplexHalfisComplexFloatComplexDoubleBoolQInt8QUInt8QInt32BFloat16index sUNKNOWN_SCALARExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)ssUnknown ScalarTypetelementSizetsUnknown ScalarTypeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hisSignedType not supported for quantized types for argument # but got device type Expected !isQIntType(t) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)isSignedTypetoComplexTypeExpected dense tensor but got  for argument # but got scalar type C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hExpected object of device type  in sequence argument at position #Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)gisSignedTypeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.h for argument # for sequence element Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)gsUnknown Complex ScalarTypeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hExpected object of scalar type checked_dense_tensor_list_unwrapExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)promoteTypes with quantized numbers is not handled yet; figure out what the correct rules should be, offending types: promoteTypes' in call to Expected dense tensor but got  in sequence argument at position #C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.h for sequence element Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)tychecked_dense_tensor_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)tys' in call to checked_dense_tensor_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)nms' in call to checked_dense_tensor_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)[ but got device type Expected object of device type checked_dense_tensor_list_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.),  in sequence argument at position #] for sequence element  but got scalar type Expected object of scalar type checked_dense_tensor_list_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hPyTorch splits its backend into two shared libraries: a CPU library and a CUDA library; this error has occurred because you are trying to use some CUDA functionality, but the CUDA library has not been loaded by the dynamic linker for some reason.  The CUDA library MUST be loaded, EVEN IF you don't directly use any symbols from the CUDA library! One common culprit is a lack of -INCLUDE:?warp_size@cuda@at@@YAHXZ in your link arguments; many dynamic linkers will delete dynamic library dependencies if you don't depend on any of their symbols.  You can check if this has occurred by using link on your binary to see if there is a dependency on *_cuda.dll library.Enabling both CUDA and HIP in ATen is not supported, as HIP masquerades to be CUDA (e.g., when you say CUDA, on a HIP build of ATen, this actually means HIP.  Rebuild PyTorch with one or the other disabled.Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) ' but tensor has no dimensionsdimension specified as maybe_wrap_dimDimension out of range (expected to be in range of [C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/WrapDimMinimal.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) '], but got ')maybe_wrap_dimC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/WrapDimMinimal.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.))], but got )Dimension out of range (expected to be in range of [maybe_wrap_dimsset_dispatch_enabledC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/WrapDimUtils.hivalCannot enable tracing within the scope of NoTracerDispatchMode!!c10::impl::tls_is_dispatch_key_excluded(at::DispatchKey::Tracer) INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/TracerMode.h":124, please report a bug to PyTorch. C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TracerMode.hstep must be greater than zeroinvalid index of a 0-dim tensor. Expected step > 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)applySliceC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.h is out of bounds for dimension Expected !(index == 0 && dim == 0 && self_sizes.size() == 0) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Use `tensor.item()` in Python or `tensor.item<T>()` in C++ to convert a 0-dim tensor to a number, got )applySelectC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hsetitemExpected index >= -size && index < size to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) with size )applySelectNoneC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hInvalid TensorIndex typehandleDimInMultiDimIndexingNonefalse INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/TensorIndexing.h":404, please report a bug to PyTorch. DeformConv2d_forwardC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hC:\Users\circleci\project\torchvision\csrc\DeformConv.hExpected specified_dims <= (int64_t)self_sizes.size() to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.))too many indices for tensor of dimension , got )applySlicingC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hDeformConv2d_backwardsize_t(kind) < sizeof(names) / sizeof(*names) INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\torch/csrc/jit/ir/attributes.h":37, please report a bug to PyTorch. toStringNot compiled with GPU supportC:\Users\circleci\project\torchvision\csrc\DeformConv.hC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch/csrc/jit/ir/attributes.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.))Not compiled with GPU supportExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)[Not compiled with GPU supportPSROIAlign_forward, C:\Users\circleci\project\torchvision\csrc\PSROIAlign.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)]Not compiled with GPU supportPSROIAlign_backward 'C:\Users\circleci\project\torchvision\csrc\PSROIAlign.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)[Not compiled with GPU supportPSROIPool_forward, got , C:\Users\circleci\project\torchvision\csrc\PSROIPool.hPSROIPool_backwardExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)]Not compiled with GPU supportC:\Users\circleci\project\torchvision\csrc\PSROIPool.htorchvision::roi_aligntorchvision::_roi_align_backwardNot compiled with GPU supportROIPool_forwardC:\Users\circleci\project\torchvision\csrc\ROIPool.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)CPUNot compiled with GPU supportROIPool_backward, got HIPC:\Users\circleci\project\torchvision\csrc\ROIPool.htorchvision::nms, got XLAC:\Users\circleci\project\torchvision\csrc\vision.cpptorchvisionIntnms(Tensor dets, Tensor scores, float iou_threshold) -> Tensorroi_align(Tensor input, Tensor rois, float spatial_scale, int pooled_height, int pooled_width, int sampling_ratio, bool aligned) -> Tensor_roi_align_backward(Tensor grad, Tensor rois, float spatial_scale, int pooled_height, int pooled_width, int batch_size, int channels, int height, int width, int sampling_ratio, bool aligned) -> Tensor, got  roi_pool, got  '_new_empty_tensor_opps_roi_alignps_roi_pool 'deform_conv2d_cuda_versionC:\Users\circleci\project\torchvision\csrc\vision.cpptorchvision 'roi_aligninsert'_roi_align_backward 'C:\Users\circleci\project\torchvision\csrc\vision.cpptorchvision'roi_alignVulkan '_roi_align_backward ' without overflow: 'value cannot be converted to type ) without overflow: , value cannot be converted to type ) without overflow: , value cannot be converted to type ,  without overflow: )value cannot be converted to type ,  without overflow: value cannot be converted to type  without overflow: CPUvalue cannot be converted to type HIP without overflow: XLAvalue cannot be converted to type Int without overflow:  value cannot be converted to type  ' without overflow:  'value cannot be converted to type  ' without overflow:  'value cannot be converted to type ' without overflow:  'value cannot be converted to type ' without overflow: 'value cannot be converted to type  ' without overflow: )value cannot be converted to type ,  without overflow: , value cannot be converted to type ) without overflow: fsvalue cannot be converted to type i without overflow: fvalue cannot be converted to type ss without overflow: tvalue cannot be converted to type is without overflow: svalue cannot be converted to type gs without overflow: tyvalue cannot be converted to type ts without overflow: gvalue cannot be converted to type tys without overflow: Dvalue cannot be converted to type D without overflow: [value cannot be converted to type ,  without overflow: ]value cannot be converted to type  ' without overflow:  'value cannot be converted to type ') without overflow: ]value cannot be converted to type [ without overflow: , value cannot be converted to type  ' without overflow: , value cannot be converted to type ] without overflow: [value cannot be converted to type HIP without overflow: CPUvalue cannot be converted to type XLA without overflow: Intvalue cannot be converted to type   without overflow:  'value cannot be converted to type  ' without overflow:  'value cannot be converted to type  ' without overflow: 'value cannot be converted to type  ' without overflow: 'value cannot be converted to type ' without overflow:  'value cannot be converted to type ) without overflow: , value cannot be converted to type ) without overflow: , value cannot be converted to type CPU without overflow: XLAvalue cannot be converted to type HIP without overflow: Intvalue cannot be converted to type   without overflow:  'value cannot be converted to type  ' without overflow:  'value cannot be converted to type ' without overflow:  'value cannot be converted to type ' without overflow:  'value cannot be converted to type ' without overflow:  'value cannot be converted to type ) without overflow: )value cannot be converted to type ,  without overflow: , value cannot be converted to type  without overflow: value cannot be converted to type CPU without overflow: HIPvalue cannot be converted to type ' is not definedExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)XLAoperator []C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch/csrc/api/include/torch/ordered_dict.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Int' is not definedMSNPUDouble operator []NoneC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch/csrc/api/include/torch/ordered_dict.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.),  is not a valid value for reduction)reduction_get_enumC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch\csrc\api\include\torch/enum.hNoneExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.),  is not a valid value for reduction)reduction_get_enumC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch\csrc\api\include\torch/enum.hcallExpected !name.empty() to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) 'Submodule name must not be emptyShortQInt32 'register_moduleC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/module.hExpected name.find('.') == std::string::npos to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)QUInt8 'Submodule name must not contain a dot (got 'register_module returned an incorrect number of gradients (expected C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/module.hFloatindex '__contains__function Vulkan 'function Double' returned a gradient different that is defined at position  ', but the corresponding forward input was not a VariableQInt8QUInt8'function QInt32 ' returned an incorrect number of gradients (expected function index is returned a gradient different that is defined at position s, but the corresponding forward input was not a VariableMSNPUinsertssfunction Vulkant returned an incorrect number of gradients (expected function Doublef returned a gradient different that is defined at position fs, but the corresponding forward input was not a VariableShortQInt32ifunction QUInt8tys returned an incorrect number of gradients (expected function index ts returned a gradient different that is defined at position g, but the corresponding forward input was not a VariableFloatVulkangsfunction Doublety returned an incorrect number of gradients (expected function QUInt8[ returned a gradient different that is defined at position , , but the corresponding forward input was not a VariableQInt8QInt32]function index  ' returned an incorrect number of gradients (expected function Vulkan ' returned a gradient different that is defined at position '), but the corresponding forward input was not a Variable and QUInt8[function QInt32,  returned an incorrect number of gradients (expected function Double ' returned a gradient different that is defined at position ], but the corresponding forward input was not a VariableExpected index_.count(key) == 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)' already definedKernel function cannot be nullptrC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch/csrc/api/include/torch/ordered_dict.hUnable to cast Python instance to C++ rvalue: instance has multiple references (compile in debug mode for details)makeFromUnboxedRuntimeFunctionKernel function cannot be nullptrfunc != nullptr INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/boxing/KernelFunction_impl.h":135, please report a bug to PyTorch. makeFromUnboxedRuntimeFunctionKernel function cannot be nullptrC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/core/boxing/KernelFunction_impl.hKernel function cannot be nullptrfunc != nullptr INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/boxing/KernelFunction_impl.h":135, please report a bug to PyTorch. makeFromUnboxedRuntimeFunctionKernel function cannot be nullptrC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/core/boxing/KernelFunction_impl.hKernel function cannot be nullptrfunc != nullptr INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/boxing/KernelFunction_impl.h":135, please report a bug to PyTorch. makeFromUnboxedRuntimeFunctionKernel function cannot be nullptrC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/core/boxing/KernelFunction_impl.hKernel function cannot be nullptrfunc != nullptr INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/boxing/KernelFunction_impl.h":135, please report a bug to PyTorch. makeFromUnboxedRuntimeFunctioncallC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/core/boxing/KernelFunction_impl.hcallfunc != nullptr INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/boxing/KernelFunction_impl.h":135, please report a bug to PyTorch. makeFromUnboxedRuntimeFunctionA boxed kernel should only push one return to the stackC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/core/boxing/KernelFunction_impl.hboxAndCallBoxedFuncfunc != nullptr INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/boxing/KernelFunction_impl.h":135, please report a bug to PyTorch. makeFromUnboxedRuntimeFunctionA boxed kernel should only push one return to the stackC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/core/boxing/KernelFunction_impl.hboxAndCallBoxedFuncfunc != nullptr INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/boxing/KernelFunction_impl.h":135, please report a bug to PyTorch. makeFromUnboxedRuntimeFunctionA boxed kernel should only push one return to the stackC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/core/boxing/KernelFunction_impl.hboxAndCallBoxedFuncfunc != nullptr INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/boxing/KernelFunction_impl.h":135, please report a bug to PyTorch. Unknown backenddispatchKeyToBackendC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/core/boxing/KernelFunction_impl.hUnknown backendbackendToDeviceTypeTried to call KernelFunction::call() on an uninitialized KernelFunction.boxed_kernel_func_ != nullptr INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/boxing/KernelFunction_impl.h":51, please report a bug to PyTorch. C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/core/boxing/KernelFunction_impl.hUnknown backendbackendToDeviceTypeTried to call KernelFunction::call() on an uninitialized KernelFunction.boxed_kernel_func_ != nullptr INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/boxing/KernelFunction_impl.h":51, please report a bug to PyTorch. C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/core/boxing/KernelFunction_impl.hUnknown backendCUDATried to call KernelFunction::call() on an uninitialized KernelFunction.boxed_kernel_func_ != nullptr INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/boxing/KernelFunction_impl.h":51, please report a bug to PyTorch. C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/core/boxing/KernelFunction_impl.hUnknown backendFPGAUnable to cast Python instance to C++ rvalue: instance has multiple references (compile in debug mode for details)Unrecognized tensor type ID: Unknown backendscalarTypeToTypeMetaUnable to cast Python instance to C++ type (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)stack.size() == 1 INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/boxing/impl/boxing.h":61, please report a bug to PyTorch. C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/core/boxing/impl/boxing.hstack.size() == 1 INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/boxing/impl/boxing.h":61, please report a bug to PyTorch. C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/core/boxing/impl/boxing.hstack.size() == 1 INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/boxing/impl/boxing.h":61, please report a bug to PyTorch. C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/core/boxing/impl/boxing.hmake_tuple(): unable to convert arguments to Python object (compile in debug mode for details)Unable to cast Python instance to C++ type (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hUndefined backend is not a valid device typebackendToCUDAUnknown backendtypeMetaToScalarTypeExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hbackendToCPUQuantizedCUDAUNKNOWN_BACKENDByteExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hbackendToHIPUnsupported TypeMeta in ATen: CharExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hQuantizedCPULongExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.h (please report this error)HalfC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.h, SparseCPUindex ]SparseHIPinsert[SparseCUDACPUMkldnnCPU (please report this error)BoolExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)XLAUnrecognized Scalartype C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hUNKNOWN_SCALARUnknown ScalarTypeExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hComplexHalfHIPComplexDoubleComplexFloatBFloat16elementSize) - Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hisSignedType not supported for quantized typesUnknown ScalarTypeExpected !isQIntType(t) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)toComplexTypeExpected dense tensor but got  for argument # but got device type C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hisSignedType' in call to  for argument # but got scalar type Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hisSignedTypeUnknown Complex ScalarTypepromoteTypes' in call to Expected object of device type  in sequence argument at position #Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.h for argument # for sequence element Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)promoteTypes with quantized numbers is not handled yet; figure out what the correct rules should be, offending types: Expected object of scalar type checked_dense_tensor_list_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hExpected dense tensor but got  in sequence argument at position #Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hchecked_dense_tensor_unwrapExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hchecked_dense_tensor_unwrapInt' in call to Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hchecked_dense_tensor_unwrapExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)  but got device type  for sequence element checked_dense_tensor_list_unwrapMSNPUVulkan 'Expected object of device type  for sequence element Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.h in sequence argument at position # 'Expected object of scalar type  but got scalar type C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hchecked_dense_tensor_list_unwrap but tensor has no dimensionsmaybe_wrap_dimdimension specified as PyTorch splits its backend into two shared libraries: a CPU library and a CUDA library; this error has occurred because you are trying to use some CUDA functionality, but the CUDA library has not been loaded by the dynamic linker for some reason.  The CUDA library MUST be loaded, EVEN IF you don't directly use any symbols from the CUDA library! One common culprit is a lack of -INCLUDE:?warp_size@cuda@at@@YAHXZ in your link arguments; many dynamic linkers will delete dynamic library dependencies if you don't depend on any of their symbols.  You can check if this has occurred by using link on your binary to see if there is a dependency on *_cuda.dll library.Enabling both CUDA and HIP in ATen is not supported, as HIP masquerades to be CUDA (e.g., when you say CUDA, on a HIP build of ATen, this actually means HIP.  Rebuild PyTorch with one or the other disabled.Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/WrapDimMinimal.hQUInt8 '], but got 'Dimension out of range (expected to be in range of [C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/WrapDimMinimal.hDouble 'maybe_wrap_dimmaybe_wrap_dimsDimension out of range (expected to be in range of [Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)'], but got C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/WrapDimUtils.hFPGACannot enable tracing within the scope of NoTracerDispatchMode!set_dispatch_enabledstep must be greater than zeroinvalid index of a 0-dim tensor. !c10::impl::tls_is_dispatch_key_excluded(at::DispatchKey::Tracer) INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/TracerMode.h":124, please report a bug to PyTorch. C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TracerMode.happlySliceapplySelectCUDAExpected step > 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected !(index == 0 && dim == 0 && self_sizes.size() == 0) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.h is out of bounds for dimension Use `tensor.item()` in Python or `tensor.item<T>()` in C++ to convert a 0-dim tensor to a number with size ByteC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hsetitemExpected index >= -size && index < size to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)pad_h: C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.happlySelect 'Invalid TensorIndex typeShortQInt32 'handleDimInMultiDimIndexingLongfalse INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/TensorIndexing.h":404, please report a bug to PyTorch. dil_h: Expected specified_dims <= (int64_t)self_sizes.size() to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)applySlicingoffset.shape[1] is not valid: got: C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.htoo many indices for tensor of dimension input must be a CPU tensor weight_w: CharC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hcomputed output dims: (Expected input.ndimension() == 4 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cpp'DeformConv2d_forward_cpuFloat, DeformConv2d_forward_cpuExpected offset.ndimension() == 4 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected weight.ndimension() == 4 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cppweight_h:  stride_w: HalfC:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cpp)DeformConv2d_forward_cpuQInt8, DeformConv2d_forward_cpuExpected input.is_contiguous() to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected offset.is_contiguous() to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cppstride_h:  expected: BoolC:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cpp)DeformConv2d_forward_cpuinputindex DeformConv2d_forward_cpuinvalid batch size of offsetoffset output dims: (Expected weight.is_contiguous() to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected input.device().is_cpu() to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cppDeformConv2d_forward_cpuCalculated output size too small - out_h:  without overflow: Expected weight_h > 0 && weight_w > 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) without overflow: C:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cppvalue cannot be converted to type C:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cppDeformConv2d_forward_cpu without overflow: Expected stride_h > 0 && stride_w > 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)DeformConv2d_forward_cpuvalue cannot be converted to type Expected pad_h >= 0 && pad_w >= 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cpp pad_w:  without overflow: C:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cppDeformConv2d_forward_cpu dil_w: value cannot be converted to type Expected dil_h > 0 && dil_w > 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)DeformConv2d_forward_cpuExpected weight.size(1) * n_weight_grps == input.size(1) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) without overflow: C:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cppvalue cannot be converted to type C:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cppDeformConv2d_forward_cpuDeformConv2d_forward_cpu without overflow: Expected weight.size(0) % n_weight_grps == 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected (offset.size(1) == n_offset_grps * 2 * weight_h * weight_w) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)value cannot be converted to type C:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cpp without overflow: C:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cppDeformConv2d_forward_cpuDeformConv2d_forward_cpuvalue cannot be converted to type Expected input.size(1) % n_offset_grps == 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected (offset.size(0) == input.size(0)) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) without overflow: C:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cppDeformConv2d_forward_cpuvalue cannot be converted to type Expected (offset.size(2) == out_h && offset.size(3) == out_w) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cpp without overflow: C:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cppDeformConv2d_forward_cpu out_w: value cannot be converted to type Expected out_h > 0 && out_w > 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)DeformConv2d_forward_cpuC:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cpp without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type value cannot be converted to type €€Ç€Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Unrecognized tensor type ID: Unknown backendUnknown backendUnknown backendExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)dispatchKeyToBackendbackendToDeviceTypeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hUndefined backend is not a valid device typeUnknown backendbackendToDeviceTypeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hUnknown backendscalarTypeToTypeMetaExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hbackendToCPUUnknown backendtypeMetaToScalarTypeExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hbackendToCUDAUnknown backendUnknown ScalarTypeExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hbackendToHIPQuantizedCUDAUNKNOWN_BACKENDUnknown ScalarTypeExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hSparseCUDASparseHIPSparseCPUQuantizedCPUMkldnnCPU (please report this error)Unrecognized Scalartype  (please report this error)ivalExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hUnsupported TypeMeta in ATen:  for argument # but got device type C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hComplexHalfComplexFloatComplexDoubleBFloat16UNKNOWN_SCALARelementSizeNoneC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hisSignedType not supported for quantized types for argument # but got scalar type Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)isSignedTypeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hExpected dense tensor but got Expected object of device type  in sequence argument at position #Expected !isQIntType(t) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)isSignedTypetoComplexType for argument #checked_dense_tensor_list_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hExpected object of scalar type  for sequence element Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hExpected dense tensor but got  in sequence argument at position #Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Unknown Complex ScalarTypepromoteTypes with quantized numbers is not handled yet; figure out what the correct rules should be, offending types: promoteTypes' in call to Expected object of device type checked_dense_tensor_list_unwrapExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.h for sequence element Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)checked_dense_tensor_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)' in call to checked_dense_tensor_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)' in call to checked_dense_tensor_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) but got device type  but got scalar type C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected object of scalar type  in sequence argument at position # for sequence element checked_dense_tensor_list_unwrapdimension specified as C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hPyTorch splits its backend into two shared libraries: a CPU library and a CUDA library; this error has occurred because you are trying to use some CUDA functionality, but the CUDA library has not been loaded by the dynamic linker for some reason.  The CUDA library MUST be loaded, EVEN IF you don't directly use any symbols from the CUDA library! One common culprit is a lack of -INCLUDE:?warp_size@cuda@at@@YAHXZ in your link arguments; many dynamic linkers will delete dynamic library dependencies if you don't depend on any of their symbols.  You can check if this has occurred by using link on your binary to see if there is a dependency on *_cuda.dll library.Enabling both CUDA and HIP in ATen is not supported, as HIP masquerades to be CUDA (e.g., when you say CUDA, on a HIP build of ATen, this actually means HIP.  Rebuild PyTorch with one or the other disabled.maybe_wrap_dimExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) but tensor has no dimensions], but got C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/WrapDimMinimal.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)maybe_wrap_dimC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/WrapDimMinimal.hDimension out of range (expected to be in range of [], but got NoneExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/WrapDimUtils.hDimension out of range (expected to be in range of [maybe_wrap_dims!c10::impl::tls_is_dispatch_key_excluded(at::DispatchKey::Tracer) INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/TracerMode.h":124, please report a bug to PyTorch. set_dispatch_enabledstep must be greater than zeroinvalid index of a 0-dim tensor. Cannot enable tracing within the scope of NoTracerDispatchMode!C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TracerMode.happlySlice with size NoneExpected step > 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Use `tensor.item()` in Python or `tensor.item<T>()` in C++ to convert a 0-dim tensor to a numberapplySelectNoneC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.h is out of bounds for dimension Expected !(index == 0 && dim == 0 && self_sizes.size() == 0) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected index >= -size && index < size to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)setitemC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.happlySelectFPGAC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hboxes should be a 2d tensor, got false INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/TensorIndexing.h":404, please report a bug to PyTorch. handleDimInMultiDimIndexingInvalid TensorIndex typetoo many indices for tensor of dimension applySlicingboxes should have 4 elements in dimension 1, got C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hnms_cpuExpected specified_dims <= (int64_t)self_sizes.size() to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)nms_cpuC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hscores should be a 1d tensor, got size_t(kind) < sizeof(names) / sizeof(*names) INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\torch/csrc/jit/ir/attributes.h":37, please report a bug to PyTorch. toStringC:\Users\circleci\project\torchvision\csrc\cpu\nms_cpu.cppnms_cpuC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch/csrc/jit/ir/attributes.hExpected dets.dim() == 2 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)nms_cpuExpected dets.size(1) == 4 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)dimension 0, got Expected scores.dim() == 1 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\Users\circleci\project\torchvision\csrc\cpu\nms_cpu.cppC:\Users\circleci\project\torchvision\csrc\cpu\nms_cpu.cppvalue cannot be converted to type Expected dets.size(0) == scores.size(0) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)boxes and scores should have same number of elements in C:\Users\circleci\project\torchvision\csrc\cpu\nms_cpu.cpp without overflow:  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)' is not definedoperator []CUDAC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch/csrc/api/include/torch/ordered_dict.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)operator []C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch/csrc/api/include/torch/ordered_dict.h' is not definedreduction_get_enumC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch\csrc\api\include\torch/enum.hCharExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) is not a valid value for reductionreduction_get_enumC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch\csrc\api\include\torch/enum.hByteExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) is not a valid value for reductionregister_moduleSubmodule name must not be emptyC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/module.hExpected !name.empty() to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Submodule name must not contain a dot (got 'register_module' already definedExpected name.find('.') == std::string::npos to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)__contains__C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/module.hnms_cpu_kernelC:\Users\circleci\project\torchvision\csrc\cpu\nms_cpu.cppdets must be a CPU tensor!dets.is_cuda() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\nms_cpu.cpp":8, please report a bug to PyTorch. nms_cpu_kernelC:\Users\circleci\project\torchvision\csrc\cpu\nms_cpu.cppscores must be a CPU tensorHalf!scores.is_cuda() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\nms_cpu.cpp":9, please report a bug to PyTorch. nms_cpu_kernelC:\Users\circleci\project\torchvision\csrc\cpu\nms_cpu.cppdets should have the same type as scoresnms_cpu_kernelUnknown backenddispatchKeyToBackenddets.scalar_type() == scores.scalar_type() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\nms_cpu.cpp":12, please report a bug to PyTorch. C:\Users\circleci\project\torchvision\csrc\cpu\nms_cpu.cppdets must be a CPU tensor!dets.is_cuda() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\nms_cpu.cpp":8, please report a bug to PyTorch. nms_cpu_kernelC:\Users\circleci\project\torchvision\csrc\cpu\nms_cpu.cppscores must be a CPU tensorLong!scores.is_cuda() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\nms_cpu.cpp":9, please report a bug to PyTorch. nms_cpu_kernelC:\Users\circleci\project\torchvision\csrc\cpu\nms_cpu.cppdets should have the same type as scoresUnknown backendbackendToDeviceTypedets.scalar_type() == scores.scalar_type() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\nms_cpu.cpp":12, please report a bug to PyTorch. Expected index_.count(key) == 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Unable to cast Python instance to C++ rvalue: instance has multiple references (compile in debug mode for details)Unknown backendbackendToDeviceTypeUnable to cast Python instance to C++ rvalue: instance has multiple references (compile in debug mode for details)Unrecognized tensor type ID: Unknown backendscalarTypeToTypeMetaC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch/csrc/api/include/torch/ordered_dict.hmake_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)Unable to cast Python instance to C++ type (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)Unable to cast Python instance to C++ type (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hUndefined backend is not a valid device typeUnknown backendtypeMetaToScalarTypeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hbackendToCPUbackendToCUDAUnknown backendBoolExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hbackendToHIPUnknown backendUnknown ScalarTypeExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hQuantizedCPUUNKNOWN_BACKENDUnknown ScalarTypeExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hQuantizedCUDAUnsupported TypeMeta in ATen:  for argument # but got device type Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.h (please report this error)roisExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)SparseCUDASparseCPUMkldnnCPUSparseHIPExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hUnrecognized Scalartype  (please report this error)gradC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hComplexDoubleComplexFloatComplexHalfBFloat16elementSizeroisExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)UNKNOWN_SCALARisSignedTypeisSignedType not supported for quantized typesExpected !isQIntType(t) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)toComplexTypeExpected dense tensor but got Expected object of device type  but got scalar type C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hisSignedType' in call to  for argument #checked_dense_tensor_list_unwrapExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hUnknown Complex ScalarTypepromoteTypes' in call to Expected object of scalar type  for sequence element Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.h for argument # in sequence argument at position #promoteTypes with quantized numbers is not handled yet; figure out what the correct rules should be, offending types: Expected object of device type  but got device type Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hExpected dense tensor but got  for sequence element C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.h in sequence argument at position #Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)checked_dense_tensor_unwrapExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hchecked_dense_tensor_unwrap' in call to Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hchecked_dense_tensor_unwrapExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hchecked_dense_tensor_list_unwrap but got scalar type  for sequence element  in sequence argument at position #C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hchecked_dense_tensor_list_unwrapExpected object of scalar type dimension specified as PyTorch splits its backend into two shared libraries: a CPU library and a CUDA library; this error has occurred because you are trying to use some CUDA functionality, but the CUDA library has not been loaded by the dynamic linker for some reason.  The CUDA library MUST be loaded, EVEN IF you don't directly use any symbols from the CUDA library! One common culprit is a lack of -INCLUDE:?warp_size@cuda@at@@YAHXZ in your link arguments; many dynamic linkers will delete dynamic library dependencies if you don't depend on any of their symbols.  You can check if this has occurred by using link on your binary to see if there is a dependency on *_cuda.dll library. but tensor has no dimensionsExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Enabling both CUDA and HIP in ATen is not supported, as HIP masquerades to be CUDA (e.g., when you say CUDA, on a HIP build of ATen, this actually means HIP.  Rebuild PyTorch with one or the other disabled.Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/WrapDimMinimal.hmaybe_wrap_dimmaybe_wrap_dimDimension out of range (expected to be in range of [], but got ], but got CUDAExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/WrapDimMinimal.hC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/WrapDimUtils.hmaybe_wrap_dimsDimension out of range (expected to be in range of [!c10::impl::tls_is_dispatch_key_excluded(at::DispatchKey::Tracer) INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/TracerMode.h":124, please report a bug to PyTorch. Cannot enable tracing within the scope of NoTracerDispatchMode!C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TracerMode.hset_dispatch_enabledstep must be greater than zeroExpected step > 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Use `tensor.item()` in Python or `tensor.item<T>()` in C++ to convert a 0-dim tensor to a numberapplySliceapplySelectFPGAExpected !(index == 0 && dim == 0 && self_sizes.size() == 0) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hinvalid index of a 0-dim tensor. Expected index >= -size && index < size to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) is out of bounds for dimension C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.happlySelect with size MSNPUfalse INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/TensorIndexing.h":404, please report a bug to PyTorch. Invalid TensorIndex typesetitemC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.htoo many indices for tensor of dimension handleDimInMultiDimIndexingCharExpected specified_dims <= (int64_t)self_sizes.size() to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)applySlicingPSROIAlign_forward_cpuC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hPSROIAlign_forward_cpuC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hPSROIAlign_forward_cpuinput.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\PSROIAlign_cpu.cpp":311, please report a bug to PyTorch. input must be a CPU tensorPSROIAlign_forward_cpurois.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\PSROIAlign_cpu.cpp":312, please report a bug to PyTorch. rois must be a CPU tensorPSROIAlign_backward_cpuC:\Users\circleci\project\torchvision\csrc\cpu\PSROIAlign_cpu.cppchannel_mapping must be a CPU tensorC:\Users\circleci\project\torchvision\csrc\cpu\PSROIAlign_cpu.cppPSROIAlign_backward_cpuchannels % (pooled_height * pooled_width) == 0 INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\PSROIAlign_cpu.cpp":326, please report a bug to PyTorch. input channels must be a multiple of pooling height * pooling widthgrad must be a CPU tensorPSROIAlign_backward_cpuC:\Users\circleci\project\torchvision\csrc\cpu\PSROIAlign_cpu.cpprois must be a CPU tensorPSROIAlign_backward_cpuC:\Users\circleci\project\torchvision\csrc\cpu\PSROIAlign_cpu.cppchannel_mapping without overflow: grad.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\PSROIAlign_cpu.cpp":373, please report a bug to PyTorch.  without overflow: C:\Users\circleci\project\torchvision\csrc\cpu\PSROIAlign_cpu.cppvalue cannot be converted to type rois.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\PSROIAlign_cpu.cpp":374, please report a bug to PyTorch.  without overflow: C:\Users\circleci\project\torchvision\csrc\cpu\PSROIAlign_cpu.cppvalue cannot be converted to type channel_mapping.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\PSROIAlign_cpu.cpp":377, please report a bug to PyTorch.  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type value cannot be converted to type  without overflow: value cannot be converted to type 0€Unknown backendUnknown backendExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Unrecognized tensor type ID: Undefined backend is not a valid device typebackendToDeviceTypeShortC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hdispatchKeyToBackendExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hUnknown backendbackendToDeviceTypeExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Unknown backendbackendToCPUC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hUnknown backendscalarTypeToTypeMetaExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hUnknown backendLongExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)backendToHIPC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hUnknown backendbackendToCUDAUNKNOWN_BACKENDtypeMetaToScalarTypeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hQuantizedCPUQuantizedCUDAUnsupported TypeMeta in ATen: ByteExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)SparseCPUSparseCUDASparseHIPMkldnnCPUC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hBoolExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) (please report this error)Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) (please report this error)Unrecognized Scalartype C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hComplexFloatComplexDoubleQInt8HalfFloatComplexHalfExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Unknown ScalarTypeelementSizeinputC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hBFloat16UNKNOWN_SCALARUnknown ScalarTypeExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)isSignedTypeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hisSignedType not supported for quantized types for argument # but got device type Expected !isQIntType(t) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)isSignedTypetoComplexType for argument # in sequence argument at position #C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hExpected dense tensor but got  for argument # but got scalar type Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)promoteTypes with quantized numbers is not handled yet; figure out what the correct rules should be, offending types: promoteTypes' in call to Expected object of device type  in sequence argument at position #Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Unknown Complex ScalarTypeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hExpected object of scalar type  for sequence element C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hExpected dense tensor but got checked_dense_tensor_list_unwrapExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)' in call to checked_dense_tensor_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)' in call to checked_dense_tensor_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)checked_dense_tensor_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) for sequence element  but got device type Expected object of device type checked_dense_tensor_list_unwrapchecked_dense_tensor_list_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.h in sequence argument at position # for sequence element  but got scalar type Expected object of scalar type dimension specified as PyTorch splits its backend into two shared libraries: a CPU library and a CUDA library; this error has occurred because you are trying to use some CUDA functionality, but the CUDA library has not been loaded by the dynamic linker for some reason.  The CUDA library MUST be loaded, EVEN IF you don't directly use any symbols from the CUDA library! One common culprit is a lack of -INCLUDE:?warp_size@cuda@at@@YAHXZ in your link arguments; many dynamic linkers will delete dynamic library dependencies if you don't depend on any of their symbols.  You can check if this has occurred by using link on your binary to see if there is a dependency on *_cuda.dll library.Enabling both CUDA and HIP in ATen is not supported, as HIP masquerades to be CUDA (e.g., when you say CUDA, on a HIP build of ATen, this actually means HIP.  Rebuild PyTorch with one or the other disabled.C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/WrapDimMinimal.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)], but got Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) but tensor has no dimensionsmaybe_wrap_dimExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)], but got Dimension out of range (expected to be in range of [maybe_wrap_dimDimension out of range (expected to be in range of [C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/WrapDimMinimal.hmaybe_wrap_dimsC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/WrapDimUtils.hroisC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TracerMode.hset_dispatch_enabledCannot enable tracing within the scope of NoTracerDispatchMode!!c10::impl::tls_is_dispatch_key_excluded(at::DispatchKey::Tracer) INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/TracerMode.h":124, please report a bug to PyTorch. Expected step > 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)step must be greater than zeroapplySliceapplySelectC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hinvalid index of a 0-dim tensor. Expected index >= -size && index < size to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) with size gradC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hsetitemExpected !(index == 0 && dim == 0 && self_sizes.size() == 0) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Use `tensor.item()` in Python or `tensor.item<T>()` in C++ to convert a 0-dim tensor to a numberInvalid TensorIndex typehandleDimInMultiDimIndexingroisfalse INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/TensorIndexing.h":404, please report a bug to PyTorch.  is out of bounds for dimension applySelectC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hPSROIPool_forward_cpuC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hPSROIPool_forward_cpuC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hPSROIPool_forward_cpuExpected specified_dims <= (int64_t)self_sizes.size() to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)too many indices for tensor of dimension applySlicingPSROIPool_forward_cpuC:\Users\circleci\project\torchvision\csrc\cpu\PSROIPool_cpu.cpprois must be a CPU tensorinput must be a CPU tensorPSROIPool_backward_cpurois.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\PSROIPool_cpu.cpp":154, please report a bug to PyTorch. rois must be a CPU tensorPSROIPool_backward_cpuinput.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\PSROIPool_cpu.cpp":153, please report a bug to PyTorch. PSROIPool_backward_cpuinput channels must be a multiple of pooling height * pooling widthCUDAchannels % (pooled_height * pooled_width) == 0 INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\PSROIPool_cpu.cpp":168, please report a bug to PyTorch. C:\Users\circleci\project\torchvision\csrc\cpu\PSROIPool_cpu.cppgrad must be a CPU tensorchannel_mapping must be a CPU tensorC:\Users\circleci\project\torchvision\csrc\cpu\PSROIPool_cpu.cppchannel_mappingPSROIPool_backward_cpuC:\Users\circleci\project\torchvision\csrc\cpu\PSROIPool_cpu.cpp without overflow: rois.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\PSROIPool_cpu.cpp":214, please report a bug to PyTorch. value cannot be converted to type grad.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\PSROIPool_cpu.cpp":213, please report a bug to PyTorch.  without overflow: C:\Users\circleci\project\torchvision\csrc\cpu\PSROIPool_cpu.cppvalue cannot be converted to type C:\Users\circleci\project\torchvision\csrc\cpu\PSROIPool_cpu.cpp without overflow: channel_mapping.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\PSROIPool_cpu.cpp":217, please report a bug to PyTorch. value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  P€ð€dispatchKeyToBackendExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Unrecognized tensor type ID: C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hUnknown backendUnknown backendbackendToDeviceTypeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hUnknown backendbackendToDeviceTypeExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Unknown backendExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Undefined backend is not a valid device typeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hUnknown backendFPGAExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)backendToCUDAC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hUnknown backendMSNPUExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)backendToCPUC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hUnknown backendtypeMetaToScalarTypeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hbackendToHIPQuantizedCUDAUNKNOWN_BACKENDscalarTypeToTypeMetaExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)SparseCUDASparseHIPMkldnnCPUSparseCPUQuantizedCPUExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) (please report this error)Unsupported TypeMeta in ATen:  (please report this error)Unrecognized Scalartype C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hLongHalfFloatC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hByteCharShortBoolQInt8ComplexHalfComplexFloatComplexDoubleelementSizeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hisSignedType not supported for quantized typesUnknown ScalarTypeExpected !isQIntType(t) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)BFloat16UNKNOWN_SCALARUnknown ScalarTypeExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)isSignedTypeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hdimension specified as Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Unknown Complex ScalarTypeisSignedTypeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hDimension out of range (expected to be in range of [Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)promoteTypes with quantized numbers is not handled yet; figure out what the correct rules should be, offending types: promoteTypestoComplexTypemaybe_wrap_dimDimension out of range (expected to be in range of [C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hmaybe_wrap_dimmaybe_wrap_dims but got device type C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.h for argument # but got scalar type Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) but tensor has no dimensions], but got C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/WrapDimMinimal.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/WrapDimUtils.hivalC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/WrapDimMinimal.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)], but got Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)' in call to C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)' in call to Expected dense tensor but got checked_dense_tensor_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)' in call to  for argument #Expected object of device type checked_dense_tensor_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) for argument #Expected object of scalar type checked_dense_tensor_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) in sequence argument at position # for sequence element Expected dense tensor but got checked_dense_tensor_list_unwrapchecked_dense_tensor_list_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) in sequence argument at position # for sequence element  but got device type Expected object of device type Expected object of scalar type checked_dense_tensor_list_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.h in sequence argument at position # for sequence element  but got scalar type set_dispatch_enabledPyTorch splits its backend into two shared libraries: a CPU library and a CUDA library; this error has occurred because you are trying to use some CUDA functionality, but the CUDA library has not been loaded by the dynamic linker for some reason.  The CUDA library MUST be loaded, EVEN IF you don't directly use any symbols from the CUDA library! One common culprit is a lack of -INCLUDE:?warp_size@cuda@at@@YAHXZ in your link arguments; many dynamic linkers will delete dynamic library dependencies if you don't depend on any of their symbols.  You can check if this has occurred by using link on your binary to see if there is a dependency on *_cuda.dll library.C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TracerMode.hstep must be greater than zeroinvalid index of a 0-dim tensor. Enabling both CUDA and HIP in ATen is not supported, as HIP masquerades to be CUDA (e.g., when you say CUDA, on a HIP build of ATen, this actually means HIP.  Rebuild PyTorch with one or the other disabled.Cannot enable tracing within the scope of NoTracerDispatchMode!!c10::impl::tls_is_dispatch_key_excluded(at::DispatchKey::Tracer) INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/TracerMode.h":124, please report a bug to PyTorch. Expected step > 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)applySliceapplySelectC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hsetitemExpected index >= -size && index < size to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) with size inputC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.h is out of bounds for dimension Expected !(index == 0 && dim == 0 && self_sizes.size() == 0) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Use `tensor.item()` in Python or `tensor.item<T>()` in C++ to convert a 0-dim tensor to a numberInvalid TensorIndex typehandleDimInMultiDimIndexingroisfalse INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/TensorIndexing.h":404, please report a bug to PyTorch. applySelectgradC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hROIAlign_forward_cpuC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hROIAlign_forward_cpuC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hROIAlign_backward_cpuExpected specified_dims <= (int64_t)self_sizes.size() to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)too many indices for tensor of dimension applySlicingROIAlign_forward_cpusize_t(kind) < sizeof(names) / sizeof(*names) INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\torch/csrc/jit/ir/attributes.h":37, please report a bug to PyTorch. toStringrois must be a CPU tensorinput must be a CPU tensorroisC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch/csrc/jit/ir/attributes.hC:\Users\circleci\project\torchvision\csrc\cpu\ROIAlign_cpu.cpprois.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\ROIAlign_cpu.cpp":398, please report a bug to PyTorch. input.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\ROIAlign_cpu.cpp":397, please report a bug to PyTorch. grad must be a CPU tensorROIAlign_backward_cpugrad.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\ROIAlign_cpu.cpp":450, please report a bug to PyTorch. C:\Users\circleci\project\torchvision\csrc\cpu\ROIAlign_cpu.cppC:\Users\circleci\project\torchvision\csrc\cpu\ROIAlign_cpu.cpprois must be a CPU tensorrois.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\ROIAlign_cpu.cpp":451, please report a bug to PyTorch. ROIAlign_backward_cpuvalue cannot be converted to type C:\Users\circleci\project\torchvision\csrc\cpu\ROIAlign_cpu.cpp without overflow: value cannot be converted to type  without overflow:  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type ' is not definedC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch/csrc/api/include/torch/ordered_dict.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)' is not definedoperator []reduction_get_enumC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch\csrc\api\include\torch/enum.hNoneExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) is not a valid value for reductionoperator []NoneC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch/csrc/api/include/torch/ordered_dict.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) is not a valid value for reductionregister_modulereduction_get_enumC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/module.hExpected name.find('.') == std::string::npos to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch\csrc\api\include\torch/enum.hNoneExpected !name.empty() to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Submodule name must not be empty__contains__Submodule name must not contain a dot (got 'register_moduleC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/module.hNone' already definedC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\torch/csrc/api/include/torch/ordered_dict.hExpected index_.count(key) == 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)Unable to cast Python instance to C++ rvalue: instance has multiple references (compile in debug mode for details)Unrecognized tensor type ID: dispatchKeyToBackendUnable to cast Python instance to C++ rvalue: instance has multiple references (compile in debug mode for details)Unknown backendbackendToDeviceTypeUnable to cast Python instance to C++ type (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)Unable to cast Python instance to C++ type (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Unknown backendExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Unknown backendC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hUndefined backend is not a valid device typeUnknown backendbackendToDeviceTypeExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hUnknown backendCUDAExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)backendToCPUC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hUnknown backendMSNPUExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hbackendToHIPUnknown backendFPGAC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hbackendToCUDAUNKNOWN_BACKENDscalarTypeToTypeMetaExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/Backend.hSparseHIPMkldnnCPUSparseCPUSparseCUDAQuantizedCUDAQuantizedCPU (please report this error)Unsupported TypeMeta in ATen: LongC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hHalfExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Unrecognized Scalartype Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) (please report this error)ShortByteChartypeMetaToScalarTypeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hQInt8ComplexDoubleBoolComplexHalfComplexFloatFloatC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hUnknown ScalarTypeExpected !isQIntType(t) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)elementSizeUNKNOWN_SCALARUnknown ScalarTypeExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)BFloat16C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hisSignedType not supported for quantized types for argument # but got device type Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)isSignedTypeC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.h for argument # but got scalar type Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)isSignedTypepromoteTypesC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hExpected dense tensor but got  for argument # in sequence argument at position #promoteTypes with quantized numbers is not handled yet; figure out what the correct rules should be, offending types: Expected object of device type  for sequence element C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/ScalarType.hExpected object of scalar type  in sequence argument at position #Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Unknown Complex ScalarTypetoComplexTypeExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)' in call to ' in call to C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)checked_dense_tensor_unwrap' in call to C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)checked_dense_tensor_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)checked_dense_tensor_unwrap for sequence element checked_dense_tensor_list_unwrapC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected dense tensor but got  in sequence argument at position #inputExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)checked_dense_tensor_list_unwrap but got device type C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected object of device type C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/Utils.hExpected object of scalar type checked_dense_tensor_list_unwrap for sequence element  but got scalar type maybe_wrap_dimdimension specified as PyTorch splits its backend into two shared libraries: a CPU library and a CUDA library; this error has occurred because you are trying to use some CUDA functionality, but the CUDA library has not been loaded by the dynamic linker for some reason.  The CUDA library MUST be loaded, EVEN IF you don't directly use any symbols from the CUDA library! One common culprit is a lack of -INCLUDE:?warp_size@cuda@at@@YAHXZ in your link arguments; many dynamic linkers will delete dynamic library dependencies if you don't depend on any of their symbols.  You can check if this has occurred by using link on your binary to see if there is a dependency on *_cuda.dll library.Enabling both CUDA and HIP in ATen is not supported, as HIP masquerades to be CUDA (e.g., when you say CUDA, on a HIP build of ATen, this actually means HIP.  Rebuild PyTorch with one or the other disabled.Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)], but got Expected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/WrapDimMinimal.h but tensor has no dimensionsDimension out of range (expected to be in range of [], but got roisC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\c10/core/WrapDimMinimal.hExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Dimension out of range (expected to be in range of [maybe_wrap_dimmaybe_wrap_dimsset_dispatch_enabledC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/WrapDimUtils.hroisC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TracerMode.happlySlicestep must be greater than zero is out of bounds for dimension Cannot enable tracing within the scope of NoTracerDispatchMode!!c10::impl::tls_is_dispatch_key_excluded(at::DispatchKey::Tracer) INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/TracerMode.h":124, please report a bug to PyTorch. C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hinvalid index of a 0-dim tensor. Expected step > 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) with size C:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hsetitemExpected index >= -size && index < size to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)applySelectgradExpected !(index == 0 && dim == 0 && self_sizes.size() == 0) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Use `tensor.item()` in Python or `tensor.item<T>()` in C++ to convert a 0-dim tensor to a numberhandleDimInMultiDimIndexingC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hInvalid TensorIndex typeapplySelectapplySlicingROIPool_forward_cpufalse INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/TensorIndexing.h":404, please report a bug to PyTorch. ROIPool_forward_cpuC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hC:\Users\circleci\project\torchvision\csrc\cpu\ROIPool_cpu.cppROIPool_backward_cpuC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/TensorIndexing.hC:\Users\circleci\project\torchvision\csrc\cpu\ROIPool_cpu.cppROIPool_forward_cpuExpected specified_dims <= (int64_t)self_sizes.size() to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)too many indices for tensor of dimension rois must be a CPU tensorinput must be a CPU tensorROIPool_backward_cpurois.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\ROIPool_cpu.cpp":130, please report a bug to PyTorch. input.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\ROIPool_cpu.cpp":129, please report a bug to PyTorch. grad.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\ROIPool_cpu.cpp":183, please report a bug to PyTorch. grad must be a CPU tensorargmax.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\ROIPool_cpu.cpp":185, please report a bug to PyTorch. C:\Users\circleci\project\torchvision\csrc\cpu\ROIPool_cpu.cppargmax must be a CPU tensorROIPool_backward_cpurois.device().is_cpu() INTERNAL ASSERT FAILED at "C:\\Users\\circleci\\project\\torchvision\\csrc\\cpu\\ROIPool_cpu.cpp":184, please report a bug to PyTorch. C:\Users\circleci\project\torchvision\csrc\cpu\ROIPool_cpu.cpprois must be a CPU tensorROIPool_backward_cpuC:\Users\circleci\project\torchvision\csrc\cpu\ROIPool_cpu.cpp without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type  without overflow: value cannot be converted to type ÐÓ€¨€.€`š€0¯€à®€`$€p€À€p€€ €€€Ð€€X€.€`š€0¯€à®€ø€@=€?¬€°M€o¬€i¬€c¬€ i€˜€.€`š€0¯€à®€ €@=€?¬€°M€o¬€i¬€c¬€0F€°€p€x€Й€°€€™€p™€™€0·€@€p€`€ €€Ð€@=€?¬€°M€o¬€i¬€c¬€ð`€ˆ!€p€P€.€`š€0¯€à®€%€.€`š€0¯€à®€€€ÐÆ€ɬ€Ϭ€࿀€¿€լ€¿€۬€á¬€ç¬€°½€<€í¬€ó¬€ù¬€è€@=€?¬€°M€o¬€i¬€c¬€àX€€.€`š€0¯€à®€ 
€@=€?¬€°M€o¬€i¬€c¬€ Q€È
€ €€ € €€€#€¬€€p€ "€p€P€À:€¬€À#€€š€`š€0›€°€ˆP€p€˜€ '€¬€À€À€À€À€À€ €@=€?¬€°M€o¬€i¬€c¬€0h€€ €€ €`A€¬€H€ €€Unknown exceptionbad array new lengthstring too long: genericC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/core/ivalue_inl.hExpected !completed() to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Attempting to mark a completed Future as complete again. Note that a Future can only be marked completed once.markCompletedit is already marked completed (this is not neccessarily an error): Skipping setting following error on the Future since completed() INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/ivalue_inl.h":309, please report a bug to PyTorch. valuecompleted() INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/ivalue_inl.h":320, please report a bug to PyTorch. constValue!error_ INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/ivalue_inl.h":321, please report a bug to PyTorch. !completed() INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/ivalue_inl.h":397, please report a bug to PyTorch. setErrorInternalExpected slot < slots_.size() to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)unsafeRemoveSlotC:\tools\miniconda3\envs\env3.7\lib\site-packages\torch\include\ATen/core/dispatch/OperatorEntry.hpad_hpad_wdilation_hdilation_wgroupsoffset_groupsspatial_scalepooled_heightpooled_widthsampling_ratioinput_shapealignedExpected 0 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)double backwards on roi_align not supportedbackwardC:\Users\circleci\project\torchvision\csrc\ROIAlign.hshapebad optional accessvector too longinvalid vector subscriptvector<bool> too long) This likely happened in a call to OperatorHandle::typed<Return (Args...)>(). Please make sure that the function signature matches the signature in the operator registration call. ( but the operator was registered with  with a wrong signature. Accessed with Tried to access operator !cpp_signature_.has_value() || (CppSignature::make<FuncType>() == *cpp_signature_) INTERNAL ASSERT FAILED at "C:\\tools\\miniconda3\\envs\\env3.7\\lib\\site-packages\\torch\\include\\ATen/core/dispatch/OperatorEntry.h":116, please report a bug to PyTorch. assertSignatureIsCorrectExpected false to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)operator ()' not implemented for '"deformable_im2col"C:\Users\circleci\project\torchvision\csrc\cpu\DeformConv_cpu.cpp"deformable_col2im""deformable_col2im_coord"C:\Users\circleci\project\torchvision\csrc\cpu\nms_cpu.cpp"nms""PSROIAlign_forward"C:\Users\circleci\project\torchvision\csrc\cpu\PSROIAlign_cpu.cpp"PSROIAlign_backward""PSROIPool_forward"C:\Users\circleci\project\torchvision\csrc\cpu\PSROIPool_cpu.cpp"PSROIPool_backward""ROIAlign_forward"C:\Users\circleci\project\torchvision\csrc\cpu\ROIAlign_cpu.cppC:\Users\circleci\project\torchvision\csrc\cpu\ROIPool_cpu.cpp"ROIPool_forward""ROIPool_backward"€€?€?à?ð?@àC€FG€w€¿ð¿ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ[‚_
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