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This usually means that this function requires a non-empty list of Tensors. Available functions are Expected false to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Didn't find kernel to dispatch to for operator ''. Tried to look up kernel for dispatch key ''. Registered dispatch keys are: allocator::allocate(size_t n) 'n' exceeds maximum supported size, CATCH-ALL[, ]callUnboxed/usr/local/include/ATen/core/boxing/KernelFunction.hboxed_kernel_func_ != nullptr INTERNAL ASSERT FAILED at :, please report a bug to PyTorch. Tried to call KernelFunction::callUnboxed() on an uninitialized KernelFunction.callstack.size() == 1 INTERNAL ASSERT FAILED at A boxed kernel should only push one return to the stackretain_/usr/local/include/c10/util/intrusive_ptr.hnew_refcount != 1 INTERNAL ASSERT FAILED at intrusive_ptr: Cannot increase refcount after it reached zero.reclaimowning_ptr == NullType::singleton() || owning_ptr->refcount_.load() > 0 INTERNAL ASSERT FAILED at intrusive_ptr: Can only intrusive_ptr::reclaim() owning pointers that were created using intrusive_ptr::release().toBool/usr/local/include/ATen/core/ivalue.hisBool() INTERNAL ASSERT FAILED at defaultGenerator/usr/local/include/ATen/Context.h device type not enabled.validate/usr/local/include/c10/core/Device.hDevice index must be -1 or non-negative, got Expected index_ == -1 || index_ >= 0 to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)CPU device index must be -1 or zero, got Expected !is_cpu() || index_ <= 0 to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)aten::arangestartendstepoptionsinsertNode/usr/local/include/torch/csrc/jit/ir.hinsert_before_->inBlockList() && "insert point node is no longer in a block list" INTERNAL ASSERT FAILED at inBlockListprev() == nullptr INTERNAL ASSERT FAILED at aten::arange.start_step(Scalar start, Scalar end, Scalar step, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> TensortensorTypeIdToBackend/usr/local/include/c10/core/Backend.hUnrecognized tensor type ID: backendToDeviceTypeUndefined backend is not a valid device typeUnknown backendcomputeTensorTypeId/usr/local/include/c10/core/TensorOptions.hUnsupported device type for dense layout: Unsupported device type for sparse layout: Unsupported device type for mkldnn layout: Unsupported layout: typeMetaToScalarType/usr/local/include/c10/core/ScalarType.hUnsupported TypeMeta in ATen: (please report this error)StridedSparseMkldnnoperator<</usr/local/include/c10/core/Layout.hUnknown layoutgetOpTable/usr/local/include/ATen/core/ATenDispatch.hNo functions are registered for schema Expected iter != op_tables_.end() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)make_variable/usr/local/include/torch/csrc/autograd/variable.hMust not create a new variable from a variable, use its .tensor_data()TensorImpl with nullptr is not supported~intrusive_ptr_targetrefcount_.load() == 0 INTERNAL ASSERT FAILED at Tried to destruct an intrusive_ptr_target that still has intrusive_ptr to itweakcount_.load() == 0 INTERNAL ASSERT FAILED at Tried to destruct an intrusive_ptr_target that still has weak_intrusive_ptr to itaten::emptysizememory_formataten::empty.memory_format(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensoraten::eyenmaten::eye.m(int n, int m, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::fullfill_valueaten::full(int[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::linspacestepsaten::linspace(Scalar start, Scalar end, int steps=100, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::logspacebaseaten::logspace(Scalar start, Scalar end, int steps=100, float base=10.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::onesaten::ones(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::randaten::rand(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::randintlowhighaten::randint.low(int low, int high, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::randnaten::randn(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::randpermaten::randperm(int n, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::zerosaten::zeros(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::mean(Tensor self, *, ScalarType? dtype=None) -> Tensoraten::mean.dim(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensoraten::sum(Tensor self, *, ScalarType? dtype=None) -> Tensoraten::sum.dim_IntList(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensoraten::argmaxtoTensor/usr/local/include/ATen/core/ivalue_inl.hisTensor() INTERNAL ASSERT FAILED at Expected Tensor but got DoubleIntBoolTupleIntListDoubleListStringTensorListGenericListGenericDictFutureObjectUninitializedCapsuleInvalidTag()aten::catcallUnboxedOnlyfalse INTERNAL ASSERT FAILED at Tried to call KernelFunction::callUnboxedOnly() for a kernel that doesn't have an unboxed version.aten::normScalardoublevalue cannot be converted to type without overflow: int64_taten::minaten::maxaten::_max.max(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) max, Tensor(b!) max_indices) -> (Tensor(a!), Tensor(b!))aten::sqrtaten::expaten::logaten::signaten::unsqueezeaten::dotaten::matmulaten::addaten::add.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)aten::subaten::mulaten::divaten::remainderaten::powTensor_Scalaraten::absaten::negaten::reshapeaten::flattenusing_intsaten::reluaten::conv2d(Tensor input, Tensor weight, Tensor? bias=None, int[2] stride=1, int[2] padding=0, int[2] dilation=1, int groups=1) -> Tensoraten::linear(Tensor input, Tensor weight, Tensor? bias=None) -> Tensoraten::max_pool2daten::avg_pool2daten::dropoutaten::dropout_aten::feature_dropoutaten::feature_dropout_aten::alpha_dropoutaten::alpha_dropout_aten::feature_alpha_dropoutaten::feature_alpha_dropout_aten::embeddingmeanaten::mse_lossaten::nll_loss(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, int ignore_index=-100) -> Tensoraten::numeltoIntisInt() INTERNAL ASSERT FAILED at from_blob/usr/local/include/ATen/Functions.hSpecified device does not match device of data Expected options.device() == device to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)getDeviceFromPtrStorageImpl/usr/local/include/c10/core/StorageImpl.hallocator_ INTERNAL ASSERT FAILED at For resizable storage, allocator must be providedConstructing a storage with meta of unknown type and non-zero numelaten::set_.source_Storage_storage_offset(Tensor(a!) self, Storage source, int storage_offset, int[] size, int[] stride=[]) -> Tensor(a!)aten::is_distributedaten::is_complexaten::is_signeditemsize/usr/local/include/c10/core/TensorImpl.hCannot report itemsize of Tensor that doesn't have initialized dtype (e.g., caffe2::Tensor x(CPU), prior to calling mutable_data() on x)autograd_meta() INTERNAL ASSERT FAILED at requires_grad is not implemented for Tensoraten::view_asaten::addcmul_aten::addcdiv_aten::zero_aten::detach_aten::selectintaten::sliceset_requires_gradset_requires_grad is not implemented for Tensoraten::backward(Tensor self, Tensor? gradient=None, bool keep_graph=False, bool create_graph=False) -> voidaten::to.dtype_layout(Tensor self, *, ScalarType dtype, Layout layout, Device device, bool pin_memory=False, bool non_blocking=False, bool copy=False) -> Tensortensor does not have a devicescalarTypeToTypeMetaUnrecognized Scalartype ByteCharShortLongHalfFloatComplexHalfComplexFloatComplexDoubleQInt8QUInt8QInt32BFloat16UNKNOWN_SCALARaten::viewaten::resize_as_aten::fill_aten::add_aten::normal_aten::sub_aten::mul_aten::div_aten::sqrt_aten::unsqueeze_aten::copy_aten::cloneaten::log_softmax(Tensor self, int dim, ScalarType? dtype=None) -> Tensoraten::dataUnsupported typedata_ptr/usr/local/include/ATen/core/TensorMethods.hexpected scalar type but found Expected scalar_type() == ScalarType::Byte to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Cannot access data pointer of Tensor that doesn't have storageCannot access data pointer of Tensor that doesn't have initialized dtype (e.g., caffe2::Tensor x(CPU), prior to calling mutable_data() on x)Expected scalar_type() == ScalarType::Char to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Short to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Int to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Long to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Float to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Double to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Bool to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)aten::sizeaten::to.device(Tensor self, Device device, ScalarType dtype, bool non_blocking=False, bool copy=False) -> Tensoras_variable_refAttempted to cast a Tensor to a Variable, but the dynamic type of the value is not Variable.VariableTensor that was converted to Variable was not actually a VariablestridedsparseSparse layout not supported yetcpucudaUnsupported device: unknown C++ exception thrownData type is not bound is already bound to a different typebad cast. No caster found for is unboundUnable to convert to Class is not registered/bound in Rice0initializeExpected a Class but got a %snew__rice_casters__messageExpected a Module but got a %s<=>to_sinspect==<>wrong argument type %s (expected %s)Cannot get method id and class for function__rice__ HLXQ!Q QaQQ!QXa 4d9]4 hgGPtJtPJtPKtMtO(u@R`uUuWu Yu0Z v[Lv \\v`\lv]|vP_v`vav0hXwjtwrw`twuw wx`{x@xTx0pxx0y yEPHġIJ NOpR`SТ U@VD@]`4bP`dPej `jj,j<moPtvHz|`zzz0|Ȧ}`8PX`@@0pd04\|`ܩpУ @@\xЪ@$LpPPȫ0D x@@<ppح@ @0t`08l|pp ̰pD`l p  @0L hP ز"#%& @)x .(/T0h@22P4 67D7l9;<ж>@$@CD8EPIdJT`V(\^P^ _bp@befh0jolq rлsPu v y( |D}d~ЉԿTP p8@X``(<`p p0 `0\@|80Xx `,0L 0 ,@"H#h$)p+@,P3T4t5@XCFHI@`K`0LT`V0WP]H^h_egPh`pxqr z{0|PpІ```(PH hp@`P  `\|`@0 P$D \|08 X`00Hh!@#$P)*+0 0H1h280:;@@8AXBxK`M0N( VWX\@^_d<e\pf|oq< v w y     0, L  p  А$ `4 T t З`0P0`p@pЭ(в@``0PXPl0@p0`$0DpxP@P   \|pp@0 (Hh   `  `!!","@"|"0"p"0""# ##p% $0($($$)0$)<$)H$+p$-$.$0/$/$0$ 2 %@48%4L%6`%P7t%8%P>% A%A%B%C&`D&0E,&G@&PHT&Ih&Ix&0J&J&pK&0L&L&M&N&O 'PP 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