Comments (19)
ASDen
commented on September 23, 2024
one thing to note that is not directly mentioned is that the required minimum CUDA compute capability is 3.0
from clstm.
Halfish
commented on September 23, 2024
@ASDen Yes, the GPU in my school lab is powerful enough. But I wonder how to enable the GPU, because I got compile error when I run scons gpu=1 clstmocrtrain.
Here is the nvcc.log
In file included from clstm_compute_cuda.cc:9:0:
clstm_compute.cc:49:0: warning: "CLSTM_ALL_TENSOR" redefined [enabled by default]
#define CLSTM_ALL_TENSOR
^
<command-line>:0:0: note: this is the location of the previous definition
utils.h(230): warning: statement is unreachable
utils.h(247): warning: statement is unreachable
/usr/local/include/eigen3/Eigen/src/Core/util/Memory.h(585): warning: calling a __host__ function from a __host__ __device__ function is not allowed
detected during:
instantiation of "void Eigen::internal::smart_copy_helper<T, false>::run(const T *, const T *, T *) [with T=ocropus::IndexPair]"
(575): here
instantiation of "void Eigen::internal::smart_copy(const T *, const T *, T *) [with T=ocropus::IndexPair]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Core/util/EmulateArray.h(114): here
instantiation of "Eigen::array<T, n>::array(std::initializer_list<T>) [with T=ocropus::IndexPair, n=1UL]"
clstm_compute.cc(101): here
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h(251): warning: dynamic initialization in unreachable code
detected during:
instantiation of "Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index, Index) const [with Scalar=ocropus::Float, Index=Eigen::DenseIndex, side=1, Tensor=Eigen::TensorEvaluator<const ocropus::TensorMap2, Eigen::GpuDevice>, nocontract_t=Eigen::array<Eigen::DenseIndex, 1UL>, contract_t=Eigen::array<Eigen::DenseIndex, 1UL>, packet_size=4, inner_dim_contiguous=true, inner_dim_reordered=false, Alignment=0, AlignmentType=0]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(572): here
instantiation of "void Eigen::EigenFloatContractionKernelInternal16x16<Index,LhsMapper,RhsMapper,OutputMapper,CHECK_LHS_BOUNDARY,CHECK_RHS_BOUNDARY>(LhsMapper, RhsMapper, OutputMapper, float2 (*)[16], float2 (*)[8], Index, Index, Index, Index, Index) [with Index=Eigen::DenseIndex, LhsMapper=Eigen::internal::TensorContractionInputMapper<ocropus::Float, Eigen::DenseIndex, 1, Eigen::TensorEvaluator<const ocropus::TensorMap2, Eigen::GpuDevice>, Eigen::array<Eigen::DenseIndex, 1UL>, Eigen::array<Eigen::DenseIndex, 1UL>, 4, true, false, 0>, RhsMapper=Eigen::internal::TensorContractionInputMapper<ocropus::Float, Eigen::DenseIndex, 0, Eigen::TensorEvaluator<const ocropus::TensorMap2, Eigen::GpuDevice>, Eigen::array<Eigen::DenseIndex, 1UL>, Eigen::array<Eigen::DenseIndex, 1UL>, 4, true, true, 0>, OutputMapper=Eigen::internal::blas_data_mapper<ocropus::Float, Eigen::DenseIndex, 0, 0>, CHECK_LHS_BOUNDARY=false, CHECK_RHS_BOUNDARY=false]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1190): here
instantiation of "void Eigen::EigenFloatContractionKernel16x16(LhsMapper, RhsMapper, OutputMapper, Index, Index, Index) [with Index=Eigen::DenseIndex, LhsMapper=Eigen::internal::TensorContractionInputMapper<ocropus::Float, Eigen::DenseIndex, 1, Eigen::TensorEvaluator<const ocropus::TensorMap2, Eigen::GpuDevice>, Eigen::array<Eigen::DenseIndex, 1UL>, Eigen::array<Eigen::DenseIndex, 1UL>, 4, true, false, 0>, RhsMapper=Eigen::internal::TensorContractionInputMapper<ocropus::Float, Eigen::DenseIndex, 0, Eigen::TensorEvaluator<const ocropus::TensorMap2, Eigen::GpuDevice>, Eigen::array<Eigen::DenseIndex, 1UL>, Eigen::array<Eigen::DenseIndex, 1UL>, 4, true, true, 0>, OutputMapper=Eigen::internal::blas_data_mapper<ocropus::Float, Eigen::DenseIndex, 0, 0>]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1363): here
instantiation of "void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Indices, LeftArgType, RightArgType>, Eigen::GpuDevice>::evalTyped<lhs_inner_dim_contiguous,rhs_inner_dim_contiguous,rhs_inner_dim_reordered,Alignment>(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Indices, LeftArgType, RightArgType>, Eigen::GpuDevice>::Scalar *) const [with Indices=const ocropus::Axes1, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, RightArgType=const ocropus::TensorMap2, lhs_inner_dim_contiguous=true, rhs_inner_dim_contiguous=true, rhs_inner_dim_reordered=true, Alignment=0]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1281): here
instantiation of "void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Indices, LeftArgType, RightArgType>, Eigen::GpuDevice>::evalTo(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Indices, LeftArgType, RightArgType>, Eigen::GpuDevice>::Scalar *) const [with Indices=const ocropus::Axes1, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, RightArgType=const ocropus::TensorMap2]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1268): here
instantiation of "__nv_bool Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Indices, LeftArgType, RightArgType>, Eigen::GpuDevice>::evalSubExprsIfNeeded(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Indices, LeftArgType, RightArgType>, Eigen::GpuDevice>::Scalar *) [with Indices=const ocropus::Axes1, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, RightArgType=const ocropus::TensorMap2]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h(131): here
instantiation of "__nv_bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::Scalar *) [with LeftArgType=Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, RightArgType=const Eigen::TensorContractionOp<const ocropus::Axes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, const ocropus::TensorMap2>, Device=Eigen::GpuDevice]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(219): here
instantiation of "void Eigen::internal::TensorExecutor<Expression, Eigen::GpuDevice, false>::run(const Expression &, const Eigen::GpuDevice &) [with Expression=const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, const Eigen::TensorContractionOp<const ocropus::Axes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, const ocropus::TensorMap2>>]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h(35): here
instantiation of "Eigen::TensorDevice<ExpressionType, DeviceType> &Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived &) [with ExpressionType=Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, DeviceType=ocropus::Device, OtherDerived=Eigen::TensorContractionOp<const ocropus::Axes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, const ocropus::TensorMap2>]"
clstm_compute.cc(286): here
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h(251): warning: dynamic initialization in unreachable code
detected during:
instantiation of "Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index, Index) const [with Scalar=ocropus::Float, Index=Eigen::DenseIndex, side=0, Tensor=Eigen::TensorEvaluator<const ocropus::TensorMap2, Eigen::GpuDevice>, nocontract_t=Eigen::array<Eigen::DenseIndex, 1UL>, contract_t=Eigen::array<Eigen::DenseIndex, 1UL>, packet_size=4, inner_dim_contiguous=true, inner_dim_reordered=false, Alignment=0, AlignmentType=0]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(580): here
instantiation of "void Eigen::EigenFloatContractionKernelInternal16x16<Index,LhsMapper,RhsMapper,OutputMapper,CHECK_LHS_BOUNDARY,CHECK_RHS_BOUNDARY>(LhsMapper, RhsMapper, OutputMapper, float2 (*)[16], float2 (*)[8], Index, Index, Index, Index, Index) [with Index=Eigen::DenseIndex, LhsMapper=Eigen::internal::TensorContractionInputMapper<ocropus::Float, Eigen::DenseIndex, 1, Eigen::TensorEvaluator<const ocropus::TensorMap2, Eigen::GpuDevice>, Eigen::array<Eigen::DenseIndex, 1UL>, Eigen::array<Eigen::DenseIndex, 1UL>, 4, true, false, 0>, RhsMapper=Eigen::internal::TensorContractionInputMapper<ocropus::Float, Eigen::DenseIndex, 0, Eigen::TensorEvaluator<const ocropus::TensorMap2, Eigen::GpuDevice>, Eigen::array<Eigen::DenseIndex, 1UL>, Eigen::array<Eigen::DenseIndex, 1UL>, 4, true, false, 0>, OutputMapper=Eigen::internal::blas_data_mapper<ocropus::Float, Eigen::DenseIndex, 0, 0>, CHECK_LHS_BOUNDARY=false, CHECK_RHS_BOUNDARY=false]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1190): here
instantiation of "void Eigen::EigenFloatContractionKernel16x16(LhsMapper, RhsMapper, OutputMapper, Index, Index, Index) [with Index=Eigen::DenseIndex, LhsMapper=Eigen::internal::TensorContractionInputMapper<ocropus::Float, Eigen::DenseIndex, 1, Eigen::TensorEvaluator<const ocropus::TensorMap2, Eigen::GpuDevice>, Eigen::array<Eigen::DenseIndex, 1UL>, Eigen::array<Eigen::DenseIndex, 1UL>, 4, true, false, 0>, RhsMapper=Eigen::internal::TensorContractionInputMapper<ocropus::Float, Eigen::DenseIndex, 0, Eigen::TensorEvaluator<const ocropus::TensorMap2, Eigen::GpuDevice>, Eigen::array<Eigen::DenseIndex, 1UL>, Eigen::array<Eigen::DenseIndex, 1UL>, 4, true, false, 0>, OutputMapper=Eigen::internal::blas_data_mapper<ocropus::Float, Eigen::DenseIndex, 0, 0>]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1363): here
instantiation of "void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Indices, LeftArgType, RightArgType>, Eigen::GpuDevice>::evalTyped<lhs_inner_dim_contiguous,rhs_inner_dim_contiguous,rhs_inner_dim_reordered,Alignment>(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Indices, LeftArgType, RightArgType>, Eigen::GpuDevice>::Scalar *) const [with Indices=const ocropus::Axes1, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, RightArgType=const ocropus::TensorMap2, lhs_inner_dim_contiguous=true, rhs_inner_dim_contiguous=true, rhs_inner_dim_reordered=false, Alignment=0]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1284): here
instantiation of "void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Indices, LeftArgType, RightArgType>, Eigen::GpuDevice>::evalTo(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Indices, LeftArgType, RightArgType>, Eigen::GpuDevice>::Scalar *) const [with Indices=const ocropus::Axes1, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, RightArgType=const ocropus::TensorMap2]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1268): here
instantiation of "__nv_bool Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Indices, LeftArgType, RightArgType>, Eigen::GpuDevice>::evalSubExprsIfNeeded(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Indices, LeftArgType, RightArgType>, Eigen::GpuDevice>::Scalar *) [with Indices=const ocropus::Axes1, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, RightArgType=const ocropus::TensorMap2]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h(131): here
instantiation of "__nv_bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::Scalar *) [with LeftArgType=Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, RightArgType=const Eigen::TensorContractionOp<const ocropus::Axes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, const ocropus::TensorMap2>, Device=Eigen::GpuDevice]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(219): here
instantiation of "void Eigen::internal::TensorExecutor<Expression, Eigen::GpuDevice, false>::run(const Expression &, const Eigen::GpuDevice &) [with Expression=const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, const Eigen::TensorContractionOp<const ocropus::Axes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, const ocropus::TensorMap2>>]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h(35): here
instantiation of "Eigen::TensorDevice<ExpressionType, DeviceType> &Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived &) [with ExpressionType=Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, DeviceType=ocropus::Device, OtherDerived=Eigen::TensorContractionOp<const ocropus::Axes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, const ocropus::TensorMap2>]"
clstm_compute.cc(286): here
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1268): warning: calling a __host__ function from a __host__ __device__ function is not allowed
detected during:
instantiation of "__nv_bool Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Indices, LeftArgType, RightArgType>, Eigen::GpuDevice>::evalSubExprsIfNeeded(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Indices, LeftArgType, RightArgType>, Eigen::GpuDevice>::Scalar *) [with Indices=const ocropus::Axes1, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, RightArgType=const ocropus::TensorMap2]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h(131): here
instantiation of "__nv_bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::Scalar *) [with LeftArgType=Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, RightArgType=const Eigen::TensorContractionOp<const ocropus::Axes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, const ocropus::TensorMap2>, Device=Eigen::GpuDevice]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(219): here
instantiation of "void Eigen::internal::TensorExecutor<Expression, Eigen::GpuDevice, false>::run(const Expression &, const Eigen::GpuDevice &) [with Expression=const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, const Eigen::TensorContractionOp<const ocropus::Axes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, const ocropus::TensorMap2>>]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h(35): here
instantiation of "Eigen::TensorDevice<ExpressionType, DeviceType> &Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived &) [with ExpressionType=Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, DeviceType=ocropus::Device, OtherDerived=Eigen::TensorContractionOp<const ocropus::Axes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, const ocropus::TensorMap2>]"
clstm_compute.cc(286): here
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1272): warning: calling a __host__ function from a __host__ __device__ function is not allowed
detected during:
instantiation of "__nv_bool Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Indices, LeftArgType, RightArgType>, Eigen::GpuDevice>::evalSubExprsIfNeeded(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Indices, LeftArgType, RightArgType>, Eigen::GpuDevice>::Scalar *) [with Indices=const ocropus::Axes1, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, RightArgType=const ocropus::TensorMap2]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h(131): here
instantiation of "__nv_bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::Scalar *) [with LeftArgType=Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, RightArgType=const Eigen::TensorContractionOp<const ocropus::Axes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, const ocropus::TensorMap2>, Device=Eigen::GpuDevice]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(219): here
instantiation of "void Eigen::internal::TensorExecutor<Expression, Eigen::GpuDevice, false>::run(const Expression &, const Eigen::GpuDevice &) [with Expression=const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, const Eigen::TensorContractionOp<const ocropus::Axes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, const ocropus::TensorMap2>>]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h(35): here
instantiation of "Eigen::TensorDevice<ExpressionType, DeviceType> &Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived &) [with ExpressionType=Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, DeviceType=ocropus::Device, OtherDerived=Eigen::TensorContractionOp<const ocropus::Axes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, const ocropus::TensorMap2>]"
clstm_compute.cc(286): here
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorIndexList.h(535): warning: calling a constexpr __host__ function("run") from a __host__ __device__ function("indices_statically_known_to_increase") is not allowed. The experimental flag '--expt-relaxed-constexpr' can be used to allow this.
detected during:
instantiation of "__nv_bool Eigen::internal::indices_statically_known_to_increase<T>() [with T=const ocropus::Indexes1]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h(94): here
instantiation of class "Eigen::internal::are_inner_most_dims<ReducedDims, NumTensorDims, 0> [with ReducedDims=const ocropus::Indexes1, NumTensorDims=2]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h(434): here
instantiation of class "Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, ArgType>, Device> [with Op=Eigen::internal::SumReducer<ocropus::Float>, Dims=const ocropus::Indexes1, ArgType=const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, Device=Eigen::GpuDevice]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h(314): here
instantiation of class "Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device> [with BinaryOp=Eigen::internal::scalar_sum_op<ocropus::Float>, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 1, 0, Eigen::DenseIndex>, 0>, RightArgType=const Eigen::TensorReductionOp<Eigen::internal::SumReducer<ocropus::Float>, const ocropus::Indexes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>>, Device=Eigen::GpuDevice]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h(97): here
instantiation of class "Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device> [with LeftArgType=Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 1, 0, Eigen::DenseIndex>, 0>, RightArgType=const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<ocropus::Float>, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 1, 0, Eigen::DenseIndex>, 0>, const Eigen::TensorReductionOp<Eigen::internal::SumReducer<ocropus::Float>, const ocropus::Indexes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>>>, Device=Eigen::GpuDevice]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h(83): here
instantiation of class "Eigen::internal::IsVectorizable<Eigen::GpuDevice, Expression> [with Expression=const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 1, 0, Eigen::DenseIndex>, 0>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<ocropus::Float>, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 1, 0, Eigen::DenseIndex>, 0>, const Eigen::TensorReductionOp<Eigen::internal::SumReducer<ocropus::Float>, const ocropus::Indexes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>>>>]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h(88): here
processing of template argument list for "Eigen::internal::TensorExecutor" based on template arguments <const Assign, ocropus::Device>
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h(46): here
instantiation of "Eigen::TensorDevice<ExpressionType, DeviceType> &Eigen::TensorDevice<ExpressionType, DeviceType>::operator+=(const OtherDerived &) [with ExpressionType=Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 1, 0, Eigen::DenseIndex>, 0>, DeviceType=ocropus::Device, OtherDerived=Eigen::TensorReductionOp<Eigen::internal::SumReducer<ocropus::Float>, const ocropus::Indexes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>>]"
clstm_compute.cc(298): here
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h(547): warning: calling a __host__ function from a __host__ __device__ function is not allowed
detected during:
instantiation of "__nv_bool Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, ArgType>, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, ArgType>, Device>::CoeffReturnType *) [with Op=Eigen::internal::SumReducer<ocropus::Float>, Dims=const ocropus::Indexes1, ArgType=const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, Device=Eigen::DefaultDevice]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h(131): here
instantiation of "__nv_bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::Scalar *) [with LeftArgType=Eigen::Tensor<ocropus::Float, 1, 0, Eigen::DenseIndex>, RightArgType=const Eigen::TensorReductionOp<Eigen::internal::SumReducer<ocropus::Float>, const ocropus::Indexes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>>, Device=Eigen::DefaultDevice]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(57): here
instantiation of "void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression &, const Eigen::DefaultDevice &) [with Expression=const Eigen::TensorAssignOp<Eigen::Tensor<ocropus::Float, 1, 0, Eigen::DenseIndex>, const Eigen::TensorReductionOp<Eigen::internal::SumReducer<ocropus::Float>, const ocropus::Indexes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>>>]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/Tensor.h(392): here
instantiation of "Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType_>::Tensor(const Eigen::TensorBase<OtherDerived, 0> &) [with Scalar_=ocropus::Float, NumIndices_=1, Options_=0, IndexType_=Eigen::DenseIndex, OtherDerived=Eigen::TensorReductionOp<Eigen::internal::SumReducer<ocropus::Float>, const ocropus::Indexes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>>]"
clstm_compute.cc(335): here
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h(564): warning: calling a __host__ function from a __host__ __device__ function is not allowed
detected during:
instantiation of "__nv_bool Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, ArgType>, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, ArgType>, Device>::CoeffReturnType *) [with Op=Eigen::internal::SumReducer<ocropus::Float>, Dims=const ocropus::Indexes1, ArgType=const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>, Device=Eigen::DefaultDevice]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h(131): here
instantiation of "__nv_bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::Scalar *) [with LeftArgType=Eigen::Tensor<ocropus::Float, 1, 0, Eigen::DenseIndex>, RightArgType=const Eigen::TensorReductionOp<Eigen::internal::SumReducer<ocropus::Float>, const ocropus::Indexes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>>, Device=Eigen::DefaultDevice]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(57): here
instantiation of "void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression &, const Eigen::DefaultDevice &) [with Expression=const Eigen::TensorAssignOp<Eigen::Tensor<ocropus::Float, 1, 0, Eigen::DenseIndex>, const Eigen::TensorReductionOp<Eigen::internal::SumReducer<ocropus::Float>, const ocropus::Indexes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>>>]"
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/Tensor.h(392): here
instantiation of "Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType_>::Tensor(const Eigen::TensorBase<OtherDerived, 0> &) [with Scalar_=ocropus::Float, NumIndices_=1, Options_=0, IndexType_=Eigen::DenseIndex, OtherDerived=Eigen::TensorReductionOp<Eigen::internal::SumReducer<ocropus::Float>, const ocropus::Indexes1, const Eigen::TensorMap<Eigen::Tensor<ocropus::Float, 2, 0, Eigen::DenseIndex>, 0>>]"
clstm_compute.cc(335): here
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1281): warning: calling a __host__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalTyped<(bool)1, (bool)1, (bool)1, (int)0> ") from a __host__ __device__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalSubExprsIfNeeded") is not allowed
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1284): warning: calling a __host__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalTyped<(bool)1, (bool)1, (bool)0, (int)0> ") from a __host__ __device__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalSubExprsIfNeeded") is not allowed
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1289): warning: calling a __host__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalTyped<(bool)1, (bool)0, (bool)1, (int)0> ") from a __host__ __device__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalSubExprsIfNeeded") is not allowed
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1292): warning: calling a __host__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalTyped<(bool)1, (bool)0, (bool)0, (int)0> ") from a __host__ __device__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalSubExprsIfNeeded") is not allowed
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1299): warning: calling a __host__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalTyped<(bool)0, (bool)1, (bool)1, (int)0> ") from a __host__ __device__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalSubExprsIfNeeded") is not allowed
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1302): warning: calling a __host__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalTyped<(bool)0, (bool)1, (bool)0, (int)0> ") from a __host__ __device__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalSubExprsIfNeeded") is not allowed
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1307): warning: calling a __host__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalTyped<(bool)0, (bool)0, (bool)1, (int)0> ") from a __host__ __device__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalSubExprsIfNeeded") is not allowed
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1310): warning: calling a __host__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalTyped<(bool)0, (bool)0, (bool)0, (int)0> ") from a __host__ __device__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalSubExprsIfNeeded") is not allowed
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1281): warning: calling a __host__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalTyped<(bool)1, (bool)1, (bool)1, (int)0> ") from a __host__ __device__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalSubExprsIfNeeded") is not allowed
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1284): warning: calling a __host__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalTyped<(bool)1, (bool)1, (bool)0, (int)0> ") from a __host__ __device__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalSubExprsIfNeeded") is not allowed
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1289): warning: calling a __host__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalTyped<(bool)1, (bool)0, (bool)1, (int)0> ") from a __host__ __device__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalSubExprsIfNeeded") is not allowed
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1292): warning: calling a __host__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalTyped<(bool)1, (bool)0, (bool)0, (int)0> ") from a __host__ __device__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalSubExprsIfNeeded") is not allowed
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1299): warning: calling a __host__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalTyped<(bool)0, (bool)1, (bool)1, (int)0> ") from a __host__ __device__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalSubExprsIfNeeded") is not allowed
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1302): warning: calling a __host__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalTyped<(bool)0, (bool)1, (bool)0, (int)0> ") from a __host__ __device__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalSubExprsIfNeeded") is not allowed
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1307): warning: calling a __host__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalTyped<(bool)0, (bool)0, (bool)1, (int)0> ") from a __host__ __device__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalSubExprsIfNeeded") is not allowed
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionCuda.h(1310): warning: calling a __host__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalTyped<(bool)0, (bool)0, (bool)0, (int)0> ") from a __host__ __device__ function("Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<int> , (unsigned long)1ul> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> , const Eigen::TensorMap<Eigen::Tensor<float, (int)2, (int)0, long> , (int)0> > , Eigen::GpuDevice> ::evalSubExprsIfNeeded") is not allowed
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h(349): error: identifier "__T216" is undefined in device code
/usr/local/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h(359): error: identifier "__T217" is undefined in device code
2 errors detected in the compilation of "/tmp/tmpxft_00003910_00000000-8_clstm_compute_cuda.cpp2.i".from clstm.
haihaoshen
commented on September 23, 2024
Any idea to enable GPU to build clstm?
from clstm.
Halfish
commented on September 23, 2024
No idea.
from clstm.
melody-rain
commented on September 23, 2024
got the same error.
cannot find __T216 in TensorReduction.h...
from clstm.
melody-rain
commented on September 23, 2024
check assert(false && "Not implemented"); in TensorReduction.h.
what is false && "Not implemented"? I just comment the line of code and it compiles successfully.
from clstm.
melody-rain
commented on September 23, 2024
updating eigen seems to fix the problem...
from clstm.
chinakook
commented on September 23, 2024
it could really have not been implemented as the assertion
from clstm.
mattndu
commented on September 23, 2024
Has anyone had success getting this to work? I successfully compiled it for GPU, but it doesn't train -- I get segmentation fault.
If anyone has made this work, what kind of training times are you seeing?
This library looks really cool, unfortunately seeing reports of 50+ days of training time (for the Japanese data), makes me think it might be practically unusable.
from clstm.
chinakook
commented on September 23, 2024
I think the mini-batch size cannot be set in clstm until now, so the GPU version may not be faster than the CPU one. If you want to accelerate the training, please try torch with cudnn V5, in which library the training speed up 5x when using batch-size 64.
from clstm.
PedroBarcha
commented on September 23, 2024
I've got the same issue. Have you found out any solution?
Halfish , @mattndu
from clstm.
mattndu
commented on September 23, 2024
I switched over to this. It's a bitch to setup, but It works great. It drives my GPU at 70% or so, but it's still a little slow. Probably 3-4x faster than clstmocr though. I think it's just inherently slow due to the serial nature of the training:
https://github.com/dmlc/mxnet/tree/master/example/warpctc
from clstm.
bluefa1con
commented on September 23, 2024
@mattndu hey mind giving a heads up on setting it up? The input format and requirements
I got this error compiling it, clstm is painfully slow for me so want something that uses GPU
/usr/lib/gcc/x86_64-linux-gnu/5/include/mwaitxintrin.h(36): error: identifier "__builtin_ia32_monitorx" is undefined
/usr/lib/gcc/x86_64-linux-gnu/5/include/mwaitxintrin.h(42): error: identifier "__builtin_ia32_mwaitx" is undefined
2 errors detected in the compilation of "/tmp/tmpxft_000035a0_00000000-16_reduce.compute_52.cpp1.ii".
CMake Error at warpctc_generated_reduce.cu.o.cmake:266 (message):
Error generating file
/home/user/Workspace/warpctc/warp-ctc/build/CMakeFiles/warpctc.dir/src/./warpctc_generated_reduce.cu.o
CMakeFiles/warpctc.dir/build.make:70: recipe for target 'CMakeFiles/warpctc.dir/src/warpctc_generated_reduce.cu.o' failed
make[2]: *** [CMakeFiles/warpctc.dir/src/warpctc_generated_reduce.cu.o] Error 1
CMakeFiles/Makefile2:141: recipe for target 'CMakeFiles/warpctc.dir/all' failed
make[1]: *** [CMakeFiles/warpctc.dir/all] Error 2
Makefile:127: recipe for target 'all' failed
make: *** [all] Error 2
UPDATE: Use these flags in CMAKECACHE.txt "-D_MWAITXINTRIN_H_INCLUDED -D_FORCE_INLINES -D__STRICT_ANSI__"
from clstm.
bluefa1con
commented on September 23, 2024
@mattndu hey man not to bother you about this but I ran into a few errors while getting it compiling
its mostly related to gcc, how did you fix them?
/usr/include/c++/5/bits/stl_iterator_base_types.h(156): error: name followed by "::" must be a class or namespace name
detected during:
instantiation of class "std::__iterator_traits<_Iterator, void> [with _Iterator=int]"
(163): here
from clstm.
moucmou
commented on September 23, 2024
How did you succeed later? I also tried using gpu to speed up training，I also failed！！
my gpu driver
and my cuda
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Sep__1_21:08:03_CDT_2017
Cuda compilation tools, release 9.0, V9.0.176
Can anyone help me? Sincere thanks ！！
from clstm.
melody-rain
commented on September 23, 2024
@moucmou there is no need to use this library any longer. A lot of deep learning frameworks support lstm, which can be used.
from clstm.
amitdo
commented on September 23, 2024
@melody-rain,
You have a typo in your profile page. It should be 'Computer vision and deep learning'.
from clstm.
melody-rain
commented on September 23, 2024
@amitdo Thanks : )
from clstm.
mittagessen
commented on September 23, 2024
@moucmou if you want a mostly out of the box OCR with gpu acceleration you could use @andbue's kraken branch that uses pytorch instead of clstm. IIRC it's performance isn't as it still trains using SGD but to be frank when you do OCR with some hacked-together tensorflow-scripts it probably won't be significantly faster, especially when figuring in compile/model loading times.
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Related Issues (20)
- core dumped, w != 0 failed
- Missing last char of the line. HOT 4
- Sort and Sed commands are causing the model not to train (ERROR 1/OUT is empty) HOT 2
- Arabic 800,000 model cant go below Error Rate 0.5 HOT 4
- Always missing one character in the output HOT 3
- Can I use this tool to do scene text detection + recognition ? HOT 2
- Is it possible to train multiple languages on a one model file ? HOT 6
- Error in training uw3-500
- clstmocr - error opening clstm file (trained model) HOT 8
- Segmentation fault when running clstmocr on pre-trained model HOT 1
- Error while using clstm models that I trained and test it !
- I want to use gpu to speed up training model! How do I do, I follow the previous issu to do but failed
- error: use of undeclared identifier 'environ' HOT 6
- How to optimally prepare the data
- Segmentation Fault when running tests HOT 1
- Inaccurate training
- question: clstmocrtrain on GPU
- How to make predictions using python code
- Is there a graphical depiction of the model being used/trained here? HOT 4
- question HOT 2
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