Problems configuring the environment

I followed the prompts to configure the environment, but I encountered the following problem. Thank you for helping me see what's wrong.

(base) r-huangdi@dell-gpu-05:~$ conda activate uce
(uce) r-huangdi@dell-gpu-05:~$ cd libing/ConceptExpress-main/
(uce) r-huangdi@dell-gpu-05:~/libing/ConceptExpress-main$ bash scripts/train.sh
The following values were not passed to accelerate launch and had defaults used instead:
--num_machines was set to a value of 1
--mixed_precision was set to a value of 'no'
--dynamo_backend was set to a value of 'no'
To avoid this warning pass in values for each of the problematic parameters or run accelerate config.
Traceback (most recent call last):
File "/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 1900, in _run_ninja_build
subprocess.run(
File "/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/subprocess.py", line 526, in run
raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/LAB/r-huangdi/libing/ConceptExpress-main/train.py", line 45, in
import ptp_utils
File "/home/LAB/r-huangdi/libing/ConceptExpress-main/ptp_utils.py", line 30, in
from emd.emd import SinkhornOT
File "/home/LAB/r-huangdi/libing/ConceptExpress-main/emd/emd.py", line 202, in
wasserstein_ext = torch.utils.cpp_extension.load_inline("wasserstein", cpp_sources="", cuda_sources=cuda_source,
File "/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 1433, in load_inline
return jit_compile(
File "/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 1508, in jit_compile
write_ninja_file_and_build_library(
File "/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 1623, in write_ninja_file_and_build_library
run_ninja_build(
File "/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 1916, in run_ninja_build
raise RuntimeError(message) from e
RuntimeError: Error building extension 'wasserstein': [1/3] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=wasserstein -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include -isystem /home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/TH -isystem /home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/THC -isystem /usr/local/cuda-11.7/include -isystem /home/LAB/r-huangdi/.conda/envs/uce/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=0 -fPIC -std=c++14 -c /home/LAB/r-huangdi/.cache/torch_extensions/py310_cu117/wasserstein/main.cpp -o main.o
[2/3] /usr/local/cuda-11.7/bin/nvcc  -DTORCH_EXTENSION_NAME=wasserstein -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include -isystem /home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/TH -isystem /home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/THC -isystem /usr/local/cuda-11.7/include -isystem /home/LAB/r-huangdi/.conda/envs/uce/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS -D__CUDA_NO_BFLOAT16_CONVERSIONS -D__CUDA_NO_HALF2_OPERATORS --expt-relaxed-constexpr -gencode=arch=compute_70,code=compute_70 -gencode=arch=compute_70,code=sm_70 --compiler-options '-fPIC' --expt-relaxed-constexpr -std=c++14 -c /home/LAB/r-huangdi/.cache/torch_extensions/py310_cu117/wasserstein/cuda.cu -o cuda.cuda.o
FAILED: cuda.cuda.o
/usr/local/cuda-11.7/bin/nvcc  -DTORCH_EXTENSION_NAME=wasserstein -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include -isystem /home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/TH -isystem /home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/THC -isystem /usr/local/cuda-11.7/include -isystem /home/LAB/r-huangdi/.conda/envs/uce/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS -D__CUDA_NO_BFLOAT16_CONVERSIONS -D__CUDA_NO_HALF2_OPERATORS_ --expt-relaxed-constexpr -gencode=arch=compute_70,code=compute_70 -gencode=arch=compute_70,code=sm_70 --compiler-options '-fPIC' --expt-relaxed-constexpr -std=c++14 -c /home/LAB/r-huangdi/.cache/torch_extensions/py310_cu117/wasserstein/cuda.cu -o cuda.cuda.o
/home/LAB/r-huangdi/.cache/torch_extensions/py310_cu117/wasserstein/cuda.cu: In instantiation of   at::Tensor sinkstep_cuda_template(const at::Tensor&, const at::Tensor&, const at::Tensor&, double) [with scalar_t = double]  :
/home/LAB/r-huangdi/.cache/torch_extensions/py310_cu117/wasserstein/cuda.cu:186:70:   required from here
/home/LAB/r-huangdi/.cache/torch_extensions/py310_cu117/wasserstein/cuda.cu:166:94: warning:   at::GenericPackedTensorAccessor<T, N, PtrTraits, index_t> at::Tensor::packed_accessor() const & [with T = double; long unsigned int N = 2ul; PtrTraits = at::RestrictPtrTraits; index_t = int]   is deprecated: packed_accessor is deprecated, use packed_accessor32 or packed_accessor64 instead [-Wdeprecated-declarations]
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
GenericPackedTensorAccessor<T,N,PtrTraits,index_t> packed_accessor() const & {
^
/home/LAB/r-huangdi/.cache/torch_extensions/py310_cu117/wasserstein/cuda.cu:167:92: warning:   at::GenericPackedTensorAccessor<T, N, PtrTraits, index_t> at::Tensor::packed_accessor() const & [with T = double; long unsigned int N = 2ul; PtrTraits = at::RestrictPtrTraits; index_t = int]   is deprecated: packed_accessor is deprecated, use packed_accessor32 or packed_accessor64 instead [-Wdeprecated-declarations]
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
GenericPackedTensorAccessor<T,N,PtrTraits,index_t> packed_accessor() const & {
^
/home/LAB/r-huangdi/.cache/torch_extensions/py310_cu117/wasserstein/cuda.cu:168:96: warning:   at::GenericPackedTensorAccessor<T, N, PtrTraits, index_t> at::Tensor::packed_accessor() const & [with T = double; long unsigned int N = 2ul; PtrTraits = at::RestrictPtrTraits; index_t = int]   is deprecated: packed_accessor is deprecated, use packed_accessor32 or packed_accessor64 instead [-Wdeprecated-declarations]
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
GenericPackedTensorAccessor<T,N,PtrTraits,index_t> packed_accessor() const & {
^
/home/LAB/r-huangdi/.cache/torch_extensions/py310_cu117/wasserstein/cuda.cu:169:94: warning:   at::GenericPackedTensorAccessor<T, N, PtrTraits, index_t> at::Tensor::packed_accessor() const & [with T = double; long unsigned int N = 2ul; PtrTraits = at::RestrictPtrTraits; index_t = int]   is deprecated: packed_accessor is deprecated, use packed_accessor32 or packed_accessor64 instead [-Wdeprecated-declarations]
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
GenericPackedTensorAccessor<T,N,PtrTraits,index_t> packed_accessor() const & {
^
/home/LAB/r-huangdi/.cache/torch_extensions/py310_cu117/wasserstein/cuda.cu: In instantiation of   at::Tensor sinkstep_cuda_template(const at::Tensor&, const at::Tensor&, const at::Tensor&, double) [with scalar_t = float]  :
/home/LAB/r-huangdi/.cache/torch_extensions/py310_cu117/wasserstein/cuda.cu:186:69:   required from here
/home/LAB/r-huangdi/.cache/torch_extensions/py310_cu117/wasserstein/cuda.cu:166:94: warning:   at::GenericPackedTensorAccessor<T, N, PtrTraits, index_t> at::Tensor::packed_accessor() const & [with T = float; long unsigned int N = 2ul; PtrTraits = at::RestrictPtrTraits; index_t = int]   is deprecated: packed_accessor is deprecated, use packed_accessor32 or packed_accessor64 instead [-Wdeprecated-declarations]
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
GenericPackedTensorAccessor<T,N,PtrTraits,index_t> packed_accessor() const & {
^
/home/LAB/r-huangdi/.cache/torch_extensions/py310_cu117/wasserstein/cuda.cu:167:92: warning:   at::GenericPackedTensorAccessor<T, N, PtrTraits, index_t> at::Tensor::packed_accessor() const & [with T = float; long unsigned int N = 2ul; PtrTraits = at::RestrictPtrTraits; index_t = int]   is deprecated: packed_accessor is deprecated, use packed_accessor32 or packed_accessor64 instead [-Wdeprecated-declarations]
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
GenericPackedTensorAccessor<T,N,PtrTraits,index_t> packed_accessor() const & {
^
/home/LAB/r-huangdi/.cache/torch_extensions/py310_cu117/wasserstein/cuda.cu:168:96: warning:   at::GenericPackedTensorAccessor<T, N, PtrTraits, index_t> at::Tensor::packed_accessor() const & [with T = float; long unsigned int N = 2ul; PtrTraits = at::RestrictPtrTraits; index_t = int]   is deprecated: packed_accessor is deprecated, use packed_accessor32 or packed_accessor64 instead [-Wdeprecated-declarations]
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
GenericPackedTensorAccessor<T,N,PtrTraits,index_t> packed_accessor() const & {
^
/home/LAB/r-huangdi/.cache/torch_extensions/py310_cu117/wasserstein/cuda.cu:169:94: warning:   at::GenericPackedTensorAccessor<T, N, PtrTraits, index_t> at::Tensor::packed_accessor() const & [with T = float; long unsigned int N = 2ul; PtrTraits = at::RestrictPtrTraits; index_t = int]   is deprecated: packed_accessor is deprecated, use packed_accessor32 or packed_accessor64 instead [-Wdeprecated-declarations]
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
GenericPackedTensorAccessor<T,N,PtrTraits,index_t> packed_accessor() const & {
^
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::CrossMapLRN2dImpl]  :
/tmp/tmpxft_0034c50d_00000000-6_cuda.cudafe1.stub.c:25:27:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::EmbeddingBagImpl]  :
/tmp/tmpxft_0034c50d_00000000-6_cuda.cudafe1.stub.c:25:27:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::EmbeddingImpl]  :
/tmp/tmpxft_0034c50d_00000000-6_cuda.cudafe1.stub.c:25:27:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::SequentialImpl]  :
/tmp/tmpxft_0034c50d_00000000-6_cuda.cudafe1.stub.c:25:27:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::ParameterDictImpl]  :
/tmp/tmpxft_0034c50d_00000000-6_cuda.cudafe1.stub.c:25:27:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::ModuleListImpl]  :
/tmp/tmpxft_0034c50d_00000000-6_cuda.cudafe1.stub.c:25:27:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::ModuleDictImpl]  :
/tmp/tmpxft_0034c50d_00000000-6_cuda.cudafe1.stub.c:25:27:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::TransformerDecoderImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::TransformerEncoderImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::TransformerDecoderLayerImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::TransformerEncoderLayerImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::GRUCellImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::LSTMCellImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::RNNCellImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::GRUImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::LSTMImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::RNNImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::FractionalMaxPool3dImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::FractionalMaxPool2dImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::ZeroPad2dImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::GroupNormImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::LocalResponseNormImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::LayerNormImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::UnfoldImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::FoldImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::ConvTranspose3dImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::ConvTranspose2dImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::ConvTranspose1dImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::Conv3dImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::Conv2dImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::Conv1dImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::AdaptiveLogSoftmaxWithLossImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::MultiheadAttentionImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::ThresholdImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::LogSoftmaxImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::SoftminImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::SoftmaxImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::BilinearImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::UnflattenImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h: In instantiation of   std::shared_ptrtorch::nn::Module torch::nn::Cloneable::clone(const c10::optionalc10::Device&) const [with Derived = torch::nn::LinearImpl]  :
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/sgd.h:55:48:   required from here
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:58:59: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, at::Tensor>   to type   torch::OrderedDict<std::basic_string, at::Tensor>&
/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:71:61: error: invalid static_cast from type   const torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >   to type   torch::OrderedDict<std::basic_string, std::shared_ptrtorch::nn::Module >&
ninja: build stopped: subcommand failed.
Traceback (most recent call last):
File "/home/LAB/r-huangdi/.conda/envs/uce/bin/accelerate", line 10, in
sys.exit(main())
File "/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/accelerate/commands/accelerate_cli.py", line 45, in main
args.func(args)
File "/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/accelerate/commands/launch.py", line 918, in launch_command
simple_launcher(args)
File "/home/LAB/r-huangdi/.conda/envs/uce/lib/python3.10/site-packages/accelerate/commands/launch.py", line 580, in simple_launcher
raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['/home/LAB/r-huangdi/.conda/envs/uce/bin/python3.1', 'train.py', '--seed', '20', '--instance_data_dir', 'uce_images/69', '--num_of_assets', '50', '--merge_step', '100', '--phase1_train_steps', '500', '--phase2_train_steps', '0', '--output_dir', 'ckpts/test', '--no_prior_preservation', '--checkpointing_steps', '100', '--initial_learning_rate', '5e-4', '--num_split_tokens', '5', '--weight_contrast', '1e-3', '--temperature', '0.07', '--lambda_attention', '1e-5']' returned non-zero exit status 1.

I'm having a similar problem.

you can check your gcc version. gcc=11.2 is ok for me.
---- Replied Message ----
@.>Date10/15/2024<EMAIL_ADDRESS>State @.>SubjectRe: [haoosz/ConceptExpress] Problems configuring the environment (Issue #3)
I'm having a similar problem.
—
Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you modified the open/close state.Message ID: @.***>

$ gcc --version
gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Copyright (C) 2021 Free Software Foundation, Inc.
So can you show me how can I change it to 11.2?Thanks.

i think gcc 11.4 should be fine, i'm not sure the your problem is gcc version.
conda install -c conda-forge gcc=11.2
---- Replied Message ----
@.>Date10/16/2024<EMAIL_ADDRESS>State @.>SubjectRe: [haoosz/ConceptExpress] Problems configuring the environment (Issue #3)
$ gcc --version
gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Copyright (C) 2021 Free Software Foundation, Inc.
So can you show me how can I change it to 11.2?Thanks.
—
Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you modified the open/close state.Message ID: @.***>


Added describe_create_account_status to organizations

Coverage increased (+0.004%) to 93.674% when pulling a6255f9801abdb6f296163e6cddc6c31a6ef7a41 on stephenmuss:orgs-describe-create-account-status into b19abbc63ec2dbaa7802c783942e5925f84aa3b2 on spulec:master.

Coverage increased (+0.004%) to 93.674% when pulling a6255f9801abdb6f296163e6cddc6c31a6ef7a41 on stephenmuss:orgs-describe-create-account-status into b19abbc63ec2dbaa7802c783942e5925f84aa3b2 on spulec:master.


Button right-align does not work

I am just starting to learn Agar coding. The program below does work, though there are some issues. I will study some more, however, one thing that has me stumped, is AG_BOX_RIGHT does not do anything, the "Help" and "OK" buttons still display on the left.
Might as well mention one other thing. The code selects a monospace font, DejaVuSansMono, but that has no effect either.
#include <agar/core.h>
#include <agar/gui.h>

AG_Textbox *tb1;
int showflg = 1;
AG_Button *bpw;

void HelpHandlerFn(AG_Event *event)
{
  char* helpstr =
   "This is a very simple example help popup.\n"
   "Invoked by pressing the Help button.";
  AG_TextMsg(AG_MSG_INFO, helpstr, AG_STRING(1));
}

void OKHandlerFn(AG_Event *event)
{
  AG_Terminate(0);
}

void ShowHandlerFn()
{
  if (showflg==1) {
   showflg=0;
   AG_ButtonTextS(bpw, "Hide");
  }
  else {
   showflg=1;
   AG_ButtonTextS(bpw, "Show");
  }
  AG_TextboxSetPassword(tb1,showflg);
}

int main(int argc, char *argv) {
  AG_Window *win;
  char pw[32];
  AG_Box *box1, *box2;
  AG_Font *fnt1;

  if (AG_InitCore(NULL, 0) == -1 || AG_InitGraphics(0) == -1) {
    return (1);
  }
  win = AG_WindowNew(AG_WINDOW_MAIN|AG_WINDOW_PLAIN);

  fnt1 = AG_FetchFont("DejaVuSansMono",20,0); /*20 pixels*/
  AG_TextFont(fnt1);

  AG_LabelNew(win, 0, "Hello, world!");

  box2 = AG_BoxNewHoriz(win, 0);
  tb1 = AG_TextboxNew(box2, AG_TEXTBOX_MULTILINGUAL, "Password: ");
  /*AG_TextboxBindUTF8(tb1, pw, sizeof(pw));*/
  AG_TextboxSetPassword(tb1,showflg); /*default to show asterisks*/
  AG_TextboxClearString (tb1); /*it does not default to empty*/
  AG_TextboxSizeHint (tb1, "12345678901234567890");
  AG_TextboxSetLang (tb1,AG_LANG_RU); /*ref: include/core/text.h*/
  bpw = AG_ButtonNewFn(box2, 0, "Show", ShowHandlerFn, "");

  box1 = AG_BoxNewHoriz(win, 0);
  AG_BoxSetHorizAlign (box1,AG_BOX_RIGHT);
  AG_ButtonNewFn(box1, 0, "Help", HelpHandlerFn, "%s", "world");
  AG_ButtonNewFn(box1, 0, "OK", OKHandlerFn, "");

  AG_WindowShow(win);

  AG_EventLoop();
  AG_DestroyGraphics();
  AG_Destroy();
  return (0);
}

Try using   box1 = AG_BoxNewHoriz(win, AG_BOX_HFILL);. The trouble is that the buttons are right aligned within the box, but the box itself is still only as large as the buttons, and is itself left aligned. By adding AG_BOX_HFILL, the box takes up the entire width of the window.


3.1.0-beta03

Summary by CodeRabbit
New Features
Introduced new server event types for enhanced debugging capabilities.
Added retry functionality for error handling in various UI components.
Implemented a decorator mechanism for plugins, enhancing flexibility.
Enhanced input validation with new error messages for user feedback.
Bug Fixes
Improved state management and error handling in the debugger server.
Streamlined event handling logic for better performance.
Documentation
Added live templates for faster development within the FlowMVI framework.
Refactor
Restructured several classes and functions for improved clarity and maintainability.
Updated package structures to better organize code.
Tests
Introduced comprehensive test suites for decorators and retry strategies.
Enhanced existing tests to validate new functionalities and error handling.

@coderabbitai resolve


Remove is_unique invariant we don't guarantee

The invariant is checking if the "cached" isUniquelyReferenced result is still valid. The compiler can insert copies for lifetime adjustment during optimizations between the time isUniquelyReferenced is first "cached" to the invariant, such copies don't escape and don't really matter for COW. In such cases, this invariant will fire.
This PR turns off this invariant.
rdar://100530373

I don't have a unit test for this. This was firing in a few sodlib tests in our repository on certain Linux configurations.

@swift-ci smoke test

I am going to close this PR and address the underlying reason here - https://github.com/apple/swift/pull/61826


Duplicate Constants in Color List

https://github.com/AngusJohnson/Image32/blob/6f2fdf846c5c1e1e98db95eee7cf35beb98b91fb/source/Img32.pas#L68
I noticed that some constants in the color list are duplicated:
// custom gray colors
clDarkGray32 = TColor32($FF505050);
clDarkGrey32 = TColor32($FF505050);
// clGray32   = TColor32($FF808080);
// clSilver32 = TColor32($FFC0C0C0);
clLiteGray32 = TColor32($FFD3D3D3);
clLiteGrey32 = TColor32($FFD3D3D3);
clPaleGray32 = TColor32($FFE0E0E0);
clPaleGrey32 = TColor32($FFE0E0E0);
clDarkBtn32  = TColor32($FFE8E8E8);
clBtnFace32  = TColor32($FFF0F0F0);
clLiteBtn32  = TColor32($FFF8F8F8);

Specifically, the following pairs are duplicates:

clDarkGray32 and clDarkGrey32
clLiteGray32 and clLiteGrey32
clPaleGray32 and clPaleGrey32

Could you please confirm if this duplication is intentional? If not, it would be helpful to remove the duplicates to avoid confusion.

It's intentional, and accommodates both English and American spellings.


Blog Post: Setting Django model fields automatically using Oracle Database sequences

Details how to use set_sql_for_field for grabbing sequences or other arbitrary bits from the database for a model save. Also updating some styles and docs along with upgrading core stuff for security.
Full post in context:

This post looks well-constructed. How do I review/approve?


User Denys McDonald repeatedly stuck in confirmed

Date first reported: 3/23/2022
Date requested for completion:
Site: Humanities Commons
Area: account (registration)
Description
User Denys McDonald has made multiple attempts at registering for a Commons account and has been confirmed each time. I expunged the first few attempts, but left the one below for reference. The user has tried different email addresses/login methods and is confirmed each time.
Further details
COmanage: https://registry.hcommons.org/registry/co_people/index/co:2/search.mail:denysmcdonald%40outlook.com/op:search

User role in Comanage is still Confirmed. I've updated it
How to note from Trello days
Usually the user got some error and is partially setup. This procedure assumes that a wpid was created and some kind of authentication was performed (google, twitter, idpolr). If that's not the case expunge and contact the user to register again - sorry.
The role record is linked to the petition.
Go to the CO Person record and Edit the HC Role Attributes record.
Set Status to Active.
This will cause the CO Person Status to become Active and fix both the members and members:HC groups.
Then click Autogenerate Identifiers.
This will create the missing COmanage hcid identifier.
Then Primary Grouper Deployment (GrouperProvisioner) and
Primary LDAP Deployment (LdapProvisioner)
Check LDAP for uid:, isMemberOf: and employeeNumber:

Mike was able to fix Denys and he's now in!


Automated Package Upgrade

:tada: This PR is included in version 7.7.340 :tada:
The release is available on:

npm package (@latest dist-tag)
GitHub release

Your semantic-release bot :package::rocket:


Jenkins build fails

/cc @otawfik-ms @TyOverby
The same build was working before, now it's failing in all new pr.
It's not about run tests suites, the compile only build fails

It's now passing in new PRs (from what I've seen), so closing this


Update Math SIG meeting times.

Pacific time is only 2 hours earlier than Central time.

Sorry for the delay. Thanks for the edit.


Image repositories management should have a default

Which version of kubefirst are you using?
2.3.5
Which cloud provider?
AWS
Which DNS?
None specific
Which installation type?
UI (Console app)
Which distributed Git provider?
None specific
Did you use a fork of gitops-template?
No
Which Operating System?
None specific
What is the issue?
When using advanced option for AWS with the console UI installation, the "Manage image repositories with" option should be defaulted to "GitHub Container Registry" as it is when you do not use advanced options, or use the CLI. In addition to the fact that this is a combobox, which by definition/design, should always have one option selected.
Code of Conduct

[X] I agree to follow this project's Code of Conduct

Should be as per design:
https://www.figma.com/file/we6QSscpQH6MkXilCBO9aT/Kubefirst-Console?type=design&node-id=2976-32421&mode=design&t=2a0tVQGSP8MCOTTM-4


fix(Card): remove duplicate tags from appearing

Fix an issue where the Card tags could duplicate when rendered in Installed tab

Also declared types for ease of maintenance.

I had no idea why it had duplicate tags in the first place but the size of the array seems small enough so the performance overhead won’t be noticeable.

I had no idea why it had duplicate tags in the first place but the size of the array seems small enough so the performance overhead won’t be noticeable.

Fair point lol. I think the filter beforehand is more efficient than anything I could come up with inside the reducer.


Remove range assertion gist:Address from gist:hasCommunicationAddress

The Range of the gist:hasCommunicationAddress object property is Address. This causes unintended reasoning side effects when constructing an ontology that follows the pattern described in the 'Approaching Addresses in GIST' video (https://www.youtube.com/watch?v=8uFWX-xQU-U&feature=youtu.be) - see around 17:05 in the video.
E.g. if I create a Role class that is a subclass of Collection, and give it the following class expression:
'Communication Address Of' some 'Communication Preference'
and 'Communication Preference is a subclass of Category with the following class expression:
'Has Communication Address' some Address
When I run the reasoner, it classifies Role as a SubClass Of Address.
Would be nice to remove the range:Address for gist:hasCommunicationAddress

@ungricht This issue is still in review. If it was assigned to you, the task is to consider it and bring back options/proposals to the group.

@DougalW What is an example of something having a communication address that is not an address? It is a contradiction. Either the range assertion stays, or the meaning of and terms for these concepts needs to be more clear.
The problem might be modeling a Role as a Collection. That does not seem correct to me. What is a role a collection of? Surely not every Role is a collection.

Closing issue.


[Bug] admin-api: update tenant error

What happened:

frontend call admin API:
PUT /v1/tenants/arana
{"name":"new arana","users":[{"id":"123","username":"123","password":"456"}]}

terminal output:
runtime error: invalid memory address or nil pointer dereference

What you expected to happen:
How to reproduce it (as minimally and precisely as possible):
Anything else we need to know?:

fixed


[Docs]Clarify alignment of suggestion in docs

Is your feature request related to a problem? Please describe.
need to align RTL texts from right to left currently the suggestion is sticked to the left side
Describe the solution you'd like
Add Alignment argument to the searchfield widget
Describe alternatives you've considered
Additional context
Ill add a PR for the solution

Hello @udcode, thanks for filing the issue. This is already possible as of today  by passing a child property to
SearchFieldListItem e.g see this answer https://github.com/maheshmnj/searchfield/issues/40#issuecomment-1208920478
 SearchField(
      suggestions: _statesOfIndia
      .map((e) => SearchFieldListItem(e,
          child: Align(
              alignment: Alignment.centerRight,
              child: Text(e,
                  style: TextStyle(color: Colors.red),
              ),
          )
        ).toList(),
...
)

there have been similar issue reports in the past
https://github.com/maheshmnj/searchfield/issues/66
https://github.com/maheshmnj/searchfield/issues/40

So I believe we should just clarify this in the readme/docs with an example and it should resolve.

Fixed in Release v0.8.4
Thank you for your contribution!
cc: @udcode


Correction for raw affiliation Service Diabétologie, Centre Hospitalier Narbonne, Narbonne

Correction needed for raw affiliation Service Diabétologie, Centre Hospitalier Narbonne, Narbonne
raw_affiliation_name: Service Diabétologie, Centre Hospitalier Narbonne, Narbonne
new_rors:
previous_rors: 022m8c549
works_examples: W2089513270;W2706779610
contact: 982f2272bfbc25ed16cee0daaa246645:3ffc1b1017d0ff76d90509b075604f9b5006 @ inrae.fr

This issue was accepted and ingested by the OpenAlex team on 2024-10-09. The new affiliations should be visible within the next 7 days.


Simplify iris dataset starters example.

Motivation and Context

Currently, the pandas-iris starter and documentation contain four nodes split across two modular pipelines, and the hand-crafted linear regression data science algorithm is quite complicated. I think this example should be simpler than spaceflights, not more complicated.
Opted to convert the examples to linear regression to find the coefficient of determination between sepal length and other features.
Implemented a simple 1-nearest neighbour classifier and calculated its accuracy.
related to: https://github.com/kedro-org/kedro/issues/1393
Development Notes
Remade the pandas-iris starter through kedro new on Kedro 0.18.0
How has this been tested?

Checklist

[x] Opened this PR as a 'Draft Pull Request' if it is work-in-progress
[x] Assigned myself to the PR
[ ] Added tests to cover my changes

Yes I remade with 0.18.0 hooks.py may have slipped in while I was copying some stuff over I have removed it. Also added .gitignore back in.

As per @noklam's comments that there's not really any model training going on, I wonder if we should go for the following terminology for function names, etc.:

split_data
make_predictions
report_accuracy


Please fix anime world india

Source information
Anime world India 14.8
Source language
Multi
Steps to reproduce
When I want to watch any anime it shows 6 secs of the clip
Expected behavior
To let me watch the whole episode
Actual behavior
Shows 6 seconds of the episode
Aniyomi version
Preview r7493
Android version
Android 13
Other details
No response
Acknowledgements

[X] I have searched the existing issues and this is a new ticket, NOT a duplicate or related to another open or closed issue.
[X] I have written a short but informative title.
[X] I have updated the app to version <IP_ADDRESS>.
[X] I have updated all installed extensions.
[X] I have tried the troubleshooting guide.
[X] If this is an issue with the app itself, I should be opening an issue in the app repository.
[X] I will fill out all of the requested information in this form.

One workaround for now is to use an external player. Long press the episode and click the bottom right icon and preferably use vlc.
Though it should be kept in mind that some series are not playing sounds
So the best workaround is to change the default user agent in settings->Advanced->Default User Agents and paste the first one in this link


feat: plugin fusion

提供配置能力如下：

importStyle: 开启后 Fusion 组件样式将自动引入
themePackage: Fusion 组件主题包配置
theme: 主题变量配置

其他能力说明：

历史业务组件样式规范 style 通过 webpack-plugin-import 引入
多主题能力考虑提供单独的插件

Codecov Report

Merging #424 (cca89f5) into release-next (2878e55) will not change coverage.
The diff coverage is n/a.

@@              Coverage Diff              @@
##           release-next     #424   +/-   ##
=============================================
  Coverage         81.98%   81.98%
=============================================
  Files                85       85
  Lines              7334     7334
  Branches            920      920
=============================================
  Hits               6013     6013
  Misses             1314     1314
  Partials              7        7

Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here.


Handling content interface styles

Content Interface has a collection of defined styles.  Typically done using CSS.  But content editor won't handle that.  Explore a juiceit like alternative

[ ] apply the CSS as per normal for content interface
[ ] does juice it do a reasonable conversion
[ ] is it a conversion that works in Canvas RCE
[ ] Generate warnings for those not converted (e.g. blackboardLinks)
[ ] Remove unrequired components (e.g. ContentInterface = heading)

The process

CAR process generates Word docs with dual word styles indicating the beginning and end of complex Content Interface styles (e.g. activity, flashback etc)
word2Canvas converts these back into normal HTML
It also "juices" the HTML to embed in the RCE

[ ] Flashback
[ ] Canary exercise
[ ] Weekly workout
[ ] Activity
[ ] Reading
[ ] blockquote
[ ] picture
[ ] pictureRight
[ ] ??

Issues

[ ] Content interface styles working - only working because content interface CSS is in the userscript
[ ] fix up missing styles - after completing the tranistion

Activity lists not showi
They are becoming paragraphs?? - numbered lists - COM14 Week 1 - Save it for later (Assignment 2) - bulleted lists are working
gu_addedAdvice
Juice it not working?

Picture and Picture Right
These images are picked up somewhere and turned into Embed code

can/should this be wrapped in a before/after style like the others?


Update iauthorizationpolicyprovider.md

The example on line 79 did not match the name of the AuthorizeAttribute ("MinimumAgeAuthorizeAttribute") on line 49.
More specifically, it was missing the "Attribute" suffix.

The suffix AuthorizeAttribute can be dropped when it's used in an attribute like [MinimumAgeAuthorize(10)]
[MinimumAgeAuthorize( is used 3 times in the topic.


[error message feedback][TEST] provide feedback for sadhikari

🛑 IMPORTANT: You can get your feedback addressed faster if you use the comment section for the article in which you encountered a problem.
Problem:
The message indicates that the value is invalid. However  it does not explicitly mention the list of valid categories. The value i have here is a valid category from the list https://review.docs.microsoft.com/en-us/help/contribute/architecture-center/aac-browser-authoring?branch=main#azure-categories.
It would be helpful if the error listed out the link to the categories its checking against.
Log code info
(This is auto filled, no need to modify)

Severity
Type
Code
Category
File
Message
Source
Line
Time

Error
User
sadhikari

architecture-center
solution-idea
conceptual

Link to report
(This is auto filled, no need to modify)
report url

@v-lkasturi this is the wrong place to report build errors. Read the build report, it has a link. Can you close this issue?


Can not create private cluster with VMSS masters

Is this a request for help?:
Help
Is this an ISSUE or FEATURE REQUEST? (choose one):
ISSUE
What version of acs-engine?:
Version: canary
GitCommit: e89eb97
GitTreeState: dirty
Orchestrator and version (e.g. Kubernetes, DC/OS, Swarm)
Kubernetes
What happened:
I tried to deploy a private cluster with master's availability profile set to VirtualMachineScaleSets but it failed with:
FATA[0017] resources.DeploymentsClient#CreateOrUpdate: Failure sending request: StatusCode=0 -- Original Error: autorest/azure: Service returned an error. Status=400 Code="InvalidTemplate" Message="Deployment template validation failed: 'The template variable 'masterPublicIPAddressName' is not found. Please see https://aka.ms/arm-template/#variables for usage details.'."
What you expected to happen:
To create a private cluster with master VMSS
How to reproduce it (as minimally and precisely as possible):
acs-engine deploy -g my-cluster-k8s --dns-prefix my-cluster --location australiaeast --api-model kubernetes.json --subscription-id XXXXX
Anything else we need to know:
The kubernetes.json :
{
"apiVersion": "vlabs",
"properties": {
"orchestratorProfile": {
"orchestratorType": "Kubernetes",
"orchestratorRelease": "1.10",
"kubernetesConfig": {
"enableEncryptionWithExternalKms": true,
"privateCluster": {
"enabled": true,
"jumpboxProfile": {
"name": "jumpbox",
"vmSize": "Standard_D2s_v3",
"osDiskSizeGB": 30,
"username": "azureuser",
"publicKey": "ssh-rsa XXXX"
}
}
}
},
"masterProfile": {
"count": 3,
"dnsPrefix": "",
"vmSize": "Standard_D2s_v3",
"vnetSubnetId": "/subscriptions/XXXX/resourceGroups/XXXX/providers/Microsoft.Network/virtualNetworks/vnet/subnets/XXXX",
"agentVnetSubnetId": "/subscriptions/XXXX/resourceGroups/XXXX/providers/Microsoft.Network/virtualNetworks/vnet/subnets/XXXX",
"availabilityProfile": "VirtualMachineScaleSets",
"vnetCIDR": "<IP_ADDRESS>/22"
},
"agentPoolProfiles": [
{
"name": "nodes",
"count": 2,
"vmSize": "Standard_D4s_v3",
"availabilityProfile": "VirtualMachineScaleSets",
"vnetSubnetId": "/subscriptions/XXXX/resourceGroups/XXXX/providers/Microsoft.Network/virtualNetworks/vnet/subnets/XXXX"
}
],
"linuxProfile": {
"adminUsername": "azureuser",
"ssh": {
"publicKeys": [
{
"keyData": "ssh-rsa XXXX"
}
]
}
},
"servicePrincipalProfile": {
"clientId": "XXXX",
"secret": "XXXX",
"objectId": "XXXX"
}
}
}

@uzd VMSS master implementation is still in progress, the private cluster feature is not yet supported.

https://github.com/Azure/acs-engine/pull/3936


Update react-native-svg peerDependencies

Hi, first of all, excellent package!
I'm writing to ask if react-native-svg can be changed to<EMAIL_ADDRESS>in order to avoid conflicts with default expo versions (SDK 51 uses<EMAIL_ADDRESS>and this gives an error with dep resolving.
This can be resolved with --force or --legacy-peer-deps but i think it would be a lot nicer if this is avoided.
If you are interested I can make a PR and that version/change seems correct for you.
PD: sorry for the first report of this issue. I press enter early by error

Hello, it's my fault, you can fix it :)


complete implementation of SubstraitStringify

https://github.com/substrait-io/substrait-java/pull/293 brought in a SubstraitStringify utility to generate more readable plan summaries. However, the current implementation does not fully handle all nodes.
We should complete it's implementation, or choose/implement an alternative string encoding.

Happy to take this on.


Fixed TruncateAll bug from CockroachDB dialect with database version 19.1.1

Especially problematic on running tests if using same fixture data in multiple tests.

Oops! Need to PR against the development branch, not master.

Oh, yes,  will do :)

replaced by https://github.com/gobuffalo/pop/pull/387


Switch to Curve25519 Implementation from WhisperSystems

Current EC framework isn't thread-safe (https://github.com/vRallev/ECC-25519/issues/4), so switching to Curve25519 is needed even before merging the pull request with a constructor getting a seed as an argument ( https://github.com/WhisperSystems/curve25519-java/pull/7 ).

Done with ws-curve25519 branch merging


Letter Shuffle Button

Describe the problem
Sometimes, when stuck, you just want a button to help you randomly shuffle the existing letters, to keep the ideas flowing.
Describe the proposed solution
A button with something like the 🔄 symbol that just randomly shuffled the letters (maybe only usable once per second) would be real handy.
Alternatives considered
No response
Additional Information
No response

I was considering adding this myself, but I thought about it more and am worried that the meta will become to spam shuffle until it is close to being solved.
I wouldn't be opposed to have it added, but I think it would be good to test to make sure it's still faster to just solve it.

Alternative: shuffle but it's on a short cooldown.

Super agree on having a cooldown. I'd propose 3 seconds as a first try, though 5 seconds wouldn't be the worst.

Ok! We can test it and see how it feels. Open for either you or anyone else to work on it if they want.


Add pinlast to Contributors list

Just adding me to contributors.
First pull request, yey!

I'm quite elated about your pull request. I wanna evolve this project to addresses various problems faced by first-time contributors. I'd love to learn about your journey in open source community, the problems, pain points you had etc.
Could you explain how you felt when you went through the tutorial, made a pull request and learned that I merged it?
We’ve recently added Facebook share and tweet feature to our web app. Could you please go to https://roshanjossey.github.io/first-contributions/#social-share and share your first contribution to open source?
Also, check out projects with easy issues while you’re there.


SPA Core bundle does not start when installed on 6.5.0 - 6.5.7[bug]

Describe the bug
When the react core package is installed directly or via Archetype 25, the core bundle does NOT start on v6.5.0, nor on v6.5.7. The error message is com.adobe.cq.wcm.core.components.models,version=[12.15,13) -- Cannot be resolved
Root Cause

The core component version referenced in the pom.xml is 2.11.1 which has a version that does NOT meet the minimum requirements for the referenced package.

Local env remediation

Added core.components.all package as a subpackage to the all/pom.xml
Upgraded the core component version from 2.11.1 to 2.14

Recommended Fix
*Upgrade the core components minimum version from 2.11.1 to the 2.14 release of the core components to resolve the issue

Configure the bnd exports / bundle start priority configuration to export the package vs setting as a sub-package as noted in the all/pom.xml

Related issue
Once I upgraded the component version and deployed it locally, the bundles started, but then I noted a new issue was raised via the aem-analyze feature which states the following...which I will log on another ticket
[ERROR] com.adobe.aem:spa.project.core.core:1.2.3-SNAPSHOT: Bundle spa.project.core.core:1.2.3-SNAPSHOT is importing package(s) Package com.adobe.cq.wcm.core.components.models;version=[12.18,13) in start level 20 but no visible bundle is exporting these for that start level in the required version range.
Package version
1.2.0
1.2.3
To Reproduce
Steps to reproduce the behavior:

(Option 1) Create a project with the archetype properties referenced in the attachment, and install on a local author instance running 6.5.0 or 6.5.7

(Option 2) Install a clean instance of 6.5.0 or 6.5.7 and install the packages from release 1.2.0

Expected behavior
When packages are installed, the bundles will start

Internally tracked by CQ-4317712

tldr;
Bundle starts fine when we would use correct parameter while generating a project from the Archetype.
Use aemVersion= 6.5.5 and NOT cloud
Situation:
When trying to install the aem-spa-project-core bundle directly on a 6.5.7 instance, I could reproduce this issue.
Investigation:
Basically, what happens is that the 6.5.0 sample-content-instance includes the 2.3.2 version of the core components.
Since, servicepacks don't include any core components package, 6.5.7 instance (sample-content) also has the 2.3.2 version of core components.
Now, The 2.3.2 core components export 12.7.0 version of com.adobe.cq.wcm.core.components.models package. See [1].
Whereas, aem-spa-project-core-1.2.0 has a dependency (scope: provided) on 2.11.1 version of core components (See [2]) and hence expects com.adobe.cq.wcm.core.components.models; version="[12.15, 13). See [3] or check manifest-headers of the spa-project-core bundle.
That is the reason the bundle doesn't activate.
Feedback on the suggested fix:
Increasing the dependency to 2.14 would only further increase the version required for the core.components.models package. So, that does't help here and is not related to this issue.
Adding core.components.all package as a sub-package to the all/pom.xml might help, BUT, is not really needed.
Because i don't expect this aem-spa-project-core to be installed solo on the AEM instance.
There would be some sample content like website or maybe a project generated from the archetype that would be installed on AEM.
The Archetype already, as expected, includes the Core components (for non-cloud AEM) and spa-project-core. See [4].
Verification that issue doesn't occur with Archetype 25:
Archetype 25 is already including the correct versions of Core components and spa-project-core -
<spa.project.core.version>1.2.0</spa.project.core.version>
and
<core.wcm.components.version>2.13.0</core.wcm.components.version>
See [5] and [6].
I also verified by generating a project from the archetype and installing on an AEM instance and all bundles are activated.
Then, i also tried re-installing spa-project-core on that instance and still all bundles were activated, as expected.
Suspected mistake in reproduction steps reported -
The gap here is that you are using aemVersion=cloud parameter while generating the archetype but installing that on a 6.5.7 instance. (Based on the file attached in https://github.com/adobe/aem-spa-project-core/issues/28)
You should use aemVersion=6.5.7.
Please note -
Set aemVersion=cloud for AEM as a Cloud Service; Set aemVersion=6.5.5 for Adobe Managed Services, or on-premise. The Core Components dependency is only added for non cloud aem versions as the Core Components are provided OOTB for AEM as a Cloud Service.
Reference:
Conclusion:
Given that, I would suggest to close this issue and #28 as No fix is required here.
[1] : https://github.com/adobe/aem-core-wcm-components/blob/core.wcm.components.reactor-2.3.2/bundles/core/src/main/java/com/adobe/cq/wcm/core/components/models/package-info.java#L37
[2] : https://github.com/adobe/aem-spa-project-core/blob/spa.project.core-1.2.0/pom.xml#L34
[3] : https://github.com/adobe/aem-core-wcm-components/blob/core.wcm.components.reactor-2.11.1/bundles/core/src/main/java/com/adobe/cq/wcm/core/components/models/package-info.java#L37
[4] : https://experienceleague.adobe.com/docs/experience-manager-learn/spa-react-tutorial/create-project.html?lang=en#author-content (Build the project - point 6)
[5] : https://github.com/adobe/aem-project-archetype/blob/aem-project-archetype-25/src/main/archetype/pom.xml#L83
[6] : https://github.com/adobe/aem-project-archetype/blob/aem-project-archetype-25/src/main/archetype/pom.xml#L68
[7] : https://github.com/adobe/aem-project-archetype#usage


[Install] Print errors at the end of installation instead of inline

This needs test coverage

This should no longer treat every install as an error

:umbrella: The latest upstream changes (presumably #4832) made this pull request unmergeable. Please resolve the merge conflicts.

Fix'd

@homu r+

:pushpin: Commit 69617aa has been approved by indirect

:hourglass: Testing commit 69617aa with merge e641c5a...

:sunny: Test successful - status


Spurrious  (and awesome) GL glitchout upon laptop close/reopen

Lenovo TP T450, Ubuntu 16.04.2. Alacritty 0.1.0. I have not seen this one very often, but when it happens, it's spectacular. The screencap doesn't even do it justice; it transforms in 3D-ish ways as I type.
.
THESE ARE THE FAILURE MODES OF THE FUTURE WHICH WE WERE PROMISED IN BLADERUNNER

@jwilm Consider not fixing this purely because of how blazingly awesome it is. :D
I'm only half-joking.

@liz-mars You MUST give us a video! The tubes of the internets demand it! :)

Next time it happens I will ^_^

Woah. Not fair, I can't write bugs like that!  :grinning:

@Aventura5
Joke is on you folks; I don't know how to start fixing bugs like that! :upside_down_face:
@liz-mars thanks for filing this one. I hereby grant you the Coolest Bug :tm: award. :trophy:
In all seriousness, I wouldn't know where to start trying to repro this, and as far as I know, you're the only one affected. If that's actually true, I'd suspect an issue with your display server or hardware.

@jwilm It's quite all right; I'd be sad to forego an opporunity to see this again. (It's a rare treat.)
Here's wishing you happy hacking...on every other ticket. ~_^ And thanks for alacritty, it's awesome!

We need a config option to enable this bug to affect all of us 😁


keep streaming something when hdmi input drops

The device should always stream (send video data over usb)  something.
if the hdmi signal drops or is invalid or whatever, something should be sent.
test pattern, static "invalid signal", last frame, .. anything.
Otherwise the recording and live stream systems have to contend with this state, and that's hard.

The new HDMI2USB-misoc-firmware doesn't suffer from these problems.


Add Replicate demo and API

Hey @jongwook! 👋
This PR includes the files for the demo on replicate https://replicate.com/openai/whisper,
thanks again for acknowledging the demo!

Hi Chenxi, thanks for building the demo page. I've been trying to keep this repo minimal with the core components only and directing third-party integrations to the show and tell page. This would allow preventing overcrowding of the root directory and README.md.
Would you mind posting the link and/or introduction to that page instead?


NVIDIA CUDA Ampere architecture support for Regent

Hello, is there any plan to include Ampere among the CUDA architectures supported by Regent?
Is it sufficient to add the new architecture to this list to test it?
https://gitlab.com/StanfordLegion/legion/-/blob/control_replication/language/src/regent/cudahelper.t#L198-205

I believe we support ampere in regent: https://gitlab.com/StanfordLegion/legion/-/blob/control_replication/language/src/regent/cudahelper.t#L205 The prerequisite is to build terra with llvm 13.0, which is the version that supports ampere in nvptx.

@magnatelee I just added that line. :-)
I confirmed that we have a user who has been using Regent in online mode with LLVM 11. The patch I just sent in will (hopefully) enable offline mode as well. Waiting for @mariodirenzo to confirm.

The new patch, together with LLVM 11, solves the issue.
Thanks!


Anonymous structs might not be handled correctly in Surelog.

module anon_module

   (
    output logic                                    all_done
    );

   typedef struct packed {
     logic                      a;
     logic                      b;
   } typedef_struct_thing;

   typedef_struct_thing [50:0]   data;

   struct packed {
     logic a;
     logic [100:0]      b;
   } [200:0] anon_struct;

   always_comb begin
     data[0].a = 0; //ok
     anon_struct[0].a = 0; // Not ok
     all_done = anon_struct.a;
   end

endmodule : anon_module

Problem observed in https://github.com/SymbiFlow/yosys-symbiflow-plugins/issues/218. The issue seems to be that there's a difference between the way anonymous structs are handled vs typedefed ones. I believe adding a dynamically generated typedef name for anonymous structs would also fix this issue.

If I simplify the test as:
module anon_module ();

   typedef struct packed {
     logic                      a;
   } typedef_struct_thing;

   typedef_struct_thing /*[50:0]*/ data;

   struct packed {
     logic a;
   } /*[200:0]*/ anon_struct;

  assign   data.a = 0; //ok
  assign anon_struct.a = 0; // Not ok

endmodule

The following UHDM is correct for both types, the hier path as a actual for the corresponding var and member:
  |vpiContAssign:
  \_cont_assign: , id:23, line:23:12, endln:23:22, parent:work@anon_module, parID:22
    |vpiRhs:
    \_constant: , id:6, line:23:21, endln:23:22, parID:7
    |vpiLhs:
    \_hier_path: (data.a), id:24, line:23:12, endln:23:16, parID:23
      |vpiName:data.a
      |vpiActual:
      \_ref_obj: (data), id:25, parent:data.a, parID:24
        |vpiName:data
        |vpiActual:
        \_struct_net: (work@anon_module.data), id:13, line:13:38, endln:13:42, parent:work@anon_module, parID:22
      |vpiActual:
      \_ref_obj: (a), id:26, parent:data.a, parID:24
        |vpiName:a
        |vpiActual:
        \_typespec_member: (a), id:2, line:8:33, endln:8:34
  |vpiContAssign:
  \_cont_assign: , id:27, line:24:10, endln:24:27, parent:work@anon_module, parID:22
    |vpiRhs:
    \_constant: , id:11, line:24:26, endln:24:27, parID:12
    |vpiLhs:
    \_hier_path: (anon_struct.a), id:28, line:24:10, endln:24:21, parID:27
      |vpiName:anon_struct.a
      |vpiActual:
      \_ref_obj: (anon_struct), id:29, parent:anon_struct.a, parID:28
        |vpiName:anon_struct
        |vpiActual:
        \_struct_net: (work@anon_module.anon_struct), id:17, line:19:18, endln:19:29, parent:work@anon_module, parID:22
      |vpiActual:
      \_ref_obj: (a), id:30, parent:anon_struct.a, parID:28
        |vpiName:a
        |vpiActual:
        \_typespec_member: (a), id:16, line:17:12, endln:17:13

If I re-add the arrays and the bit selects:
module anon_module ();

   typedef struct packed {
     logic                      a;
   } typedef_struct_thing;

   typedef_struct_thing [50:0] data;

   struct packed {
     logic a;
   } [200:0] anon_struct;

  assign   data[0].a = 0; //ok
  assign anon_struct[0].a = 0; // Not ok

endmodule

Then both bindings don't happen (No vpiActual for bit_select objects), so the problem is not specific to one struct vs the anonymous struct. Not in UHDM at least, it is pretty consistent.
Now the question would be do we need to extend the bit_select and part_select to have vpiActual members so we can attach the bound object (the variable).
  |vpiContAssign:
  \_cont_assign: , id:37, line:13:12, endln:13:25, parent:work@anon_module, parID:36
    |vpiRhs:
    \_constant: , id:7, line:13:24, endln:13:25, parID:8
    |vpiLhs:
    \_hier_path: (data[0].a), id:38, line:13:12, endln:13:16, parID:37
      |vpiName:data[0].a
      |vpiActual:
      \_bit_select: (data), id:39<EMAIL_ADDRESS>parID:40
        |vpiName:data
        |vpiIndex:
        \_constant: , id:4, line:13:17, endln:13:18
      |vpiActual:
      \_ref_obj: (a), id:41, parent:data[0].a, parID:38
        |vpiName:a
  |vpiContAssign:
  \_cont_assign: , id:42, line:14:10, endln:14:30, parent:work@anon_module, parID:36
    |vpiRhs:
    \_constant: , id:13, line:14:29, endln:14:30, parID:14
    |vpiLhs:
    \_hier_path: (anon_struct[0].a), id:43, line:14:10, endln:14:21, parID:42
      |vpiName:anon_struct[0].a
      |vpiActual:
      \_bit_select: (work@anon_module.anon_struct), id:44<EMAIL_ADDRESS>parID:45
        |vpiName:anon_struct
<EMAIL_ADDRESS>        |vpiIndex:
        \_constant: , id:10, line:14:22, endln:14:23
      |vpiActual:
      \_ref_obj: (a), id:46, parent:anon_struct[0].a, parID:43
        |vpiName:a

I also filed this bug in the plugin repo https://github.com/SymbiFlow/yosys-symbiflow-plugins/issues/218. @kbieganski do you have any thoughts on the correct approach?

We already have all necessary information to add support for this in yosys. I've added support for this in: https://github.com/SymbiFlow/yosys-symbiflow-plugins/pull/233. I think we can close this issue, as we don't need this nodes to have vpiActual (for yosys).


analyze multi face in one img

Hi, I noticed that DeepFace.analyze only analyze the first face detect in one img.
So do you assume that user will pre-crop image with multi faces into separate ones?
@serengil

yes, it is designed to analyze single face in an image. if there are more than one face, then it will analyze the first one it found.


Fix wrong suggestion on slang

KamusSlang still returns 200 when no entry matches. Instead, it would return a suggestion. We don't need the suggestion / near word entries. Just reject it.

Coverage increased (+1.5%) to 91.818% when pulling edc1399d1c3b34b779b881dcc7d94045a236cfa4 on wazaundtechnik:hotfix/fix-slang into dce76a49e72f368c8e2f0ea3f1c210f76202b0c8 on tulul:master.

Coverage increased (+1.5%) to 91.818% when pulling 683c26861d88072d6a864edc1f370908fccea48e on wazaundtechnik:hotfix/fix-slang into dce76a49e72f368c8e2f0ea3f1c210f76202b0c8 on tulul:master.