ninja: build stopped: subcommand failed

[neilrathi01]

Hi while testing the installation. I encountered the following error:

python main.py data/obama/ --workspace trial_obama/ -O --test --ckpt trial_obama/checkpoints/ngp.pth

/opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options/conv.h:61:3: note: candidate expects 1 argument, 0 provided /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options/conv.h:64:18: note: candidate: 'decltype(auto) torch::nn::detail::ConvNdOptions<D>::padding(std::initializer_list<long int>) [with long unsigned int D = 2]' 64 | decltype(auto) padding(std::initializer_list<int64_t> il) { | ^~~~~~~ /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options/conv.h:64:18: note: candidate expects 1 argument, 0 provided /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h: In instantiation of 'void torch::nn::ConvNdImpl<D, Derived>::reset_parameters() [with long unsigned int D = 2; Derived = torch::nn::ConvTranspose2dImpl]': /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:101:5: required from 'void torch::nn::ConvNdImpl<D, Derived>::reset() [with long unsigned int D = 2; Derived = torch::nn::ConvTranspose2dImpl]' /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:33:8: required from here /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:105:27: error: cannot convert 'const torch::enumtype::kFanIn' to 'int' 105 | init::kaiming_uniform_( | ~~~~~~~~~~~~~~~~~~~~~~^ | | | const torch::enumtype::kFanIn 106 | weight, | ~~~~~~~ 107 | /*a=*/std::sqrt(5)); // NOLINT(cppcoreguidelines-avoid-magic-numbers) | ~~~~~~~~~~~~~~~~~~~ /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/init.h:99:17: note: initializing argument 3 of 'at::Tensor torch::nn::init::kaiming_uniform_(at::Tensor, double, int, int)' 99 | FanModeType mode = torch::kFanIn, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h: In instantiation of 'const torch::ExpandingArray<D>& torch::nn::ConvTransposeNdImpl<D, Derived>::padding() const [with long unsigned int D = 1; Derived = torch::nn::ConvTranspose1dImpl]': /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:288:23: required from 'void torch::nn::ConvTransposeNdImpl<D, Derived>::pretty_print(std::ostream&) const [with long unsigned int D = 1; Derived = torch::nn::ConvTranspose1dImpl; std::ostream = std::basic_ostream<char>]' /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:282:8: required from here /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:313:61: error: no matching function for call to 'torch::nn::detail::ConvNdOptions<1>::padding() const' 313 | return std::get<ExpandingArray<D>>(this->options.padding()); | ~~~~~~~~~~~~~~~~~~~~~^~ /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options/conv.h:61:3: note: candidate: 'decltype (*(torch::nn::detail::ConvNdOptions<D>*)this) torch::nn::detail::ConvNdOptions<D>::padding(const int&) [with long unsigned int D = 1; decltype (*(torch::nn::detail::ConvNdOptions<D>*)this) = torch::nn::detail::ConvNdOptions<1>&]' 61 | TORCH_ARG(padding_t, padding) = 0; | ^~~~~~~~~ /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options/conv.h:61:3: note: candidate expects 1 argument, 0 provided /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options/conv.h:61:3: note: candidate: 'decltype (*(torch::nn::detail::ConvNdOptions<D>*)this) torch::nn::detail::ConvNdOptions<D>::padding(int&&) [with long unsigned int D = 1; decltype (*(torch::nn::detail::ConvNdOptions<D>*)this) = torch::nn::detail::ConvNdOptions<1>&]' 61 | TORCH_ARG(padding_t, padding) = 0; | ^~~~~~~~~ /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options/conv.h:61:3: note: candidate expects 1 argument, 0 provided /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options/conv.h:64:18: note: candidate: 'decltype(auto) torch::nn::detail::ConvNdOptions<D>::padding(std::initializer_list<long int>) [with long unsigned int D = 1]' 64 | decltype(auto) padding(std::initializer_list<int64_t> il) { | ^~~~~~~ /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options/conv.h:64:18: note: candidate expects 1 argument, 0 provided /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h: In instantiation of 'void torch::nn::ConvNdImpl<D, Derived>::reset_parameters() [with long unsigned int D = 1; Derived = torch::nn::ConvTranspose1dImpl]': /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:101:5: required from 'void torch::nn::ConvNdImpl<D, Derived>::reset() [with long unsigned int D = 1; Derived = torch::nn::ConvTranspose1dImpl]' /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:33:8: required from here /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:105:27: error: cannot convert 'const torch::enumtype::kFanIn' to 'int' 105 | init::kaiming_uniform_( | ~~~~~~~~~~~~~~~~~~~~~~^ | | | const torch::enumtype::kFanIn 106 | weight, | ~~~~~~~ 107 | /*a=*/std::sqrt(5)); // NOLINT(cppcoreguidelines-avoid-magic-numbers) | ~~~~~~~~~~~~~~~~~~~ /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/init.h:99:17: note: initializing argument 3 of 'at::Tensor torch::nn::init::kaiming_uniform_(at::Tensor, double, int, int)' 99 | FanModeType mode = torch::kFanIn, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h: In instantiation of 'void torch::nn::ConvNdImpl<D, Derived>::reset_parameters() [with long unsigned int D = 3; Derived = torch::nn::Conv3dImpl]': /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:101:5: required from 'void torch::nn::ConvNdImpl<D, Derived>::reset() [with long unsigned int D = 3; Derived = torch::nn::Conv3dImpl]' /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:33:8: required from here /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:105:27: error: cannot convert 'const torch::enumtype::kFanIn' to 'int' 105 | init::kaiming_uniform_( | ~~~~~~~~~~~~~~~~~~~~~~^ | | | const torch::enumtype::kFanIn 106 | weight, | ~~~~~~~ 107 | /*a=*/std::sqrt(5)); // NOLINT(cppcoreguidelines-avoid-magic-numbers) | ~~~~~~~~~~~~~~~~~~~ /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/init.h:99:17: note: initializing argument 3 of 'at::Tensor torch::nn::init::kaiming_uniform_(at::Tensor, double, int, int)' 99 | FanModeType mode = torch::kFanIn, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h: In instantiation of 'void torch::nn::ConvNdImpl<D, Derived>::reset_parameters() [with long unsigned int D = 2; Derived = torch::nn::Conv2dImpl]': /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:101:5: required from 'void torch::nn::ConvNdImpl<D, Derived>::reset() [with long unsigned int D = 2; Derived = torch::nn::Conv2dImpl]' /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:33:8: required from here /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:105:27: error: cannot convert 'const torch::enumtype::kFanIn' to 'int' 105 | init::kaiming_uniform_( | ~~~~~~~~~~~~~~~~~~~~~~^ | | | const torch::enumtype::kFanIn 106 | weight, | ~~~~~~~ 107 | /*a=*/std::sqrt(5)); // NOLINT(cppcoreguidelines-avoid-magic-numbers) | ~~~~~~~~~~~~~~~~~~~ /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/init.h:99:17: note: initializing argument 3 of 'at::Tensor torch::nn::init::kaiming_uniform_(at::Tensor, double, int, int)' 99 | FanModeType mode = torch::kFanIn, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h: In instantiation of 'void torch::nn::ConvNdImpl<D, Derived>::reset_parameters() [with long unsigned int D = 1; Derived = torch::nn::Conv1dImpl]': /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:101:5: required from 'void torch::nn::ConvNdImpl<D, Derived>::reset() [with long unsigned int D = 1; Derived = torch::nn::Conv1dImpl]' /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:33:8: required from here /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h:105:27: error: cannot convert 'const torch::enumtype::kFanIn' to 'int' 105 | init::kaiming_uniform_( | ~~~~~~~~~~~~~~~~~~~~~~^ | | | const torch::enumtype::kFanIn 106 | weight, | ~~~~~~~ 107 | /*a=*/std::sqrt(5)); // NOLINT(cppcoreguidelines-avoid-magic-numbers) | ~~~~~~~~~~~~~~~~~~~ /opt/conda/envs/ernerf/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/init.h:99:17: note: initializing argument 3 of 'at::Tensor torch::nn::init::kaiming_uniform_(at::Tensor, double, int, int)' 99 | FanModeType mode = torch::kFanIn, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ ninja: build stopped: subcommand failed.

Ubuntu Version : 22.04 [ Jammy ]

How do I solve this error?
Thanks

[zhpuxin]

same problem. wsl ubuntu 22.04