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SomeoneSerge/jbfmbrk0i179jm31m19gfg3ng0bhcw2w-ocaml4.14.1-torch-0.17.drv.log Secret

Created March 22, 2023 18:57
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nix log /nix/store/jbfmbrk0i179jm31m19gfg3ng0bhcw2w-ocaml4.14.1-torch-0.17.drv
Raw
jbfmbrk0i179jm31m19gfg3ng0bhcw2w-ocaml4.14.1-torch-0.17.drv.log
This file has been truncated, but you can view the full file.
@nix { "action": "setPhase", "phase": "unpackPhase" }
unpacking sources
unpacking source archive /nix/store/ah11v1brqyvs8w14gga94hswa4svlyay-source
source root is source
@nix { "action": "setPhase", "phase": "patchPhase" }
patching sources
@nix { "action": "setPhase", "phase": "configurePhase" }
configuring
no configure script, doing nothing
@nix { "action": "setPhase", "phase": "buildPhase" }
building
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5 | (cxx_names torch_api)
^^^^^^^^^
(cd _build/default/src/wrapper && /nix/store/rj91g41smpmp92xvhx6rjxz6878bn2b4-gcc-wrapper-12.2.0/bin/gcc -std=c++14 -fPIC -D_GLIBCXX_USE_CXX11_ABI=1 -isystem /nix/store/8mmnns702jx77x8gx9rmi8fa3g2r6bqj-python3.10-torch-2.0.0-dev/include -isystem /nix/store/8mmnns702jx77x8gx9rmi8fa3g2r6bqj-python3.10-torch-2.0.0-dev/include/torch/csrc/api/include -g -I /nix/store/civfdhzq3m79g5x545gc2wb0mm0np4q7-ocaml-4.14.1/lib/ocaml -I /nix/store/752nib4gcrmgfl93zrm2mmaxjkww9dvi-ocaml4.14.1-ctypes-0.20.1/lib/ocaml/4.14.1/site-lib/ctypes -I /nix/store/civfdhzq3m79g5x545gc2wb0mm0np4q7-ocaml-4.14.1/lib/ocaml/threads -I /nix/store/m7nh2d7sf1v7qs6kj5rzmkrlhah79qq9-ocaml4.14.1-integers-0.7.0/lib/ocaml/4.14.1/site-lib/integers -I /nix/store/m9pi1nhmimz7kzf01x8lx1ccdz944w88-ocaml4.14.1-bigarray-compat-1.1.0/lib/ocaml/4.14.1/site-lib/bigarray-compat -I /nix/store/xnmxiy02p5nc6m1mrlzb5fwi0xf478n3-ocaml4.14.1-stdlib-shims-0.3.0/lib/ocaml/4.14.1/site-lib/stdlib-shims -o torch_api.o -c torch_api.cpp)
In file included from torch_api.cpp:9:
torch_api_generated.cpp.h: In function 'void atg__flash_scaled_dot_product_attention(at::Tensor**, tensor, tensor, tensor, tensor, tensor, int64_t, int64_t, double, int)':
torch_api_generated.cpp.h:1014:29: error: '_flash_scaled_dot_product_attention' is not a member of 'torch'
1014 | auto outputs__ = torch::_flash_scaled_dot_product_attention(*query, *key, *value, *cum_seq_q, *cum_seq_k, max_q, max_k, dropout_p, (bool)is_causal);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__lstm_mps_out(at::Tensor**, tensor, tensor, tensor, tensor, tensor, tensor, at::Tensor**, int, at::Tensor**, int, int, int64_t, double, int, int, int)':
torch_api_generated.cpp.h:1368:102: error: invalid initialization of reference of type 'const at::Tensor&' from expression of type 'std::vector<at::Tensor>'
1368 | auto outputs__ = torch::_lstm_mps_out(*out0, *out1, *out2, *out3, *out4, *input, of_carray_tensor(hx_data, hx_len), of_carray_tensor(params_data, params_len), (bool)has_biases, num_layers, dropout, (bool)train, (bool)bidirectional, (bool)batch_first);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
In file included from /nix/store/8mmnns702jx77x8gx9rmi8fa3g2r6bqj-python3.10-torch-2.0.0-dev/include/ATen/Functions.h:234,
from /nix/store/8mmnns702jx77x8gx9rmi8fa3g2r6bqj-python3.10-torch-2.0.0-dev/include/ATen/ExpandUtils.h:4,
from /nix/store/8mmnns702jx77x8gx9rmi8fa3g2r6bqj-python3.10-torch-2.0.0-dev/include/torch/csrc/autograd/input_metadata.h:3,
from /nix/store/8mmnns702jx77x8gx9rmi8fa3g2r6bqj-python3.10-torch-2.0.0-dev/include/torch/csrc/autograd/function.h:7,
from /nix/store/8mmnns702jx77x8gx9rmi8fa3g2r6bqj-python3.10-torch-2.0.0-dev/include/torch/csrc/autograd/engine.h:11,
from torch_api.cpp:1:
/nix/store/8mmnns702jx77x8gx9rmi8fa3g2r6bqj-python3.10-torch-2.0.0-dev/include/ATen/ops/_lstm_mps.h:31:247: note: in passing argument 7 of 'std::tuple<at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor&> at::_lstm_mps_out(Tensor&, Tensor&, Tensor&, Tensor&, Tensor&, Tensor&, const Tensor&, TensorList, TensorList, bool, int64_t, double, bool, bool, bool)'
31 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _lstm_mps_out(at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, at::Tensor & out4, at::Tensor & out5, const at::Tensor & input, at::TensorList hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) {
| ~~~~~~~~~~~~~~~~~~~^~~~~
torch_api_generated.cpp.h: In function 'void atg__mps_max_pool2d(at::Tensor**, tensor, int64_t*, int, int64_t*, int, int64_t*, int, int64_t*, int, int)':
torch_api_generated.cpp.h:1542:29: error: '_mps_max_pool2d' is not a member of 'torch'
1542 | auto outputs__ = torch::_mps_max_pool2d(*self, torch::IntArrayRef(kernel_size_data, kernel_size_len), torch::IntArrayRef(stride_data, stride_len), torch::IntArrayRef(padding_data, padding_len), torch::IntArrayRef(dilation_data, dilation_len), (bool)ceil_mode);
| ^~~~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__mps_max_pool2d_out(at::Tensor**, tensor, tensor, int64_t*, int, int64_t*, int, int64_t*, int, int64_t*, int, int)':
torch_api_generated.cpp.h:1549:29: error: '_mps_max_pool2d_out' is not a member of 'torch'
1549 | auto outputs__ = torch::_mps_max_pool2d_out(*out, *self, torch::IntArrayRef(kernel_size_data, kernel_size_len), torch::IntArrayRef(stride_data, stride_len), torch::IntArrayRef(padding_data, padding_len), torch::IntArrayRef(dilation_data, dilation_len), (bool)ceil_mode);
| ^~~~~~~~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__scaled_dot_product_attention_math(at::Tensor**, tensor, tensor, tensor, tensor, double, int, int)':
torch_api_generated.cpp.h:1870:166: error: invalid initialization of reference of type 'const c10::optional<at::Tensor>&' from expression of type 'bool'
1870 | auto outputs__ = torch::_scaled_dot_product_attention_math(*query, *key, *value, (attn_mask ? *attn_mask : torch::Tensor()), dropout_p, (bool)need_attn_weights, (bool)is_causal);
| ^~~~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
In file included from /nix/store/8mmnns702jx77x8gx9rmi8fa3g2r6bqj-python3.10-torch-2.0.0-dev/include/ATen/Functions.h:289:
/nix/store/8mmnns702jx77x8gx9rmi8fa3g2r6bqj-python3.10-torch-2.0.0-dev/include/ATen/ops/_scaled_dot_product_attention_math.h:26:281: note: in passing argument 7 of 'std::tuple<at::Tensor, at::Tensor> at::_scaled_dot_product_attention_math(const Tensor&, const Tensor&, const Tensor&, const c10::optional<Tensor>&, double, bool, const c10::optional<Tensor>&)'
26 | inline ::std::tuple<at::Tensor,at::Tensor> _scaled_dot_product_attention_math(const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const c10::optional<at::Tensor> & attn_mask={}, double dropout_p=0.0, bool is_causal=false, const c10::optional<at::Tensor> & dropout_mask={}) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
torch_api_generated.cpp.h: In function 'void atg__sparse_mask_helper(at::Tensor**, tensor, tensor)':
torch_api_generated.cpp.h:2154:29: error: '_sparse_mask_helper' is not a member of 'torch'
2154 | auto outputs__ = torch::_sparse_mask_helper(*t, *mask_indices);
| ^~~~~~~~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__sparse_mask_helper_out(at::Tensor**, tensor, tensor, tensor)':
torch_api_generated.cpp.h:2161:29: error: '_sparse_mask_helper_out' is not a member of 'torch'
2161 | auto outputs__ = torch::_sparse_mask_helper_out(*out, *t, *mask_indices);
| ^~~~~~~~~~~~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__symeig_helper(at::Tensor**, tensor, int, int)':
torch_api_generated.cpp.h:2329:29: error: '_symeig_helper' is not a member of 'torch'
2329 | auto outputs__ = torch::_symeig_helper(*self, (bool)eigenvectors, (bool)upper);
| ^~~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__symeig_helper_out(at::Tensor**, tensor, tensor, tensor, int, int)':
torch_api_generated.cpp.h:2337:29: error: '_symeig_helper_out' is not a member of 'torch'
2337 | auto outputs__ = torch::_symeig_helper_out(*out0, *out1, *self, (bool)eigenvectors, (bool)upper);
| ^~~~~~~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__torch_cuda_cu_linker_symbol_op(at::Tensor**, tensor)':
torch_api_generated.cpp.h:2618:29: error: '_torch_cuda_cu_linker_symbol_op' is not a member of 'torch'
2618 | auto outputs__ = torch::_torch_cuda_cu_linker_symbol_op(*self);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__torch_cuda_cu_linker_symbol_op_out(at::Tensor**, tensor, tensor)':
torch_api_generated.cpp.h:2625:29: error: '_torch_cuda_cu_linker_symbol_op_out' is not a member of 'torch'
2625 | auto outputs__ = torch::_torch_cuda_cu_linker_symbol_op_out(*out, *self);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__upsample_bicubic2d_aa_backward_vec(at::Tensor**, tensor, int64_t*, int, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:2801:103: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
2801 | auto outputs__ = torch::_upsample_bicubic2d_aa_backward(*grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__upsample_bicubic2d_aa_backward_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:2808:113: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
2808 | auto outputs__ = torch::_upsample_bicubic2d_aa_backward_out(*out, *grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__upsample_bicubic2d_aa_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:2829:98: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
2829 | auto outputs__ = torch::_upsample_bicubic2d_aa_out(*out, *input, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__upsample_bilinear2d_aa_backward_vec(at::Tensor**, tensor, int64_t*, int, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:2857:104: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
2857 | auto outputs__ = torch::_upsample_bilinear2d_aa_backward(*grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__upsample_bilinear2d_aa_backward_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:2864:114: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
2864 | auto outputs__ = torch::_upsample_bilinear2d_aa_backward_out(*out, *grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__upsample_bilinear2d_aa_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:2885:99: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
2885 | auto outputs__ = torch::_upsample_bilinear2d_aa_out(*out, *input, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__upsample_nearest_exact1d_backward_vec(at::Tensor**, tensor, int64_t*, int, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:2913:106: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
2913 | auto outputs__ = torch::_upsample_nearest_exact1d_backward(*grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__upsample_nearest_exact1d_backward_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:2920:116: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
2920 | auto outputs__ = torch::_upsample_nearest_exact1d_backward_out(*out, *grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__upsample_nearest_exact1d_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:2941:101: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
2941 | auto outputs__ = torch::_upsample_nearest_exact1d_out(*out, *input, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__upsample_nearest_exact2d_backward_vec(at::Tensor**, tensor, int64_t*, int, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:2969:106: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
2969 | auto outputs__ = torch::_upsample_nearest_exact2d_backward(*grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__upsample_nearest_exact2d_backward_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:2976:116: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
2976 | auto outputs__ = torch::_upsample_nearest_exact2d_backward_out(*out, *grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__upsample_nearest_exact2d_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:2997:101: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
2997 | auto outputs__ = torch::_upsample_nearest_exact2d_out(*out, *input, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__upsample_nearest_exact3d_backward_vec(at::Tensor**, tensor, int64_t*, int, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:3025:106: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
3025 | auto outputs__ = torch::_upsample_nearest_exact3d_backward(*grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__upsample_nearest_exact3d_backward_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:3032:116: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
3032 | auto outputs__ = torch::_upsample_nearest_exact3d_backward_out(*out, *grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg__upsample_nearest_exact3d_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:3053:101: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
3053 | auto outputs__ = torch::_upsample_nearest_exact3d_out(*out, *input, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_diag_backward(at::Tensor**, tensor, int64_t*, int, int64_t)':
torch_api_generated.cpp.h:6131:29: error: 'diag_backward' is not a member of 'torch'
6131 | auto outputs__ = torch::diag_backward(*grad, torch::IntArrayRef(input_sizes_data, input_sizes_len), diagonal);
| ^~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_frobenius_norm(at::Tensor**, tensor)':
torch_api_generated.cpp.h:7739:43: error: too few arguments to function 'at::Tensor at::frobenius_norm(const Tensor&, IntArrayRef, bool)'
7739 | auto outputs__ = torch::frobenius_norm(*self);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
In file included from /nix/store/8mmnns702jx77x8gx9rmi8fa3g2r6bqj-python3.10-torch-2.0.0-dev/include/ATen/Functions.h:669:
/nix/store/8mmnns702jx77x8gx9rmi8fa3g2r6bqj-python3.10-torch-2.0.0-dev/include/ATen/ops/frobenius_norm.h:26:19: note: declared here
26 | inline at::Tensor frobenius_norm(const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) {
| ^~~~~~~~~~~~~~
torch_api_generated.cpp.h: In function 'void atg_lstm_mps_backward(tensor, at::Tensor**, int, at::Tensor**, int, tensor, tensor, tensor, tensor, tensor, tensor, at::Tensor**, int, at::Tensor**, int, int, int64_t, double, int, int, int)':
torch_api_generated.cpp.h:10488:259: error: invalid initialization of reference of type 'const at::Tensor&' from expression of type 'std::vector<at::Tensor>'
10488 | torch::lstm_mps_backward_out(*out0, of_carray_tensor(out1_data, out1_len), of_carray_tensor(out2_data, out2_len), *grad_y, (grad_hy ? *grad_hy : torch::Tensor()), (grad_cy ? *grad_cy : torch::Tensor()), *z_state, *cell_state_fwd, *input, of_carray_tensor(hx_data, hx_len), of_carray_tensor(params_data, params_len), (bool)has_biases, num_layers, dropout, (bool)train, (bool)bidirectional, (bool)batch_first);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
In file included from /nix/store/8mmnns702jx77x8gx9rmi8fa3g2r6bqj-python3.10-torch-2.0.0-dev/include/ATen/Functions.h:850:
/nix/store/8mmnns702jx77x8gx9rmi8fa3g2r6bqj-python3.10-torch-2.0.0-dev/include/ATen/ops/lstm_mps_backward.h:31:317: note: in passing argument 10 of 'void at::lstm_mps_backward_out(Tensor&, TensorList, TensorList, const Tensor&, const c10::optional<Tensor>&, const c10::optional<Tensor>&, const Tensor&, const Tensor&, const Tensor&, const Tensor&, TensorList, TensorList, bool, int64_t, double, bool, bool, bool)'
31 | inline void lstm_mps_backward_out(at::Tensor & out0, at::TensorList out1, at::TensorList out2, const at::Tensor & grad_y, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, const at::Tensor & z_state, const at::Tensor & cell_state_fwd, const at::Tensor & input, const at::Tensor & layersOutputs, at::TensorList hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) {
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
torch_api_generated.cpp.h: In function 'void atg_mps_max_pool2d_backward(at::Tensor**, tensor, tensor, int64_t*, int, int64_t*, int, int64_t*, int, int64_t*, int, int)':
torch_api_generated.cpp.h:11379:29: error: 'mps_max_pool2d_backward' is not a member of 'torch'
11379 | auto outputs__ = torch::mps_max_pool2d_backward(*grad_output, *self, torch::IntArrayRef(kernel_size_data, kernel_size_len), torch::IntArrayRef(stride_data, stride_len), torch::IntArrayRef(padding_data, padding_len), torch::IntArrayRef(dilation_data, dilation_len), (bool)ceil_mode);
| ^~~~~~~~~~~~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_mps_max_pool2d_backward_out(at::Tensor**, tensor, tensor, tensor, int64_t*, int, int64_t*, int, int64_t*, int, int64_t*, int, int)':
torch_api_generated.cpp.h:11386:29: error: 'mps_max_pool2d_backward_out' is not a member of 'torch'
11386 | auto outputs__ = torch::mps_max_pool2d_backward_out(*out, *grad_output, *self, torch::IntArrayRef(kernel_size_data, kernel_size_len), torch::IntArrayRef(stride_data, stride_len), torch::IntArrayRef(padding_data, padding_len), torch::IntArrayRef(dilation_data, dilation_len), (bool)ceil_mode);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_prelu_backward(at::Tensor**, tensor, tensor, tensor)':
torch_api_generated.cpp.h:12583:29: error: 'prelu_backward' is not a member of 'torch'
12583 | auto outputs__ = torch::prelu_backward(*grad_output, *self, *weight);
| ^~~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_prelu_backward_out(at::Tensor**, tensor, tensor, tensor, tensor, tensor)':
torch_api_generated.cpp.h:12591:29: error: 'prelu_backward_out' is not a member of 'torch'
12591 | auto outputs__ = torch::prelu_backward_out(*out0, *out1, *grad_output, *self, *weight);
| ^~~~~~~~~~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_prelu_out(at::Tensor**, tensor, tensor, tensor)':
torch_api_generated.cpp.h:12599:29: error: 'prelu_out' is not a member of 'torch'
12599 | auto outputs__ = torch::prelu_out(*out, *self, *weight);
| ^~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_symeig(at::Tensor**, tensor, int, int)':
torch_api_generated.cpp.h:16378:29: error: 'symeig' is not a member of 'torch'
16378 | auto outputs__ = torch::symeig(*self, (bool)eigenvectors, (bool)upper);
| ^~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_symeig_e(at::Tensor**, tensor, tensor, tensor, int, int)':
torch_api_generated.cpp.h:16386:29: error: 'symeig_out' is not a member of 'torch'
16386 | auto outputs__ = torch::symeig_out(*e, *V, *self, (bool)eigenvectors, (bool)upper);
| ^~~~~~~~~~
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_bicubic2d_backward_vec(at::Tensor**, tensor, int64_t*, int, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:17278:99: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17278 | auto outputs__ = torch::upsample_bicubic2d_backward(*grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_bicubic2d_backward_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:17285:109: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17285 | auto outputs__ = torch::upsample_bicubic2d_backward_out(*out, *grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_bicubic2d_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:17306:94: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17306 | auto outputs__ = torch::upsample_bicubic2d_out(*out, *input, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_bilinear2d_backward_vec(at::Tensor**, tensor, int64_t*, int, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:17334:100: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17334 | auto outputs__ = torch::upsample_bilinear2d_backward(*grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_bilinear2d_backward_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:17341:110: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17341 | auto outputs__ = torch::upsample_bilinear2d_backward_out(*out, *grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_bilinear2d_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:17362:95: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17362 | auto outputs__ = torch::upsample_bilinear2d_out(*out, *input, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_linear1d_backward_vec(at::Tensor**, tensor, int64_t*, int, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:17390:98: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17390 | auto outputs__ = torch::upsample_linear1d_backward(*grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_linear1d_backward_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:17397:108: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17397 | auto outputs__ = torch::upsample_linear1d_backward_out(*out, *grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_linear1d_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:17418:93: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17418 | auto outputs__ = torch::upsample_linear1d_out(*out, *input, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_nearest1d_backward_vec(at::Tensor**, tensor, int64_t*, int, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:17446:99: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17446 | auto outputs__ = torch::upsample_nearest1d_backward(*grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_nearest1d_backward_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:17453:109: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17453 | auto outputs__ = torch::upsample_nearest1d_backward_out(*out, *grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_nearest1d_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:17474:94: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17474 | auto outputs__ = torch::upsample_nearest1d_out(*out, *input, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_nearest2d_backward_vec(at::Tensor**, tensor, int64_t*, int, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:17502:99: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17502 | auto outputs__ = torch::upsample_nearest2d_backward(*grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_nearest2d_backward_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:17509:109: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17509 | auto outputs__ = torch::upsample_nearest2d_backward_out(*out, *grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_nearest2d_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:17530:94: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17530 | auto outputs__ = torch::upsample_nearest2d_out(*out, *input, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_nearest3d_backward_vec(at::Tensor**, tensor, int64_t*, int, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:17558:99: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17558 | auto outputs__ = torch::upsample_nearest3d_backward(*grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_nearest3d_backward_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:17565:109: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17565 | auto outputs__ = torch::upsample_nearest3d_backward_out(*out, *grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_nearest3d_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, double*, int)':
torch_api_generated.cpp.h:17586:94: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17586 | auto outputs__ = torch::upsample_nearest3d_out(*out, *input, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_trilinear3d_backward_vec(at::Tensor**, tensor, int64_t*, int, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:17614:101: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17614 | auto outputs__ = torch::upsample_trilinear3d_backward(*grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_trilinear3d_backward_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:17621:111: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17621 | auto outputs__ = torch::upsample_trilinear3d_backward_out(*out, *grad_output, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), torch::IntArrayRef(input_size_data, input_size_len), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
torch_api_generated.cpp.h: In function 'void atg_upsample_trilinear3d_vec_out(at::Tensor**, tensor, tensor, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:17642:96: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
17642 | auto outputs__ = torch::upsample_trilinear3d_out(*out, *input, output_size_data == nullptr ? c10::nullopt : c10::optional<torch::IntArrayRef>(torch::IntArrayRef(output_size_data, output_size_len)), (bool)align_corners, at::ArrayRef<double>(scale_factors_data, scale_factors_len));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| c10::optional<c10::ArrayRef<long int> >
torch_api.h:14:5: note: in definition of macro 'PROTECT'
14 | x \
| ^
Done: 61% (397/644, 247 left) (jobs: 3) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% (397/644, 247 left, 1 failed) (jobs: 2) Done: 61% 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@samuela
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samuela commented Mar 23, 2023

appears to have timed out

@SomeoneSerge
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No, it actually fails:

torch_api_generated.cpp.h: In function 'void atg_upsample_trilinear3d_backward_vec(at::Tensor**, tensor, int64_t*, int, int64_t*, int, int, double*, int)':
torch_api_generated.cpp.h:17614:101: error: could not convert '((output_size_data == 0) ? c10::optional<c10::ArrayRef<long int> >((c10::nullopt, const c10::nullopt_t())) : c10::optional<c10::ArrayRef<long int> >(c10::ArrayRef<long int>(((const long int*)output_size_data), ((size_t)output_size_len))))' from 'c10::optional<c10::ArrayRef<long int> >' to 'at::IntArrayRef' {aka 'c10::ArrayRef<long int>'}
1

etc

I think, again, the interfaces have changed. There's no new version of ocaml torch, so maybe we just mark it as broken?

@samuela
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samuela commented Mar 23, 2023

oh oops, I missed that! yeah I think marking it as broken makes sense

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