常連

Ninjaを使ったビルドでエラーが発生しています。
```ここに言語を入力
FAILED: fused.pyd
"C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30037\bin\Hostx64\x64/link.exe" fused_bias_act.o fused_bias_act_kernel.cuda.o /nologo /DLL c10.lib c10_cuda.lib torch_cpu.lib torch_cuda_cu.lib -INCLUDE:?searchsorted_cuda@native@at@@YA?AVTensor@2@AEBV32@0_N1@Z torch_cuda_cpp.lib -INCLUDE:?warp_size@cuda@at@@YAHXZ torch.lib /LIBPATH:C:\Users\Owner\anaconda3\envs\Python-v38\lib\site-packages\torch\lib torch_python.lib /LIBPATH:C:\Users\Owner\anaconda3\envs\Python-v38\libs "/LIBPATH:C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\lib/x64" cudart.lib "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\lib/x64" /out:fused.pyd
LINK : fatal error LNK1181: cannot open input file 'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\lib\x64.obj'
ninja: build stopped: subcommand failed.
```

エラー内容としてはx64.objが存在しないとゆう事なのですが
エラー文章に記載のパスのx64はそもそもファイルではなくフォルダとして存在しています。
なのでおそらくbuild.ninjaに不適切なパスの指定がされているのかと思い３日程調べているのですが、原因がわかりません
対象のbuild.ninja
```ここに言語を入力
ninja_required_version = 1.3
cxx = cl
nvcc = C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\nvcc

cflags = -DTORCH_EXTENSION_NAME=fused -DTORCH_API_INCLUDE_EXTENSION_H -IC:\Users\Owner\anaconda3\envs\Python-v38\lib\site-packages\torch\include -IC:\Users\Owner\anaconda3\envs\Python-v38\lib\site-packages\torch\include\torch\csrc\api\include -IC:\Users\Owner\anaconda3\envs\Python-v38\lib\site-packages\torch\include\TH -IC:\Users\Owner\anaconda3\envs\Python-v38\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" -IC:\Users\Owner\anaconda3\envs\Python-v38\Include -D_GLIBCXX_USE_CXX11_ABI=0 /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /EHsc
post_cflags = 
cuda_cflags = -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=fused -DTORCH_API_INCLUDE_EXTENSION_H -IC:\Users\Owner\anaconda3\envs\Python-v38\lib\site-packages\torch\include -IC:\Users\Owner\anaconda3\envs\Python-v38\lib\site-packages\torch\include\torch\csrc\api\include -IC:\Users\Owner\anaconda3\envs\Python-v38\lib\site-packages\torch\include\TH -IC:\Users\Owner\anaconda3\envs\Python-v38\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" -IC:\Users\Owner\anaconda3\envs\Python-v38\Include -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_75,code=compute_75 -gencode=arch=compute_75,code=sm_75
cuda_post_cflags = 
ldflags = /DLL c10.lib c10_cuda.lib torch_cpu.lib torch_cuda_cu.lib -INCLUDE:?searchsorted_cuda@native@at@@YA?AVTensor@2@AEBV32@0_N1@Z torch_cuda_cpp.lib -INCLUDE:?warp_size@cuda@at@@YAHXZ torch.lib /LIBPATH:C:\Users\Owner\anaconda3\envs\Python-v38\lib\site-packages\torch\lib torch_python.lib /LIBPATH:C:\Users\Owner\anaconda3\envs\Python-v38\libs "/LIBPATH:C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\lib/x64" cudart.lib "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\lib/x64"

rule compile
  command = cl /showIncludes $cflags -c $in /Fo$out $post_cflags
  deps = msvc

rule cuda_compile
  depfile = $out.d
  deps = gcc
  command = $nvcc --generate-dependencies-with-compile --dependency-output $out.d $cuda_cflags -c $in -o $out $cuda_post_cflags

rule link
  command = "C$:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30037\bin\Hostx64\x64/link.exe" $in /nologo $ldflags /out:$out

build fused_bias_act.o: compile D$:\TensorSpace\AnimeGenerator\StyleGan3\alias-free-gan-pytorch-main\stylegan2\op\fused_bias_act.cpp
build fused_bias_act_kernel.cuda.o: cuda_compile D$:\TensorSpace\AnimeGenerator\StyleGan3\alias-free-gan-pytorch-main\stylegan2\op\fused_bias_act_kernel.cu

build fused.pyd: link fused_bias_act.o fused_bias_act_kernel.cuda.o

default fused.pyd
```
　
　
　原因となるコードはどれでしょうか？


　そもそも、なぜこんなエラーが出るのか不思議だったので
　一度他のcppファイルをビルドしてみたところ正常にビルドは成功しました。
　試したコード：https://pytorch.org/tutorials/advanced/cpp_extension.html　
　

　読み込み方が違うため、torch関連のエラーの可能性もあるので
　今回エラーをだしたcpp関連ファイルと読み込みコードを記載させていただきます

　読み込み時
　```ここに言語を入力
import os
from torch.utils.cpp_extension import load


module_path = os.path.dirname(__file__)

fused = load(
    "fused",
    sources=[
        os.path.join(module_path, "fused_bias_act.cpp"),
        os.path.join(module_path, "fused_bias_act_kernel.cu"),
    ],
)

```
fused_bias_act.cpp
```
#include <ATen/ATen.h>
#include <torch/extension.h>

torch::Tensor fused_bias_act_op(const torch::Tensor &input,
                                const torch::Tensor &bias,
                                const torch::Tensor &refer, int act, int grad,
                                float alpha, float scale);

#define CHECK_CUDA(x)                                                          \
  TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
#define CHECK_CONTIGUOUS(x)                                                    \
  TORCH_CHECK(x.is_contiguous(), #x " must be contiguous")
#define CHECK_INPUT(x)                                                         \
  CHECK_CUDA(x);                                                               \
  CHECK_CONTIGUOUS(x)

torch::Tensor fused_bias_act(const torch::Tensor &input,
                             const torch::Tensor &bias,
                             const torch::Tensor &refer, int act, int grad,
                             float alpha, float scale) {
  CHECK_INPUT(input);
  CHECK_INPUT(bias);

  at::DeviceGuard guard(input.device());

  return fused_bias_act_op(input, bias, refer, act, grad, alpha, scale);
}

PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
  m.def("fused_bias_act", &fused_bias_act, "fused bias act (CUDA)");
}
```
　
　
　
fused_bias_act_kernel.cu
```ここに言語を入力
// Copyright (c) 2019, NVIDIA Corporation. All rights reserved.
//
// This work is made available under the Nvidia Source Code License-NC.
// To view a copy of this license, visit
// https://nvlabs.github.io/stylegan2/license.html

#include <torch/types.h>

#include <ATen/ATen.h>
#include <ATen/AccumulateType.h>
#include <ATen/cuda/CUDAApplyUtils.cuh>
#include <ATen/cuda/CUDAContext.h>


#include <cuda.h>
#include <cuda_runtime.h>

template <typename scalar_t>
static __global__ void
fused_bias_act_kernel(scalar_t *out, const scalar_t *p_x, const scalar_t *p_b,
                      const scalar_t *p_ref, int act, int grad, scalar_t alpha,
                      scalar_t scale, int loop_x, int size_x, int step_b,
                      int size_b, int use_bias, int use_ref) {
  int xi = blockIdx.x * loop_x * blockDim.x + threadIdx.x;

  scalar_t zero = 0.0;

  for (int loop_idx = 0; loop_idx < loop_x && xi < size_x;
       loop_idx++, xi += blockDim.x) {
    scalar_t x = p_x[xi];

    if (use_bias) {
      x += p_b[(xi / step_b) % size_b];
    }

    scalar_t ref = use_ref ? p_ref[xi] : zero;

    scalar_t y;

    switch (act * 10 + grad) {
    default:
    case 10:
      y = x;
      break;
    case 11:
      y = x;
      break;
    case 12:
      y = 0.0;
      break;

    case 30:
      y = (x > 0.0) ? x : x * alpha;
      break;
    case 31:
      y = (ref > 0.0) ? x : x * alpha;
      break;
    case 32:
      y = 0.0;
      break;
    }

    out[xi] = y * scale;
  }
}

torch::Tensor fused_bias_act_op(const torch::Tensor &input,
                                const torch::Tensor &bias,
                                const torch::Tensor &refer, int act, int grad,
                                float alpha, float scale) {
  int curDevice = -1;
  cudaGetDevice(&curDevice);
  cudaStream_t stream = at::cuda::getCurrentCUDAStream();

  auto x = input.contiguous();
  auto b = bias.contiguous();
  auto ref = refer.contiguous();

  int use_bias = b.numel() ? 1 : 0;
  int use_ref = ref.numel() ? 1 : 0;

  int size_x = x.numel();
  int size_b = b.numel();
  int step_b = 1;

  for (int i = 1 + 1; i < x.dim(); i++) {
    step_b *= x.size(i);
  }

  int loop_x = 4;
  int block_size = 4 * 32;
  int grid_size = (size_x - 1) / (loop_x * block_size) + 1;

  auto y = torch::empty_like(x);

  AT_DISPATCH_FLOATING_TYPES_AND_HALF(
      x.scalar_type(), "fused_bias_act_kernel", [&] {
        fused_bias_act_kernel<scalar_t><<<grid_size, block_size, 0, stream>>>(
            y.data_ptr<scalar_t>(), x.data_ptr<scalar_t>(),
            b.data_ptr<scalar_t>(), ref.data_ptr<scalar_t>(), act, grad, alpha,
            scale, loop_x, size_x, step_b, size_b, use_bias, use_ref);
      });

  return y;
}
```


読み込み時のコードを単体で実行すると、指定されたモジュールがみつかりません
とゆうエラーが出現しました。
そこでcpp_extensionのキャッシュフォルダを確認した所、ninja.buildのファイルは正常に生成されていたため、該当のディレクトリに移動し直接以下コマンドを入力した結果質問分最初のエラーLINK : fatal error LNK1181が発生致しました。
```
ninja
```


読んでいただいてありがとうございます。

Ninjaビルドエラー

# 質問内容
以下のサイトを参考に、『Cartographer』ROSを実装しようとしているのですが、ビルドをする際にエラー場表示されます。

[Cartographerの参考サイト](https://google-cartographer-ros.readthedocs.io/en/latest/compilation.html)

# ビルド
```ここに言語を入力
catkin_make_isolated --install --use-ninja
```

# エラー内容
```ここに言語を入力
==> Processing catkin package: 'cartographer_ros'
==> Building with env: '/home/user/catkin_ws/install_isolated/env.sh'
==> cmake /home/user/catkin_ws/src/cartographer_ros/cartographer_ros -DCATKIN_DEVEL_PREFIX=/home/user/catkin_ws/devel_isolated/cartographer_ros -DCMAKE_INSTALL_PREFIX=/home/user/catkin_ws/install_isolated -G Ninja in '/home/user/catkin_ws/build_isolated/cartographer_ros'
-- Found Boost: /usr/lib/aarch64-linux-gnu/cmake/Boost-1.71.0/BoostConfig.cmake (found version "1.71.0") found components: system iostreams 
-- Eigen found (include: /usr/include/eigen3, version: 3.3.7)
-- Found Boost: /usr/include (found suitable version "1.71.0", minimum required is "1.55.0") found components: system filesystem date_time iostreams regex 
-- looking for PCL_COMMON
-- Found installed version of Eigen: /usr/lib/cmake/eigen3
-- Found required Ceres dependency: Eigen version 3.3.7 in /usr/include/eigen3
-- Found required Ceres dependency: glog
-- Found installed version of gflags: /usr/lib/aarch64-linux-gnu/cmake/gflags
-- Detected gflags version: 2.2.2
-- Found required Ceres dependency: gflags
-- Found Ceres version: 1.14.0 installed in: /usr with components: [EigenSparse, SparseLinearAlgebraLibrary, LAPACK, SuiteSparse, CXSparse, SchurSpecializations, OpenMP, Multithreading]
-- Build type: Release
-- Found GMock: gmock_main;-lpthread;GMOCK_LIBRARY-NOTFOUND;/usr/lib/aarch64-linux-gnu/libgtest.a;-lpthread  
-- Using CATKIN_DEVEL_PREFIX: /home/user/catkin_ws/devel_isolated/cartographer_ros
-- Using CMAKE_PREFIX_PATH: /home/user/catkin_ws/install_isolated;/home/user/catkin_ws/devel;/home/user/catkin_ws/devel;/opt/ros/noetic
-- This workspace overlays: /home/user/catkin_ws/install_isolated;/home/user/catkin_ws/devel;/home/user/catkin_ws/devel;/opt/ros/noetic
-- Using PYTHON_EXECUTABLE: /usr/bin/python3.8
-- Using Debian Python package layout
-- Using empy: /usr/lib/python3/dist-packages/em.py
-- Using CATKIN_ENABLE_TESTING: ON
-- Call enable_testing()
-- Using CATKIN_TEST_RESULTS_DIR: /home/user/catkin_ws/build_isolated/cartographer_ros/test_results
-- Forcing gtest/gmock from source, though one was otherwise available.
-- Found gtest sources under '/usr/src/googletest': gtests will be built
-- Found gmock sources under '/usr/src/googletest': gmock will be built
-- Found PythonInterp: /usr/bin/python3.8 (found version "3.8.5") 
-- Using Python nosetests: /usr/bin/nosetests3
-- catkin 0.8.9
-- BUILD_SHARED_LIBS is on
-- Using these message generators: gencpp;geneus;genlisp;gennodejs;genpy
CMake Error: The following variables are used in this project, but they are set to NOTFOUND.
Please set them or make sure they are set and tested correctly in the CMake files:
GMOCK_LIBRARY
    linked by target "time_conversion_test" in directory /home/user/catkin_ws/src/cartographer_ros/cartographer_ros
    linked by target "configuration_files_test" in directory /home/user/catkin_ws/src/cartographer_ros/cartographer_ros
    linked by target "msg_conversion_test" in directory /home/user/catkin_ws/src/cartographer_ros/cartographer_ros
    linked by target "metrics_test" in directory /home/user/catkin_ws/src/cartographer_ros/cartographer_ros

-- Configuring incomplete, errors occurred!
See also "/home/user/catkin_ws/build_isolated/cartographer_ros/CMakeFiles/CMakeOutput.log".
See also "/home/user/catkin_ws/build_isolated/cartographer_ros/CMakeFiles/CMakeError.log".
<== Failed to process package 'cartographer_ros': 
  Command '['/home/user/catkin_ws/install_isolated/env.sh', 'cmake', '/home/user/catkin_ws/src/cartographer_ros/cartographer_ros', '-DCATKIN_DEVEL_PREFIX=/home/user/catkin_ws/devel_isolated/cartographer_ros', '-DCMAKE_INSTALL_PREFIX=/home/user/catkin_ws/install_isolated', '-G', 'Ninja']' returned non-zero exit status 1.

Reproduce this error by running:
==> cd /home/user/catkin_ws/build_isolated/cartographer_ros && /home/user/catkin_ws/install_isolated/env.sh cmake /home/user/catkin_ws/src/cartographer_ros/cartographer_ros -DCATKIN_DEVEL_PREFIX=/home/user/catkin_ws/devel_isolated/cartographer_ros -DCMAKE_INSTALL_PREFIX=/home/user/catkin_ws/install_isolated -G Ninja

```
ちなみに、catkin_ws内に、新たにファイルを追加した際にも同様のエラーが表示されます。
（『CMakeLists.txt』が存在するファイルを新たに追加した際に、エラーが出ます。）


解決策を知っている方がいましたら、教えていただけると幸いです。

catkin_make_isolated --install --use-ninja　のエラーに関する質問

http://source.android.com/source/initializing.html

こちらのandroid公式サイトを参考にAOSPのコードをビルドしようとしているのですが、うまく行きません。

環境は、
AmazonEC2
インスタンス:c4.2xlarge
OS:Ubuntu16.04LTS
SSD:100GIB 
です。

以下行った行動です。

・Installing Repo
こちらの項目を参考に、それぞれコマンドを入力し、repoコマンドのセットアップをしました。
```bash
$ mkdir ~/bin
$ PATH=~/bin:$PATH
$ curl https://storage.googleapis.com/git-repo-downloads/repo > ~/bin/repo
$ chmod a+x ~/bin/repo
```

・Initializing a Repo client
次に作業ディレクトりを作成し、gitの初期設定を行いました。
```bash
$ mkdir src
$ cd src
$ mkdir master
$ cd master
$ git config --global user.name "babyloos"
$ git config --global user.email "babyloos@babyloos.net"
```

repo init を実行し、ソース取得元を設定しました。
```bash
$ repo init -u https://android.googlesource.com/platform/manifest
```

repo sync を実行し、ソースコードを同期(ダウンロード？)しました。
```bash
$ repo sync
```

https://source.android.com/source/building.html
次に、こちらのページへ移りソースコードのビルドを行いました。

以下実際に行った行動です。

何を行っているのか不明ですが、find: ‘vendor’: No such file or directoryというメッセージが表示されているので、問題が発生しているような気がします。
```bash
$ make clobber
find: ‘vendor’: No such file or directory
============================================
PLATFORM_VERSION_CODENAME=REL
PLATFORM_VERSION=7.0
TARGET_PRODUCT=aosp_arm
TARGET_BUILD_VARIANT=eng
TARGET_BUILD_TYPE=release
TARGET_BUILD_APPS=
TARGET_ARCH=arm
TARGET_ARCH_VARIANT=armv7-a
TARGET_CPU_VARIANT=generic
TARGET_2ND_ARCH=
TARGET_2ND_ARCH_VARIANT=
TARGET_2ND_CPU_VARIANT=
HOST_ARCH=x86_64
HOST_2ND_ARCH=x86
HOST_OS=linux
HOST_OS_EXTRA=Linux-4.4.0-47-generic-x86_64-with-Ubuntu-16.04-xenial
HOST_CROSS_OS=windows
HOST_CROSS_ARCH=x86
HOST_CROSS_2ND_ARCH=x86_64
HOST_BUILD_TYPE=release
BUILD_ID=NYC
OUT_DIR=out
AUX_OS_VARIANT_LIST=
============================================
ninja: no work to do.
[1/1] out/soong/.bootstrap/bin/soong_build out/soong/build.ninja
Running kati to generate build-aosp_arm-clobber.ninja...
out/build-aosp_arm-clobber.ninja is missing, regenerating...
find: ‘vendor’: No such file or directory
============================================
PLATFORM_VERSION_CODENAME=REL
PLATFORM_VERSION=7.0
TARGET_PRODUCT=aosp_arm
TARGET_BUILD_VARIANT=eng
TARGET_BUILD_TYPE=release
TARGET_BUILD_APPS=
TARGET_ARCH=arm
TARGET_ARCH_VARIANT=armv7-a
TARGET_CPU_VARIANT=generic
TARGET_2ND_ARCH=
TARGET_2ND_ARCH_VARIANT=
TARGET_2ND_CPU_VARIANT=
HOST_ARCH=x86_64
HOST_2ND_ARCH=x86
HOST_OS=linux
HOST_OS_EXTRA=Linux-4.4.0-47-generic-x86_64-with-Ubuntu-16.04-xenial
HOST_CROSS_OS=windows
HOST_CROSS_ARCH=x86
HOST_CROSS_2ND_ARCH=x86_64
HOST_BUILD_TYPE=release
BUILD_ID=NYC
OUT_DIR=out
AUX_OS_VARIANT_LIST=
============================================
Starting build with ninja
ninja: Entering directory `.'
[100% 1/1] Entire build directory removed.
```

ビルドの準備？
```bash
$ source build/envsetup.sh
including device/asus/fugu/vendorsetup.sh
including device/generic/mini-emulator-arm64/vendorsetup.sh
including device/generic/mini-emulator-armv7-a-neon/vendorsetup.sh
including device/generic/mini-emulator-mips64/vendorsetup.sh
including device/generic/mini-emulator-mips/vendorsetup.sh
including device/generic/mini-emulator-x86_64/vendorsetup.sh
including device/generic/mini-emulator-x86/vendorsetup.sh
including device/google/dragon/vendorsetup.sh
including device/htc/flounder/vendorsetup.sh
including device/huawei/angler/vendorsetup.sh
including device/lge/bullhead/vendorsetup.sh
including device/linaro/hikey/vendorsetup.sh
including device/moto/shamu/vendorsetup.sh
including sdk/bash_completion/adb.bash
```

ビルドの準備？
```bash
$ lunch aosp_arm-eng
lunch aosp_arm-eng
echo -n $selection | sed -e "s/^[^\-]*-//"
echo -n $selection | sed -e "s/-.*$//"
gettop
cat $T/build/envsetup.sh | tr '()' '  ' | awk '{for(i=1;i<=NF;i++) if($i~/get_build_var/) print $(i+1)}' | sort -u | tr '\n' ' '
cat $T/build/envsetup.sh | tr '()' '  ' | awk '{for(i=1;i<=NF;i++) if($i~/get_abs_build_var/) print $(i+1)}' | sort -u | tr '\n' ' '
\cd $T; CALLED_FROM_SETUP=true BUILD_SYSTEM=build/core                         command make --no-print-directory -f build/core/config.mk                         dump-many-vars                         DUMP_MANY_VARS="$cached_vars"                         DUMP_MANY_ABS_VARS="$cached_abs_vars"                         DUMP_VAR_PREFIX="var_cache_"                         DUMP_ABS_VAR_PREFIX="abs_var_cache_"
find: ‘vendor’: No such file or directory
var_cache_2ND_TARGET_GCC_VERSION=''
var_cache_ANDROID_BUILD_PATHS='/home/ubuntu/src/master/out/soong/host/linux-x86/bin:/home/ubuntu/src/master/out/host/linux-x86/bin'
var_cache_BUILD_OS='linux'
var_cache_LLVM_PREBUILTS_VERSION='clang-3289846'
var_cache_print=''
var_cache_TARGET_ARCH='arm'
var_cache_TARGET_DEVICE='generic'
var_cache_TARGET_GCC_VERSION='4.9'
var_cache_report_config=`echo '============================================'; echo 'PLATFORM_VERSION_CODENAME=REL'; echo 'PLATFORM_VERSION=7.0'; echo 'TARGET_PRODUCT=aosp_arm'; echo 'TARGET_BUILD_VARIANT=eng'; echo 'TARGET_BUILD_TYPE=release'; echo 'TARGET_BUILD_APPS='; echo 'TARGET_ARCH=arm'; echo 'TARGET_ARCH_VARIANT=armv7-a'; echo 'TARGET_CPU_VARIANT=generic'; echo 'TARGET_2ND_ARCH='; echo 'TARGET_2ND_ARCH_VARIANT='; echo 'TARGET_2ND_CPU_VARIANT='; echo 'HOST_ARCH=x86_64'; echo 'HOST_2ND_ARCH=x86'; echo 'HOST_OS=linux'; echo 'HOST_OS_EXTRA=Linux-4.4.0-47-generic-x86_64-with-Ubuntu-16.04-xenial'; echo 'HOST_CROSS_OS=windows'; echo 'HOST_CROSS_ARCH=x86'; echo 'HOST_CROSS_2ND_ARCH=x86_64'; echo 'HOST_BUILD_TYPE=release'; echo 'BUILD_ID=NYC'; echo 'OUT_DIR=out'; echo 'AUX_OS_VARIANT_LIST='; echo '============================================';`
echo '============================================'; echo 'PLATFORM_VERSION_CODENAME=REL'; echo 'PLATFORM_VERSION=7.0'; echo 'TARGET_PRODUCT=aosp_arm'; echo 'TARGET_BUILD_VARIANT=eng'; echo 'TARGET_BUILD_TYPE=release'; echo 'TARGET_BUILD_APPS='; echo 'TARGET_ARCH=arm'; echo 'TARGET_ARCH_VARIANT=armv7-a'; echo 'TARGET_CPU_VARIANT=generic'; echo 'TARGET_2ND_ARCH='; echo 'TARGET_2ND_ARCH_VARIANT='; echo 'TARGET_2ND_CPU_VARIANT='; echo 'HOST_ARCH=x86_64'; echo 'HOST_2ND_ARCH=x86'; echo 'HOST_OS=linux'; echo 'HOST_OS_EXTRA=Linux-4.4.0-47-generic-x86_64-with-Ubuntu-16.04-xenial'; echo 'HOST_CROSS_OS=windows'; echo 'HOST_CROSS_ARCH=x86'; echo 'HOST_CROSS_2ND_ARCH=x86_64'; echo 'HOST_BUILD_TYPE=release'; echo 'BUILD_ID=NYC'; echo 'OUT_DIR=out'; echo 'AUX_OS_VARIANT_LIST='; echo '============================================';
abs_var_cache_ANDROID_GCC_PREBUILTS='/home/ubuntu/src/master/prebuilts/gcc/linux-x86'
abs_var_cache_ANDROID_PREBUILTS='/home/ubuntu/src/master/prebuilt/linux-x86'
abs_var_cache_HOST_OUT='/home/ubuntu/src/master/out/host/linux-x86'
abs_var_cache_PRODUCT_OUT='/home/ubuntu/src/master/out/target/product/generic'
abs_var_cache_print=''

gettargetarch
echo "${var_cache_TARGET_ARCH}"
uname -s
gettop
getprebuilt
echo "${abs_var_cache_ANDROID_PREBUILTS}"
get_abs_build_var ANDROID_GCC_PREBUILTS
echo "${abs_var_cache_ANDROID_GCC_PREBUILTS}"
get_build_var TARGET_GCC_VERSION
echo "${var_cache_TARGET_GCC_VERSION}"
get_build_var 2ND_TARGET_GCC_VERSION
echo "${var_cache_2ND_TARGET_GCC_VERSION}"
get_build_var TARGET_ARCH
echo "${var_cache_TARGET_ARCH}"
get_build_var ANDROID_BUILD_PATHS
echo "${var_cache_ANDROID_BUILD_PATHS}"
uname -s
get_abs_build_var PRODUCT_OUT
echo "${abs_var_cache_PRODUCT_OUT}"
get_abs_build_var HOST_OUT
echo "${abs_var_cache_HOST_OUT}"
gettop
gettop
echo "${var_cache_report_config}"
============================================
PLATFORM_VERSION_CODENAME=REL
PLATFORM_VERSION=7.0
TARGET_PRODUCT=aosp_arm
TARGET_BUILD_VARIANT=eng
TARGET_BUILD_TYPE=release
TARGET_BUILD_APPS=
TARGET_ARCH=arm
TARGET_ARCH_VARIANT=armv7-a
TARGET_CPU_VARIANT=generic
TARGET_2ND_ARCH=
TARGET_2ND_ARCH_VARIANT=
TARGET_2ND_CPU_VARIANT=
HOST_ARCH=x86_64
HOST_2ND_ARCH=x86
HOST_OS=linux
HOST_OS_EXTRA=Linux-4.4.0-47-generic-x86_64-with-Ubuntu-16.04-xenial
HOST_CROSS_OS=windows
HOST_CROSS_ARCH=x86
HOST_CROSS_2ND_ARCH=x86_64
HOST_BUILD_TYPE=release
BUILD_ID=NYC
OUT_DIR=out
AUX_OS_VARIANT_LIST=
============================================
echo -ne "\033]0;[arm-aosp_arm-eng] ubuntu@ip-172-31-29-231: /home/ubuntu/src/master\007"
```

ここでも
find: ‘vendor’: No such file or directory
という、文が確認できるのでやはりソースのダウンロード時点でうまくいってないかもしれないと思っています。

とりあえず進めてみました。

```bash
$ make -j4
find: ‘vendor’: No such file or directory
============================================
PLATFORM_VERSION_CODENAME=REL
PLATFORM_VERSION=7.0
TARGET_PRODUCT=aosp_arm
TARGET_BUILD_VARIANT=eng
TARGET_BUILD_TYPE=release
TARGET_BUILD_APPS=
TARGET_ARCH=arm


~~~ 途中略 ~~~
[  6% 2406/35403] target thumb C++: libadbd <= system/core/adb/transport.cpp
[  6% 2407/35403] target thumb C++: libfs_mgr <= system/core/fs_mgr/fs_mgr_verity.cpp
ninja: build stopped: subcommand failed.
build/core/ninja.mk:84: recipe for target 'ninja_wrapper' failed
make: *** [ninja_wrapper] Error 1
find: ‘vendor’: No such file or directory
```

途中様々なエラーが出ていたようですが、最後はこのような形で終了してしまいました。

自分は、やはりソースコードのダウンロードがうまくいっていないのだと考えています。
とても抽象的な質問になってしまい申し訳無いのですが、原因のわかる方いらっしゃいましたらご回答をお願いしたいと思います。
よろしくお願い致します。

ubuntu16.04にてAOSPのソースコードをビルドしたい。

### 前提・実現したいこと

下記に記載したエラーが発生してしまうため、いろいろ試しましたがうまく解決できません。
お力をお貸しください。

### 発生している問題・エラーメッセージ

```

    raise RuntimeError(message)
RuntimeError: Error building extension 'fused': [1/3] /usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=fused -DTORCH_API_INCLUDE_EXTENSION_H -isystem /home/a/libraries/anaconda3/envs/gan/lib/python3.6/site-packages/torch/lib/include -isystem /home/a/libraries/anaconda3/envs/gan/lib/python3.6/site-packages/torch/lib/include/torch/csrc/api/include -isystem /home/a/libraries/anaconda3/envs/gan/lib/python3.6/site-packages/torch/lib/include/TH -isystem /home/a/libraries/anaconda3/envs/gan/lib/python3.6/site-packages/torch/lib/include/THC -isystem /usr/local/cuda/include -isystem /home/a/libraries/anaconda3/envs/gan/include/python3.6m -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --compiler-options '-fPIC' -std=c++11 -c /home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu -o fused_bias_act_kernel.cuda.o
FAILED: fused_bias_act_kernel.cuda.o 
/usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=fused -DTORCH_API_INCLUDE_EXTENSION_H -isystem /home/a/libraries/anaconda3/envs/gan/lib/python3.6/site-packages/torch/lib/include -isystem /home/a/libraries/anaconda3/envs/gan/lib/python3.6/site-packages/torch/lib/include/torch/csrc/api/include -isystem /home/a/libraries/anaconda3/envs/gan/lib/python3.6/site-packages/torch/lib/include/TH -isystem /home/a/libraries/anaconda3/envs/gan/lib/python3.6/site-packages/torch/lib/include/THC -isystem /usr/local/cuda/include -isystem /home/a/libraries/anaconda3/envs/gan/include/python3.6m -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --compiler-options '-fPIC' -std=c++11 -c /home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu -o fused_bias_act_kernel.cuda.o
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: no suitable constructor exists to convert from "c10::ScalarType" to "at::Type"

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: a pointer to a bound function may only be used to call the function

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: type name is not allowed

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: expected an expression

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: a pointer to a bound function may only be used to call the function

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: type name is not allowed

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: expected an expression

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: a pointer to a bound function may only be used to call the function

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: type name is not allowed

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: expected an expression

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: a pointer to a bound function may only be used to call the function

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: type name is not allowed

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: expected an expression

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: a pointer to a bound function may only be used to call the function

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: type name is not allowed

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: expected an expression

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: a pointer to a bound function may only be used to call the function

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: type name is not allowed

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: expected an expression

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: a pointer to a bound function may only be used to call the function

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: type name is not allowed

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: expected an expression

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: a pointer to a bound function may only be used to call the function

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: type name is not allowed

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: expected an expression

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: a pointer to a bound function may only be used to call the function

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: type name is not allowed

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: expected an expression

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: a pointer to a bound function may only be used to call the function

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: type name is not allowed

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: expected an expression

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: a pointer to a bound function may only be used to call the function

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: type name is not allowed

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: expected an expression

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: a pointer to a bound function may only be used to call the function

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: type name is not allowed

/home/a/GANSketching/training/networks/op/fused_bias_act_kernel.cu(79): error: expected an expression

37 errors detected in the compilation of "/tmp/tmpxft_000071ce_00000000-7_fused_bias_act_kernel.cpp1.ii".
[2/3] c++ -MMD -MF fused_bias_act.o.d -DTORCH_EXTENSION_NAME=fused -DTORCH_API_INCLUDE_EXTENSION_H -isystem /home/a/libraries/anaconda3/envs/gan/lib/python3.6/site-packages/torch/lib/include -isystem /home/a/libraries/anaconda3/envs/gan/lib/python3.6/site-packages/torch/lib/include/torch/csrc/api/include -isystem /home/a/libraries/anaconda3/envs/gan/lib/python3.6/site-packages/torch/lib/include/TH -isystem /home/a/libraries/anaconda3/envs/gan/lib/python3.6/site-packages/torch/lib/include/THC -isystem /usr/local/cuda/include -isystem /home/a/libraries/anaconda3/envs/gan/include/python3.6m -D_GLIBCXX_USE_CXX11_ABI=0 -fPIC -std=c++11 -c /home/a/GANSketching/training/networks/op/fused_bias_act.cpp -o fused_bias_act.o
FAILED: fused_bias_act.o 
c++ -MMD -MF fused_bias_act.o.d -DTORCH_EXTENSION_NAME=fused -DTORCH_API_INCLUDE_EXTENSION_H -isystem /home/a/libraries/anaconda3/envs/gan/lib/python3.6/site-packages/torch/lib/include -isystem /home/a/libraries/anaconda3/envs/gan/lib/python3.6/site-packages/torch/lib/include/torch/csrc/api/include -isystem /home/a/libraries/anaconda3/envs/gan/lib/python3.6/site-packages/torch/lib/include/TH -isystem /home/a/libraries/anaconda3/envs/gan/lib/python3.6/site-packages/torch/lib/include/THC -isystem /usr/local/cuda/include 5.4.0-isystem /home/a/libraries/anaconda3/envs/gan/include/python3.6m -D_GLIBCXX_USE_CXX11_ABI=0 -fPIC -std=c++11 -c /home/a/GANSketching/training/networks/op/fused_bias_act.cpp -o fused_bias_act.o
/home/a/GANSketching/training/networks/op/fused_bias_act.cpp: In function ‘at::Tensor fused_bias_act(const at::Tensor&, const at::Tensor&, const at::Tensor&, int, int, float, float)’:
/home/a/GANSketching/training/networks/op/fused_bias_act.cpp:7:82: error: ‘TORCH_CHECK’ was not declared in this scope
 #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                                                                                  ^
/home/a/GANSketching/training/networks/op/fused_bias_act.cpp:13:5: note: in expansion of macro ‘CHECK_CUDA’
     CHECK_CUDA(input);
     ^
ninja: build stopped: subcommand failed.

```

### 試したこと
・ninjaのインストール
・CUDAバージョン変更8から10

### 補足情報（FW/ツールのバージョンなど）

ninja                   1.10.2.3
tensorflow-gpu          2.6.2
termcolor               1.1.0
python                   3.6
gcc                      5.4.0
cuda                     8.0

ninja: build stopped コンパイルに失敗してしまう

質問内容はタイトルの通りです。
RaspberryPi3 modelBのGPIO25番とGNDに接続されたタクトスイッチが押されたらkazuという変数がOKからclickに変え、変更された値をjsに渡し、ページに変更された値を反映させるということをやりたいのです。

while Trueでタクトスイッチが押されるのを待機しているのですが、これではタクトスイッチを押さないとそもそもページに接続できなくなってしまいます。
どこにwhile文をおけばよいのでしょうか？よろしくお願いします。
以下ソースコードです。


```Python
from flask import Flask, render_template , request , url_for
import RPi.GPIO as GPIO

GPIO.setmode(GPIO.BCM)
GPIO.setup(25 , GPIO.IN)

app = Flask(__name__ , static_folder='./images')

@app.route('/')
def index_render():
    kazu = "OK"
    while True:
        if GPIO.input(25) == GPIO.HIGH:
            kazu="click"
            break
    return render_template("main.html",kazu=kazu)

if __name__ == '__main__':
         app.run()
```

```main.html

<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>Slot Page</title>
<style type="text/css">
#this_kazu{
   color: #FFFFFF;
   position: absolute;
}
</style>
<script src="{{url_for('static', filename='index.js')}}"></script>
</script>
</head>
<p id="this_kazu">{{kazu}}</p>
</body>
</html>

```

```index.js
//index.js

window.onload = function(){
alert("js loaded")
}
```

Flask,Python,jsでタクトスイッチが押されたらwebページ内の値を変更したい

### 実現したいこと
`ninja aseprite` コマンドを成功させる方法

### 質問内容
以下のエラーコードですが
asepriteの公式ギットハブサイトのインストール方法を見て実行したのですがこのエラーの解決方法がわかりません、バージョンを変更してみたのですがエラーコードの変化がなく、またネット上にも情報がないのですが、これは何をしたらいいのでしょうか？


### 前提
aseprite 1.3.7 : https://github.com/aseprite/aseprite/releases/tag/v1.3.7
Skia-m102 : https://github.com/aseprite/skia/releases/tag/m102-861e4743af
OS: windows10
```
>ninja aseprite
[1/1318] Building CXX object laf\ft\CMakeFiles\laf-ft.dir\stream.cpp.obj
FAILED: laf/ft/CMakeFiles/laf-ft.dir/stream.cpp.obj
C:\PROGRA~1\MICROS~2\2022\COMMUN~1\VC\Tools\MSVC\1440~1.338\bin\Hostx64\x64\cl.exe  /nologo /TP -DCMARK_STATIC_DEFINE -DHAVE_CONFIG_H -DHAVE_CONFIG_OVERRIDE_H=1 -DLAF_SKIA -DLAF_WINDOWS -DNDEBUG -DPNG_NO_MMX_CODE -DUNICODE -DWINVER=0x0A00 -D_UNICODE -D_WIN32_WINNT=0x0A00 -IC:\Users\User\Downloads\aseprite\third_party\zlib -IC:\Users\User\Downloads\aseprite\build\third_party\zlib -IC:\Users\User\Downloads\aseprite\third_party\libpng -IC:\Users\User\Downloads\aseprite\build\third_party\libpng -IC:\Users\User\Downloads\aseprite\third_party\tinyxml2 -IC:\Users\User\Downloads\aseprite\third_party\pixman\pixman -IC:\Users\User\Downloads\aseprite\build -IC:\Users\User\Downloads\aseprite\third_party\giflib -IC:\Users\User\Downloads\aseprite\third_party\jpeg -IC:\Users\User\Downloads\aseprite\third_party\curl\include -IC:\Users\User\Downloads\aseprite\third_party\simpleini -IC:\deps\skia\third_party\externals\freetype\include -IC:\deps\skia\third_party\externals\harfbuzz\src -IC:\Users\User\Downloads\aseprite\laf -IC:\Users\User\Downloads\aseprite\build\laf -IC:\Users\User\Downloads\aseprite\src /DWIN32 /D_WINDOWS /GR /EHsc /Zi /O2 /Ob1 /DNDEBUG -std:c++17 -MT /showIncludes /Folaf\ft\CMakeFiles\laf-ft.dir\stream.cpp.obj /Fdlaf\ft\CMakeFiles\laf-ft.dir\laf-ft.pdb /FS -c C:\Users\User\Downloads\aseprite\laf\ft\stream.cpp
C:\Users\User\Downloads\aseprite\laf\ft/freetype_headers.h(11): fatal error C1083: include ファイルを開けません。'ft2build.h':No such file or directory
[2/1318] Building CXX object laf\ft\CMakeFiles\laf-ft.dir\lib.cpp.obj
FAILED: laf/ft/CMakeFiles/laf-ft.dir/lib.cpp.obj
C:\PROGRA~1\MICROS~2\2022\COMMUN~1\VC\Tools\MSVC\1440~1.338\bin\Hostx64\x64\cl.exe  /nologo /TP -DCMARK_STATIC_DEFINE -DHAVE_CONFIG_H -DHAVE_CONFIG_OVERRIDE_H=1 -DLAF_SKIA -DLAF_WINDOWS -DNDEBUG -DPNG_NO_MMX_CODE -DUNICODE -DWINVER=0x0A00 -D_UNICODE -D_WIN32_WINNT=0x0A00 -IC:\Users\User\Downloads\aseprite\third_party\zlib -IC:\Users\User\Downloads\aseprite\build\third_party\zlib -IC:\Users\User\Downloads\aseprite\third_party\libpng -IC:\Users\User\Downloads\aseprite\build\third_party\libpng -IC:\Users\User\Downloads\aseprite\third_party\tinyxml2 -IC:\Users\User\Downloads\aseprite\third_party\pixman\pixman -IC:\Users\User\Downloads\aseprite\build -IC:\Users\User\Downloads\aseprite\third_party\giflib -IC:\Users\User\Downloads\aseprite\third_party\jpeg -IC:\Users\User\Downloads\aseprite\third_party\curl\include -IC:\Users\User\Downloads\aseprite\third_party\simpleini -IC:\deps\skia\third_party\externals\freetype\include -IC:\deps\skia\third_party\externals\harfbuzz\src -IC:\Users\User\Downloads\aseprite\laf -IC:\Users\User\Downloads\aseprite\build\laf -IC:\Users\User\Downloads\aseprite\src /DWIN32 /D_WINDOWS /GR /EHsc /Zi /O2 /Ob1 /DNDEBUG -std:c++17 -MT /showIncludes /Folaf\ft\CMakeFiles\laf-ft.dir\lib.cpp.obj /Fdlaf\ft\CMakeFiles\laf-ft.dir\laf-ft.pdb /FS -c C:\Users\User\Downloads\aseprite\laf\ft\lib.cpp
C:\Users\User\Downloads\aseprite\laf\ft/freetype_headers.h(11): fatal error C1083: include ファイルを開けません。'ft2build.h':No such file or directory
[6/1318] Building C object third_party\CMakeFiles\lua.dir\lua\ldo.c.obj
C:\Users\User\Downloads\aseprite\third_party\lua\ldo.c(144): warning C4530: C++ 例外処理を使っていますが、アンワインド セマンティクスは有効にはなりません。/EHsc を指定してください。
[8/1318] Building CXX object laf\gfx\CMakeFiles\laf-gfx.dir\region_skia.cpp.obj
FAILED: laf/gfx/CMakeFiles/laf-gfx.dir/region_skia.cpp.obj
C:\PROGRA~1\MICROS~2\2022\COMMUN~1\VC\Tools\MSVC\1440~1.338\bin\Hostx64\x64\cl.exe  /nologo /TP -DCMARK_STATIC_DEFINE -DHAVE_CONFIG_H -DHAVE_CONFIG_OVERRIDE_H=1 -DLAF_SKIA -DLAF_WINDOWS -DLAF_WITH_REGION -DNDEBUG -DPNG_NO_MMX_CODE -DSK_ALLOW_STATIC_GLOBAL_INITIALIZERS=1 -DSK_BUILD_FOR_WIN -DSK_ENABLE_SKSL=1 -DSK_GAMMA_APPLY_TO_A8 -DSK_GAMMA_SRGB -DSK_GL=1 -DSK_INTERNAL -DSK_SCALAR_TO_FLOAT_EXCLUDED -DSK_SUPPORT_GPU=1 -DUNICODE -DWINVER=0x0A00 -D_CRT_SECURE_NO_WARNINGS -D_UNICODE -D_WIN32_WINNT=0x0A00 -IC:\Users\User\Downloads\aseprite\third_party\zlib -IC:\Users\User\Downloads\aseprite\build\third_party\zlib -IC:\Users\User\Downloads\aseprite\third_party\libpng -IC:\Users\User\Downloads\aseprite\build\third_party\libpng -IC:\Users\User\Downloads\aseprite\third_party\tinyxml2 -IC:\Users\User\Downloads\aseprite\third_party\pixman\pixman -IC:\Users\User\Downloads\aseprite\build -IC:\Users\User\Downloads\aseprite\third_party\giflib -IC:\Users\User\Downloads\aseprite\third_party\jpeg -IC:\Users\User\Downloads\aseprite\third_party\curl\include -IC:\Users\User\Downloads\aseprite\third_party\simpleini -IC:\Users\User\Downloads\aseprite\laf -IC:\Users\User\Downloads\aseprite\build\laf -IC:\Users\User\Downloads\aseprite\src -IC:\deps\skia -IC:\deps\skia\third_party\externals\freetype\include -IC:\deps\skia\third_party\externals\harfbuzz\src /DWIN32 /D_WINDOWS /GR /EHsc /Zi /O2 /Ob1 /DNDEBUG -std:c++17 -MT /showIncludes /Folaf\gfx\CMakeFiles\laf-gfx.dir\region_skia.cpp.obj /Fdlaf\gfx\CMakeFiles\laf-gfx.dir\laf-gfx.pdb /FS -c C:\Users\User\Downloads\aseprite\laf\gfx\region_skia.cpp
C:\Users\User\Downloads\aseprite\laf\gfx/region_skia.h(16): fatal error C1083: include ファイルを開けません。'include/core/SkRegion.h':No such file or directory
[10/1318] Building CXX object laf\gfx\CMakeFiles\laf-gfx.dir\packing_rects.cpp.obj
FAILED: laf/gfx/CMakeFiles/laf-gfx.dir/packing_rects.cpp.obj
C:\PROGRA~1\MICROS~2\2022\COMMUN~1\VC\Tools\MSVC\1440~1.338\bin\Hostx64\x64\cl.exe  /nologo /TP -DCMARK_STATIC_DEFINE -DHAVE_CONFIG_H -DHAVE_CONFIG_OVERRIDE_H=1 -DLAF_SKIA -DLAF_WINDOWS -DLAF_WITH_REGION -DNDEBUG -DPNG_NO_MMX_CODE -DSK_ALLOW_STATIC_GLOBAL_INITIALIZERS=1 -DSK_BUILD_FOR_WIN -DSK_ENABLE_SKSL=1 -DSK_GAMMA_APPLY_TO_A8 -DSK_GAMMA_SRGB -DSK_GL=1 -DSK_INTERNAL -DSK_SCALAR_TO_FLOAT_EXCLUDED -DSK_SUPPORT_GPU=1 -DUNICODE -DWINVER=0x0A00 -D_CRT_SECURE_NO_WARNINGS -D_UNICODE -D_WIN32_WINNT=0x0A00 -IC:\Users\User\Downloads\aseprite\third_party\zlib -IC:\Users\User\Downloads\aseprite\build\third_party\zlib -IC:\Users\User\Downloads\aseprite\third_party\libpng -IC:\Users\User\Downloads\aseprite\build\third_party\libpng -IC:\Users\User\Downloads\aseprite\third_party\tinyxml2 -IC:\Users\User\Downloads\aseprite\third_party\pixman\pixman -IC:\Users\User\Downloads\aseprite\build -IC:\Users\User\Downloads\aseprite\third_party\giflib -IC:\Users\User\Downloads\aseprite\third_party\jpeg -IC:\Users\User\Downloads\aseprite\third_party\curl\include -IC:\Users\User\Downloads\aseprite\third_party\simpleini -IC:\Users\User\Downloads\aseprite\laf -IC:\Users\User\Downloads\aseprite\build\laf -IC:\Users\User\Downloads\aseprite\src -IC:\deps\skia -IC:\deps\skia\third_party\externals\freetype\include -IC:\deps\skia\third_party\externals\harfbuzz\src /DWIN32 /D_WINDOWS /GR /EHsc /Zi /O2 /Ob1 /DNDEBUG -std:c++17 -MT /showIncludes /Folaf\gfx\CMakeFiles\laf-gfx.dir\packing_rects.cpp.obj /Fdlaf\gfx\CMakeFiles\laf-gfx.dir\laf-gfx.pdb /FS -c C:\Users\User\Downloads\aseprite\laf\gfx\packing_rects.cpp
C:\Users\User\Downloads\aseprite\laf\gfx/region_skia.h(16): fatal error C1083: include ファイルを開けません。'include/core/SkRegion.h':No such file or directory
ninja: build stopped: subcommand failed.
```

### 試したこと
skiaライブラリのバージョンを変更

### 入力したコマンド
```
call "C:\Program Files\Microsoft Visual Studio\2022\Community\Common7\Tools\VsDevCmd.bat" -arch=x64

cd aseprite

mkdir build

cd build

cmake -DCMAKE_BUILD_TYPE=RelWithDebInfo -DLAF_BACKEND=skia -DSKIA_DIR=C:\deps\skia -DSKIA_LIBRARY_DIR=C:\deps\skia\out\Release-x64 -DSKIA_LIBRARY=C:\deps\skia\out\Release-x64\skia.lib -G Ninja ..

ninja aseprite // このコマンドを実行すると上記のエラー
```



asepriteのビルドで ninjaコマンドが失敗する原因が知りたい

解凍した/glib-2.60.7のディレクトリで
```
ninja -C _build install
```
を行うと、
```ここに言語を入力
ninja: Entering directory `_build'
[0/1] Installing files.
Installing glib/libglib-2.0.so.0.6000.7 to /usr/local/lib/x86_64-linux-gnu
Installation failed due to insufficient permissions.
Attempting to use polkit to gain elevated privileges...
Error getting authority: Error initializing authority: Could not connect: No such file or directory
FAILED: meson-install
/home/miminmi/.local/bin/meson install --no-rebuild
ninja: build stopped: subcommand failed.
```
と表示され進みません。
事前に

```
$ meson _build  
$ ninja -C _build
```
は行い、エラーは出ていません。

対処の方法を教えて下さい。

【Ubuntu】GLibのインストール時にninja installがうまくいかない

### 前提・実現したいこと

nanoemをUbuntuでビルドしようとしたところ、このようなエラーが出てビルドができません...

### 発生している問題・エラーメッセージ

```
-- [global] target architecture is x86_64 and compiler is gcc
-- [nanoem] branch prediction is enabled
-- [nanoem] JSON extension is enabled
-- [nanoem] mutable API extension is enabled
-- [nanoem] NMD motion extension is enabled
-- [nanoem] PMM document extension is enabled
-- [global] glm is located at /home/rumia-build/nanoem_source/dependencies/glm
-- [nanoem] bullet is located at /home/rumia-build/nanoem_source/dependencies/bullet3
-- [nanoem] physics simulation using bullet extension is enabled
-- [global] glm is located at /home/rumia-build/nanoem_source/dependencies/glm
-- [global] zlib is located at /home/rumia-build/nanoem_source/dependencies/zlib
-- [emapp] minizip is located at /home/rumia-build/nanoem_source/dependencies/minizip
-- [emapp] nanomsg is located at /home/rumia-build/nanoem_source/dependencies/nanomsg
-- [emapp/bundle] setup emapp bundle
-- [emapp] setup "sokol_noop" as installing plugin to plugins
-- [emapp/bundle] setup sokol noop backend renderer plugin
-- [emapp] setup "sokol_glcore33" as installing plugin to plugins
-- [emapp/bundle] setup sokol OpenGL 3.3 Core Profile backend renderer plugin
-- [emapp] setup "sokol_gles3" as installing plugin to plugins
-- [emapp/bundle] setup sokol OpenGL ES 3.0 backend renderer plugin
-- [emapp/resources] yaml-cpp is located at /home/rumia-build/nanoem_source/dependencies/yaml-cpp
-- [emapp/resources] setup emarb font
-- [emapp/resources] setup emarb protobuf
-- [emapp/resources] setup emarb shaders
-- [emapp/resources] setup emarb toon
-- [emapp/resources] setup emarb translation
-- [emapp] tbb is located at /home/rumia-build/nanoem_source/dependencies/tbb
-- [emapp] TBB is enabled
CMake Warning (dev) at /usr/share/cmake-3.16/Modules/FindOpenGL.cmake:275 (message):
  Policy CMP0072 is not set: FindOpenGL prefers GLVND by default when
  available.  Run "cmake --help-policy CMP0072" for policy details.  Use the
  cmake_policy command to set the policy and suppress this warning.

  FindOpenGL found both a legacy GL library:

    OPENGL_gl_LIBRARY: /usr/lib/x86_64-linux-gnu/libGL.so

  and GLVND libraries for OpenGL and GLX:

    OPENGL_opengl_LIBRARY: /usr/lib/x86_64-linux-gnu/libOpenGL.so
    OPENGL_glx_LIBRARY: /usr/lib/x86_64-linux-gnu/libGLX.so

  OpenGL_GL_PREFERENCE has not been set to "GLVND" or "LEGACY", so for
  compatibility with CMake 3.10 and below the legacy GL library will be used.
Call Stack (most recent call first):
  emapp/CMakeLists.txt:102 (find_package)
  sapp/CMakeLists.txt:11 (nanoem_emapp_link_executable)
This warning is for project developers.  Use -Wno-dev to suppress it.

-- [emapp] setup linkage of "nanoem_sapp"
CMake Error: The following variables are used in this project, but they are set to NOTFOUND.
Please set them or make sure they are set and tested correctly in the CMake files:
/home/rumia-build/nanoem_source/emapp/MINIZIP_INCLUDE_DIR
   used as include directory in directory /home/rumia-build/nanoem_source/emapp
/home/rumia-build/nanoem_source/emapp/ZLIB_INCLUDE_DIR
   used as include directory in directory /home/rumia-build/nanoem_source/emapp
/home/rumia-build/nanoem_source/nanoem/BULLET_INCLUDE_DIR
   used as include directory in directory /home/rumia-build/nanoem_source/nanoem
   used as include directory in directory /home/rumia-build/nanoem_source/emapp
   used as include directory in directory /home/rumia-build/nanoem_source/emapp
   used as include directory in directory /home/rumia-build/nanoem_source/sapp
MINIZIP_LIBRARY_DEBUG (ADVANCED)
    linked by target "nanoem_sapp" in directory /home/rumia-build/nanoem_source/sapp
MINIZIP_LIBRARY_RELEASE (ADVANCED)
    linked by target "nanoem_sapp" in directory /home/rumia-build/nanoem_source/sapp
X11_Xcursor_LIB (ADVANCED)
    linked by target "nanoem_sapp" in directory /home/rumia-build/nanoem_source/sapp
X11_Xi_LIB (ADVANCED)
    linked by target "nanoem_sapp" in directory /home/rumia-build/nanoem_source/sapp
X11_Xinerama_LIB (ADVANCED)
    linked by target "nanoem_sapp" in directory /home/rumia-build/nanoem_source/sapp
X11_Xrandr_LIB (ADVANCED)
    linked by target "nanoem_sapp" in directory /home/rumia-build/nanoem_source/sapp
X11_Xxf86vm_LIB (ADVANCED)
    linked by target "nanoem_sapp" in directory /home/rumia-build/nanoem_source/sapp

-- Configuring incomplete, errors occurred!
See also "/home/rumia-build/nanoem_source/out/CMakeFiles/CMakeOutput.log".

```

### 試したこと

curl cmake g++ などの再インストール

### 補足情報（FW/ツールのバージョンなど）

Ubuntu 20.04.2.0 LTS 

install

libgl1-mesa-dev
libcurl4-openssl-dev
ninja-build
cmake
g++
git
curl