ludwig · October 31, 2023 14:52 · Mar 7, 2022 · Mar 7, 2022 · Mar 7, 2022 · Mar 7, 2022
diff --git a/CMakeLists.txt b/CMakeLists.txt
@@ -1,8 +1,8 @@
 cmake_minimum_required(VERSION 3.10 FATAL_ERROR)
 project(example)
-set(CMAKE_CXX_STANDARD 14)
 
 find_package(Torch REQUIRED)
 
 add_executable(main main.cpp)
 target_link_libraries(main ${TORCH_LIBRARIES})
+set_property(TARGET main PROPERTY CXX_STANDARD 14)
diff --git a/CMakeLists.txt b/CMakeLists.txt
@@ -1,8 +1,8 @@
 cmake_minimum_required(VERSION 3.10 FATAL_ERROR)
 project(example)
-set(CMAKE_CXX_STANDARD 11)
+set(CMAKE_CXX_STANDARD 14)
 
 find_package(Torch REQUIRED)
 
 add_executable(main main.cpp)
-target_link_libraries(main ${TORCH_LIBRARIES})
+target_link_libraries(main ${TORCH_LIBRARIES})
diff --git a/A guide to install and use the PyTorch C++ API with Anaconda.md b/A guide to install and use the PyTorch C++ API with Anaconda.md
@@ -64,7 +64,7 @@ Great you came this far, now lets see if everything worked well. Here is a minim
 ```shell
 mkdir build
 cd build
-cmake -DCMAKE_PREFIX_PATH="${HOME}/anaconda3/envs/py39_torch/lib/python3.7/site-packages/torch" ..
+cmake -DCMAKE_PREFIX_PATH="${HOME}/anaconda3/envs/py39_torch/lib/python3.9/site-packages/torch" ..
 make
 ```
 * Run the example

diff --git a/A guide to install and use the PyTorch C++ API with Anaconda.md b/A guide to install and use the PyTorch C++ API with Anaconda.md
@@ -64,7 +64,7 @@ Great you came this far, now lets see if everything worked well. Here is a minim
 ```shell
 mkdir build
 cd build
-cmake -DCMAKE_PREFIX_PATH="${HOME}/anaconda3/envs/py37_torch/lib/python3.7/site-packages/torch" ..
+cmake -DCMAKE_PREFIX_PATH="${HOME}/anaconda3/envs/py39_torch/lib/python3.7/site-packages/torch" ..
 make
 ```
 * Run the example

diff --git a/A guide to install and use the PyTorch C++ API with Anaconda.md b/A guide to install and use the PyTorch C++ API with Anaconda.md
@@ -3,24 +3,24 @@
 The best way to get a clean installation of [PyTorch](https://pytorch.org/), is to install the pre-compiled binaries from the [Anaconda](https://www.anaconda.com/) distribution. Therefore, we need to setup Anaconda first.
 
 ## Step 1: Install Anaconda
-* Go to the [download section](https://www.anaconda.com/distribution/) and download your desired Anaconda version for Linux
+* Go to the [download section](https://www.anaconda.com/products/individual#Downloads) and download your desired Anaconda version for Linux
 
 <p align="center"><img src="https://user-images.githubusercontent.com/26366414/54727908-ceda0a00-4b7a-11e9-858e-6bb07a1a64e4.png" width="70%" height="70%"></p>
 
 * Run the downloaded shell script and follow the install instruction, do
 ```shell
 cd ~/Downloads
-sh Anaconda3-2018.12-Linux-x86_64.sh # actual name depends on your download
+sh Anaconda3-2021.11-Linux-x86_64.sh # actual name depends on your download
 ```
 
 ## Step 2: Setup an Environment
 * To keep things clean, now setup an environment for Anaconda, do
 ```shell
-conda create --name py37_torch python=3.7 # you can choose the name of the environment and the python version
+conda create --name py39_torch python=3.9 # you can choose the name of the environment and the python version
 ```
 * Activate the environment
 ```shell
-conda activate py37_torch
+conda activate py39_torch
 ```
 
 ## Step 3: Install PyTorch

diff --git a/A guide to install and use the PyTorch C++ API with Anaconda.md b/A guide to install and use the PyTorch C++ API with Anaconda.md
@@ -64,7 +64,7 @@ Great you came this far, now lets see if everything worked well. Here is a minim
 ```shell
 mkdir build
 cd build
-cmake -DCMAKE_PREFIX_PATH=${HOME}/anaconda3/envs/py37_torch/lib/python3.7/site-packages/torch" ..
+cmake -DCMAKE_PREFIX_PATH="${HOME}/anaconda3/envs/py37_torch/lib/python3.7/site-packages/torch" ..
 make
 ```
 * Run the example

diff --git a/A guide to install and use the PyTorch C++ API with Anaconda.md b/A guide to install and use the PyTorch C++ API with Anaconda.md
@@ -41,12 +41,12 @@ conda install pytorch-cpu torchvision-cpu -c pytorch
 Sometimes you want to compile from source, due to specific dependencies for example. You can look up what to do [here](https://github.com/pytorch/pytorch). The main steps are
 * Get dependencies
 ```shell
-conda install numpy pyyaml mkl mkl-include setuptools cmake cffi typing
+conda install numpy ninja pyyaml mkl mkl-include setuptools cmake cffi typing
 ```
 * In case you want to use CUDA on a GPU, **otherwise you can skip**
 ```shell
 # Add LAPACK support for the GPU if needed
-conda install -c pytorch magma-cuda92 # or [magma-cuda80 | magma-cuda91] depending on your cuda version
+conda install -c pytorch magma-cuda90 # or [magma-cuda92 | magma-cuda100 ] depending on your cuda version
 ```
 * Clone PyTorch from GitHub
 ```shell

diff --git a/A guide to install and use the PyTorch C++ API with Anaconda.md b/A guide to install and use the PyTorch C++ API with Anaconda.md
@@ -31,14 +31,14 @@ There are **two different** ways on how to proceed.
 
 <p align="center"><img src="https://user-images.githubusercontent.com/26366414/54728267-22e5ee00-4b7d-11e9-8671-1e16ac8ac4d1.png" width="70%" height="70%"></p>
 
-* Run the proposed command, here
+* Run the proposed command, and **make sure your environment is activated**
 
 ```shell
 conda install pytorch-cpu torchvision-cpu -c pytorch
 ```
 
 ### Install from Source
-Sometime you want to compile from source, due to specific dependencies for example. You can look up what to do [here](https://github.com/pytorch/pytorch). The main steps are
+Sometimes you want to compile from source, due to specific dependencies for example. You can look up what to do [here](https://github.com/pytorch/pytorch). The main steps are
 * Get dependencies
 ```shell
 conda install numpy pyyaml mkl mkl-include setuptools cmake cffi typing

diff --git a/A guide to install and use the PyTorch C++ API with Anaconda.md b/A guide to install and use the PyTorch C++ API with Anaconda.md
@@ -60,7 +60,7 @@ python setup.py install
 ```
 ## Step 4: Link against libtorch.so
 Great you came this far, now lets see if everything worked well. Here is a minimal example, on how to link against the C++ API of Pytorch.
-* Build the example, the path depends on your installation. If you followed the previous step, it should be
+* Build the example, the path depends on your installation. If you followed the previous steps, it should be
 ```shell
 mkdir build
 cd build

diff --git a/a_guide.md → ... use the PyTorch C++ API with Anaconda.md b/a_guide.md → ... use the PyTorch C++ API with Anaconda.md
diff --git a/a_guide.md b/a_guide.md
@@ -15,11 +15,11 @@ sh Anaconda3-2018.12-Linux-x86_64.sh # actual name depends on your download
 
 ## Step 2: Setup an Environment
 * To keep things clean, now setup an environment for Anaconda, do
-```
+```shell
 conda create --name py37_torch python=3.7 # you can choose the name of the environment and the python version
 ```
 * Activate the environment
-```
+```shell
 conda activate py37_torch
 ```
 
@@ -33,42 +33,42 @@ There are **two different** ways on how to proceed.
 
 * Run the proposed command, here
 
-```
+```shell
 conda install pytorch-cpu torchvision-cpu -c pytorch
 ```
 
 ### Install from Source
 Sometime you want to compile from source, due to specific dependencies for example. You can look up what to do [here](https://github.com/pytorch/pytorch). The main steps are
 * Get dependencies
-```
+```shell
 conda install numpy pyyaml mkl mkl-include setuptools cmake cffi typing
 ```
 * In case you want to use CUDA on a GPU, **otherwise you can skip**
-```
+```shell
 # Add LAPACK support for the GPU if needed
 conda install -c pytorch magma-cuda92 # or [magma-cuda80 | magma-cuda91] depending on your cuda version
 ```
 * Clone PyTorch from GitHub
-```
+```shell
 git clone --recursive https://github.com/pytorch/pytorch
 cd pytorch
 ```
 * Install PyTorch, **make sure your environment is activated**
-```
+```shell
 export CMAKE_PREFIX_PATH=${CONDA_PREFIX:-"$(dirname $(which conda))/../"}
 python setup.py install
 ```
 ## Step 4: Link against libtorch.so
 Great you came this far, now lets see if everything worked well. Here is a minimal example, on how to link against the C++ API of Pytorch.
 * Build the example, the path depends on your installation. If you followed the previous step, it should be
-```
+```shell
 mkdir build
 cd build
 cmake -DCMAKE_PREFIX_PATH=${HOME}/anaconda3/envs/py37_torch/lib/python3.7/site-packages/torch" ..
 make
 ```
 * Run the example
-```
+```shell
 ./main
 ```
 Thats it! Hope it helped you.
diff --git a/a_guide.md b/a_guide.md
@@ -26,7 +26,7 @@ conda activate py37_torch
 ## Step 3: Install PyTorch
 There are **two different** ways on how to proceed. 
 
-### Install Pre-Compiled Binaries
+### Install pre-compiled Binaries
 * Go to [pytorch.org](https://pytorch.org/) and choose your desired settings like so
 
 <p align="center"><img src="https://user-images.githubusercontent.com/26366414/54728267-22e5ee00-4b7d-11e9-8671-1e16ac8ac4d1.png" width="70%" height="70%"></p>

diff --git a/a_guide.md b/a_guide.md
@@ -59,4 +59,16 @@ export CMAKE_PREFIX_PATH=${CONDA_PREFIX:-"$(dirname $(which conda))/../"}
 python setup.py install
 ```
 ## Step 4: Link against libtorch.so
-Great you came this far, now lets see if everything worked well. Here is a minimal example, on how to link against the C++ API of Pytorch.
+Great you came this far, now lets see if everything worked well. Here is a minimal example, on how to link against the C++ API of Pytorch.
+* Build the example, the path depends on your installation. If you followed the previous step, it should be
+```
+mkdir build
+cd build
+cmake -DCMAKE_PREFIX_PATH=${HOME}/anaconda3/envs/py37_torch/lib/python3.7/site-packages/torch" ..
+make
+```
+* Run the example
+```
+./main
+```
+Thats it! Hope it helped you.
diff --git a/1 CMakeLists.txt → CMakeLists.txt b/1 CMakeLists.txt → CMakeLists.txt
diff --git a/0guide.md → a_guide.md b/0guide.md → a_guide.md
diff --git a/main.cpp b/main.cpp
@@ -0,0 +1,9 @@
+#include <torch/torch.h>
+
+int main()
+{
+    torch::Tensor tensor = torch::zeros({2, 2});
+    std::cout << tensor << std::endl;
+
+    return 0;
+}
diff --git a/1CMakeLists.txt → 1 CMakeLists.txt b/1CMakeLists.txt → 1 CMakeLists.txt
diff --git a/guide.md → 0guide.md b/guide.md → 0guide.md
diff --git a/CMakeLists.txt → 1CMakeLists.txt b/CMakeLists.txt → 1CMakeLists.txt
diff --git a/CMakeLists.txt b/CMakeLists.txt
@@ -0,0 +1,8 @@
+cmake_minimum_required(VERSION 3.10 FATAL_ERROR)
+project(example)
+set(CMAKE_CXX_STANDARD 11)
+
+find_package(Torch REQUIRED)
+
+add_executable(main main.cpp)
+target_link_libraries(main ${TORCH_LIBRARIES})
diff --git a/guide.md b/guide.md
@@ -24,7 +24,7 @@ conda activate py37_torch
 ```
 
 ## Step 3: Install PyTorch
-There are two different ways on how to proceed. 
+There are **two different** ways on how to proceed. 
 
 ### Install Pre-Compiled Binaries
 * Go to [pytorch.org](https://pytorch.org/) and choose your desired settings like so
@@ -59,4 +59,4 @@ export CMAKE_PREFIX_PATH=${CONDA_PREFIX:-"$(dirname $(which conda))/../"}
 python setup.py install
 ```
 ## Step 4: Link against libtorch.so
-Great you came this far, now lets see if everything worked well. Here is a minimal example, on how to link against the C++ API of Pytorch
+Great you came this far, now lets see if everything worked well. Here is a minimal example, on how to link against the C++ API of Pytorch.
diff --git a/guide.md b/guide.md
@@ -43,8 +43,20 @@ Sometime you want to compile from source, due to specific dependencies for examp
 ```
 conda install numpy pyyaml mkl mkl-include setuptools cmake cffi typing
 ```
-* In case you want to use CUDA on a GPU, *otherwise you can skip*
+* In case you want to use CUDA on a GPU, **otherwise you can skip**
 ```
 # Add LAPACK support for the GPU if needed
 conda install -c pytorch magma-cuda92 # or [magma-cuda80 | magma-cuda91] depending on your cuda version
-```
+```
+* Clone PyTorch from GitHub
+```
+git clone --recursive https://github.com/pytorch/pytorch
+cd pytorch
+```
+* Install PyTorch, **make sure your environment is activated**
+```
+export CMAKE_PREFIX_PATH=${CONDA_PREFIX:-"$(dirname $(which conda))/../"}
+python setup.py install
+```
+## Step 4: Link against libtorch.so
+Great you came this far, now lets see if everything worked well. Here is a minimal example, on how to link against the C++ API of Pytorch
diff --git a/guide.md b/guide.md
@@ -37,5 +37,14 @@ There are two different ways on how to proceed.
 conda install pytorch-cpu torchvision-cpu -c pytorch
 ```
 
-
-### Install from Source
+### Install from Source
+Sometime you want to compile from source, due to specific dependencies for example. You can look up what to do [here](https://github.com/pytorch/pytorch). The main steps are
+* Get dependencies
+```
+conda install numpy pyyaml mkl mkl-include setuptools cmake cffi typing
+```
+* In case you want to use CUDA on a GPU, *otherwise you can skip*
+```
+# Add LAPACK support for the GPU if needed
+conda install -c pytorch magma-cuda92 # or [magma-cuda80 | magma-cuda91] depending on your cuda version
+```
diff --git a/guide.md b/guide.md
@@ -14,15 +14,28 @@ sh Anaconda3-2018.12-Linux-x86_64.sh # actual name depends on your download
 ```
 
 ## Step 2: Setup an Environment
-To keep things clean, now setup an environment for Anaconda, do
+* To keep things clean, now setup an environment for Anaconda, do
 ```
 conda create --name py37_torch python=3.7 # you can choose the name of the environment and the python version
 ```
+* Activate the environment
+```
+conda activate py37_torch
+```
 
 ## Step 3: Install PyTorch
 There are two different ways on how to proceed. 
 
 ### Install Pre-Compiled Binaries
-Go to [pytorch.org](https://pytorch.org/) and choose your desired settings like so
+* Go to [pytorch.org](https://pytorch.org/) and choose your desired settings like so
+
+<p align="center"><img src="https://user-images.githubusercontent.com/26366414/54728267-22e5ee00-4b7d-11e9-8671-1e16ac8ac4d1.png" width="70%" height="70%"></p>
+
+* Run the proposed command, here
+
+```
+conda install pytorch-cpu torchvision-cpu -c pytorch
+```
+
 
 ### Install from Source
diff --git a/guide.md b/guide.md
@@ -12,3 +12,17 @@ The best way to get a clean installation of [PyTorch](https://pytorch.org/), is
 cd ~/Downloads
 sh Anaconda3-2018.12-Linux-x86_64.sh # actual name depends on your download
 ```
+
+## Step 2: Setup an Environment
+To keep things clean, now setup an environment for Anaconda, do
+```
+conda create --name py37_torch python=3.7 # you can choose the name of the environment and the python version
+```
+
+## Step 3: Install PyTorch
+There are two different ways on how to proceed. 
+
+### Install Pre-Compiled Binaries
+Go to [pytorch.org](https://pytorch.org/) and choose your desired settings like so
+
+### Install from Source
diff --git a/guide.md b/guide.md
@@ -7,9 +7,8 @@ The best way to get a clean installation of [PyTorch](https://pytorch.org/), is
 
 <p align="center"><img src="https://user-images.githubusercontent.com/26366414/54727908-ceda0a00-4b7a-11e9-858e-6bb07a1a64e4.png" width="70%" height="70%"></p>
 
-* Run the downloaded shell script (the name of the script depends on your previous download), do
+* Run the downloaded shell script and follow the install instruction, do
 ```shell
 cd ~/Downloads
-sh Anaconda3-2018.12-Linux-x86_64.sh 
+sh Anaconda3-2018.12-Linux-x86_64.sh # actual name depends on your download
 ```
-Follow the install instructions there
diff --git a/guide.md b/guide.md
@@ -12,4 +12,4 @@ The best way to get a clean installation of [PyTorch](https://pytorch.org/), is
 cd ~/Downloads
 sh Anaconda3-2018.12-Linux-x86_64.sh 
 ```
-
+Follow the install instructions there
diff --git a/guide.md b/guide.md
@@ -5,7 +5,7 @@ The best way to get a clean installation of [PyTorch](https://pytorch.org/), is
 ## Step 1: Install Anaconda
 * Go to the [download section](https://www.anaconda.com/distribution/) and download your desired Anaconda version for Linux
 
-<img src="https://user-images.githubusercontent.com/26366414/54727908-ceda0a00-4b7a-11e9-858e-6bb07a1a64e4.png" width="70%" height="70%">
+<p align="center"><img src="https://user-images.githubusercontent.com/26366414/54727908-ceda0a00-4b7a-11e9-858e-6bb07a1a64e4.png" width="70%" height="70%"></p>
 
 * Run the downloaded shell script (the name of the script depends on your previous download), do
 ```shell

diff --git a/guide.md b/guide.md
@@ -5,7 +5,7 @@ The best way to get a clean installation of [PyTorch](https://pytorch.org/), is
 ## Step 1: Install Anaconda
 * Go to the [download section](https://www.anaconda.com/distribution/) and download your desired Anaconda version for Linux
 
-![download_anaconda](https://user-images.githubusercontent.com/26366414/54727908-ceda0a00-4b7a-11e9-858e-6bb07a1a64e4.png | width=100)
+<img src="https://user-images.githubusercontent.com/26366414/54727908-ceda0a00-4b7a-11e9-858e-6bb07a1a64e4.png" width="70%" height="70%">
 
 * Run the downloaded shell script (the name of the script depends on your previous download), do
 ```shell

diff --git a/guide.md b/guide.md
@@ -5,7 +5,7 @@ The best way to get a clean installation of [PyTorch](https://pytorch.org/), is
 ## Step 1: Install Anaconda
 * Go to the [download section](https://www.anaconda.com/distribution/) and download your desired Anaconda version for Linux
 
-![download_anaconda](https://user-images.githubusercontent.com/26366414/54727908-ceda0a00-4b7a-11e9-858e-6bb07a1a64e4.png)
+![download_anaconda](https://user-images.githubusercontent.com/26366414/54727908-ceda0a00-4b7a-11e9-858e-6bb07a1a64e4.png | width=100)
 
 * Run the downloaded shell script (the name of the script depends on your previous download), do
 ```shell

diff --git a/guide.md b/guide.md
@@ -4,10 +4,12 @@ The best way to get a clean installation of [PyTorch](https://pytorch.org/), is
 
 ## Step 1: Install Anaconda
 * Go to the [download section](https://www.anaconda.com/distribution/) and download your desired Anaconda version for Linux
+
+![download_anaconda](https://user-images.githubusercontent.com/26366414/54727908-ceda0a00-4b7a-11e9-858e-6bb07a1a64e4.png)
+
 * Run the downloaded shell script (the name of the script depends on your previous download), do
 ```shell
 cd ~/Downloads
 sh Anaconda3-2018.12-Linux-x86_64.sh 
 ```
-![download_anaconda](https://user-images.githubusercontent.com/26366414/54727908-ceda0a00-4b7a-11e9-858e-6bb07a1a64e4.png)
 
diff --git a/guide.md b/guide.md
@@ -9,4 +9,5 @@ The best way to get a clean installation of [PyTorch](https://pytorch.org/), is
 cd ~/Downloads
 sh Anaconda3-2018.12-Linux-x86_64.sh 
 ```
-![]
+![download_anaconda](https://user-images.githubusercontent.com/26366414/54727908-ceda0a00-4b7a-11e9-858e-6bb07a1a64e4.png)
+