I get the following error. I can install pytorch on the smaller test environment fine, but when I try to install it outside of the test env. I get the following error. I tried downgrading from Python 3.6.3 to 3.6.0 to no avail. Additionally, if I uninstall for the package that conda questions, I just get the same error with a new package (ex. I uninstalled xeus but qt now appeared. Any suggestions?

Solving environment: failed

UnsatisfiableError: The following specifications were found to be in conflict:
  - pytorch
  - qt -> icu=58 -> *[track_features=vc14]
  - qt -> icu=58 -> vc==14
Use "conda info <package>" to see the dependencies for each package.

I am trying to install the latest version of PyTorch for Windows 10 by using cpu.bat, as my computer doesn't have a CUDA-compatible GPU. While running the script using VS prompt, I get the following error when it tries to build ATEN:

-- Build files have been written to: C:/.../pytorch-scripts/pytorch/aten/build

C:\...\pytorch-scripts\pytorch\aten\build>msbuild INSTALL.vcxproj /p:Configuration=Release
Microsoft (R) Build Engine version 15.6.85.37198 for .NET Framework
Copyright (C) Microsoft Corporation. All rights reserved.

MSBUILD : error MSB1009: Project file does not exist.
Switch: INSTALL.vcxproj

C:\...\pytorch-scripts\pytorch\aten\build>IF NOT 1 == 0 exit 1

but I can't find this file anywhere in the directory. Where is it supposed to be?

Hi @peterjc123,

Finished building Caffe2 with Visual Studio 2015 and the script is ready. At the moment pytorch is cloned from my fork, where the build fully runs. When everything with adapting my pytorch PR will be agreed, of course will switch it to the main repo.

The only exception found at the moment is CUDA 8 in Debug mode. In Release though, it still is able to build. Successfully tried CUDA 9.0, 9.1, python 2.7 and 3.5, cudnn 7.* in both Debug and Release.

The vc=14.1 package appears to be missing some DLLs so breaks conda build on my Win7 machine:

See discussion at https://gitter.im/conda/conda-build?at=5a94acef35dd17022efa734d

I do have VS2017 installed so this doesn't affect my normal day-to-day usage. conda build however creates a clean environment and it appears that when vc=14.1 is installed in this environment python can't start because of the missing DLLs (IIUC).

I have installed the right pytorch from pytorch v0.3.1 I have maxwell GPU QuadroM1200 which is of compute capability 5.0. I am using windows10 64bit. Despite of installing all required dependencies, I am getting the below error while importing torch in python interpreter.

(fastai) C:\Users\Mahesh.Bhosale>python Python 3.6.5 |Anaconda, Inc.| (default, Mar 29 2018, 13:32:41) [MSC v.1900 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information.

>>> import torch
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\Mahesh.Bhosale\AppData\Local\Continuum\anaconda3\envs\fastai\lib\site-packages\torch\__init__.py", line 76, in <module>
    from torch._C import *
ImportError: DLL load failed: The specified module could not be found.
>>> exit()

I am not in a position or rather hesitating to build from the source at current moment can you please guide ?

Been trying to build Pytorch from source in Windows 10, really stuck here. Using Anaconda.

INPUT

(torchTest) C:\Users\pazzu\Documents\pytorch-scripts>cuda100 Ninja not found. It can be used to accelerate builds. You can install ninja using pip install ninja. MAGMA_HOME is set. MAGMA will be included in build. The flags after configuration: NO_CUDA= CMAKE_GENERATOR=Visual Studio 15 2017 Win64 CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0 DISTUTILS_USE_SDK=1 Do you wish to continue? (Y/N)

OUTPUT .... "C:\Users\pazzu\Documents\pytorch-scripts\pytorch\build\INSTALL.vcxproj" (default target) (1) -> "C:\Users\pazzu\Documents\pytorch-scripts\pytorch\build\ALL_BUILD.vcxproj" (default target) (3) -> "C:\Users\pazzu\Documents\pytorch-scripts\pytorch\build\caffe2\AlgorithmsTest.vcxproj" (default target) (4) -> "C:\Users\pazzu\Documents\pytorch-scripts\pytorch\build\caffe2\caffe2_gpu.vcxproj" (default target) (22) -> (CustomBuild target) -> Error : Internal Compiler error (codegen): "there was an error in verifying the lgenfe output!" [C:\Users\pazzu\Docum ents\pytorch-scripts\pytorch\build\caffe2\caffe2_gpu.vcxproj]

32851 Warning(s)
1 Error(s)

Time Elapsed 02:18:20.84

(torchTest) C:\Users\pazzu\Documents\pytorch-scripts\pytorch\build>IF ERRORLEVEL 1 exit 1 Failed to run 'tools\build_pytorch_libs.bat --use-cuda --use-nnpack --use-mkldnn --use-qnnpack caffe2'

I cloned the git and ran cuda91.bat, right after it checks out clang I hit this error:

Submodule path 'torch/lib/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
aten\src\ATen\common_with_cwrap.py
1 File(s) copied
\paragon was unexpected at this time.

Re-running the script just gives me the same error right away.

Tried searching it before asking, buuut...

And I tried seeing if it was just a package I needed...

>conda install paragon
Solving environment: failed

PackagesNotFoundError: The following packages are not available from current channels:

  - paragon

Any idea?

Current environment: windows 7, conda using python 3.6, fx-8350 cpu.

When i test using torch.get_num_threads() it returns 1. I tried fixing with

torch.set_num_threads(8)

and the number returned by get_num_threads() updates - however pytorch still only uses one thread. I think it has to be specific to the windows port, because running pytorch within a virtual linux environment utilizes all available cores in the virtual machine.

Thanks for providing the Windows packages!

Just wanted to mention that I'm trying to cut a new release of https://github.com/maciejkula/spotlight, and I have made the switch to v0.3.1.

Can I give a hand with pushing the v0.3.1 conda packages in any way?

One of your suggestions on the pytorch git was I should build from your repo, but there doesn't seem to be a cuda91 package despite there being a cuda91.bat file present.

Hi,

I don't know if my problem belong here. I'm using pytorch scripts on windows and i'm having issues converting my model to fp16 using ".half()" on the entire model and converting BatchNorm layers to .float() When I run my code it crashes and give me an error "Python stopped working" without showing any exception. I searched in the Event Viewer the reason why and got the following: Faulting application name: python.exe, version: 3.6.4150.1013, time stamp: 0x5a5e439a Faulting module name: _C.cp36-win_amd64.pyd, version: 0.0.0.0, time stamp: 0x5a91cbee Exception code: 0xc0000005 Fault offset: 0x000000000078cd95 Faulting process id: 0x2c78 Faulting application start time: 0x01d3b5ee018887d6

Hello,

I ran "conda install -c peterjc123 pytorch" on Ubuntu 16.04 with CUDA 9.2, but Anaconda is showing an install for Pytorch 1.3.1 and not 0.3.1. The same happens for CUDA 10.2. Can I know why this happens?

In the README.md, I see:

#### 1.

Plus: The support for old NV cards (Compute Capability <= 5.0) is over. There're mainly two ways to resolve this:

You can install legacy packages. See description in this section below. Install CI packages. However, you have to handle the dependencies by yourself. See About CI packages for details.

Is this list perhaps not complete? I thought I can also install the most recent version from source from a Compute Capability of 3.5 onwards. CC 3.5 is only deprecated, but it is still accepted by the most recent versions of CUDA and cuDNN.

#### 2.

"About the nightly packages"

If you click on the badges of the picture, the links do not lead to a download. As 3.8 is now the most recent Python, the badges are not needed anyway in my case, just mentioning it.

#### 3.

From the whole readme, I do not get the clear information if I can get a simple installation of a most recent pytorch install from source with CUDA 11.0 and the most recent cuDNN for my older NV card with Compute Capability 3.5.

For now, I will try instead installing from source, using the cloned git project of pytorch and using the guide of https://github.com/pytorch/pytorch#from-source. I want to compile it with mkl. It is not clear whether the simplified scripts of this project "pytorch-scripts" can help me doing that, since it seems to support only legacy versions of CUDA.

@peterjc123 Would it be possible to build a static LibTorch build for Windows, right now we are facing a couple of issues

1. The final lib file is too big, it is around 740MB. the corresponding builds in Mac/Ubuntu is around 64MB. Even though we switched off the USE_MKL
2. It gives us a linking error while loading a touch script model. https://github.com/pytorch/pytorch/issues/14367

It would be helpful if you have any suggestions to get a static library