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try v1.12 #118

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wants to merge 14 commits into from
Closed

try v1.12 #118

wants to merge 14 commits into from

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ngam
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@ngam ngam commented Jun 14, 2022

The goal of this dev PR is:

  • uncover any potential errors in 1.12 early
  • think through the MPS implementation more thoroughly

xref #107

Checklist

  • Used a personal fork of the feedstock to propose changes
  • Bumped the build number (if the version is unchanged)
  • Reset the build number to 0 (if the version changed)
  • Re-rendered with the latest conda-smithy (Use the phrase @conda-forge-admin, please rerender in a comment in this PR for automated rerendering)
  • Ensured the license file is being packaged.

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Hi! This is the friendly automated conda-forge-linting service.

I just wanted to let you know that I linted all conda-recipes in your PR (recipe) and found it was in an excellent condition.

@ngam
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ngam commented Jun 14, 2022

@conda-forge-admin, please rerender.

@ngam
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ngam commented Jun 14, 2022

@conda-forge-admin, please rerender

@ngam
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ngam commented Jun 14, 2022

@conda-forge-admin, please rerender.

conda-forge-webservices[bot] and others added 2 commits June 14, 2022 13:30
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ngam commented Jun 14, 2022

Never noticed this before...

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  /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214379416/_build_env/bin/cmake -E remove /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214379416/work/build/third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/nccl/gloo_cuda_generated_nccl.cu.o.depend.tmp /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214379416/work/build/third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/nccl/gloo_cuda_generated_nccl.cu.o.NVCC-depend
  -- Generating /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214379416/work/build/third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/nccl/./gloo_cuda_generated_nccl.cu.o
  /usr/local/cuda/bin/nvcc /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214379416/work/third_party/gloo/gloo/nccl/nccl.cu -c -o /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214379416/work/build/third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/nccl/./gloo_cuda_generated_nccl.cu.o -ccbin /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214379416/_build_env/bin/x86_64-conda-linux-gnu-cc -m64 -Xfatbin -compress-all -DONNX_NAMESPACE=onnx_torch -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_75,code=compute_75 -Xcudafe --diag_suppress=cc_clobber_ignored,--diag_suppress=integer_sign_change,--diag_suppress=useless_using_declaration,--diag_suppress=set_but_not_used,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_inter...
  Generated /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214379416/work/build/third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/nccl/./gloo_cuda_generated_nccl.cu.o successfully.

@ngam
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ngam commented Jun 14, 2022

@hmaarrfk this is the CUDA linux error I mentioned previously.

  [19/1119] /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/_build_env/bin/x86_64-conda-linux-gnu-c++ -DHAVE_MALLOC_USABLE_SIZE=1 -DHAVE_MMAP=1 -DHAVE_SHM_OPEN=1 -DHAVE_SHM_UNLINK=1 -DMINIZ_DISABLE_ZIP_READER_CRC32_CHECKS -DONNXIFI_ENABLE_EXT=1 -DONNX_ML=1 -DONNX_NAMESPACE=onnx_torch -DUSE_EXTERNAL_MZCRC -D_FILE_OFFSET_BITS=64 -I/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/cmake/../third_party/cudnn_frontend/include -I/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/onnx -I/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/build/third_party/onnx -I/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/foxi -I/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/build/third_party/foxi -I/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/kineto/libkineto/include -I/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/kineto/libkineto/src -I/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/fmt/include -I/roctracer/include -I/include -isystem /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/build/third_party/gloo -isystem /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/cmake/../third_party/gloo -isystem /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/gemmlowp -isystem /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/neon2sse -isystem /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/XNNPACK/include -isystem /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/cmake/../third_party/eigen -std=c++17 -fmessage-length=0 -march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-strong -fno-plt -O2 -ffunction-sections -pipe -isystem /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/include -fdebug-prefix-map=/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work=/usr/local/src/conda/pytorch-1.12.0 -fdebug-prefix-map=/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh=/usr/local/src/conda-prefix -isystem /usr/local/cuda/include -Wno-deprecated-declarations -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -O3 -DNDEBUG -DNDEBUG -fPIC -fvisibility=hidden -DCAFFE2_USE_GLOO -DTH_HAVE_THREAD -DKINETO_NAMESPACE=libkineto -DFMT_HEADER_ONLY -std=c++14 -DHAS_CUPTI -std=c++14 -MD -MT third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/EventProfiler.cpp.o -MF third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/EventProfiler.cpp.o.d -o third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/EventProfiler.cpp.o -c /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/kineto/libkineto/src/EventProfiler.cpp
  [20/1119] /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/_build_env/bin/x86_64-conda-linux-gnu-c++ -DHAVE_MALLOC_USABLE_SIZE=1 -DHAVE_MMAP=1 -DHAVE_SHM_OPEN=1 -DHAVE_SHM_UNLINK=1 -DMINIZ_DISABLE_ZIP_READER_CRC32_CHECKS -DONNXIFI_ENABLE_EXT=1 -DONNX_ML=1 -DONNX_NAMESPACE=onnx_torch -DUSE_EXTERNAL_MZCRC -D_FILE_OFFSET_BITS=64 -I/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/cmake/../third_party/cudnn_frontend/include -I/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/onnx -I/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/build/third_party/onnx -I/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/foxi -I/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/build/third_party/foxi -I/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/kineto/libkineto/include -I/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/kineto/libkineto/src -I/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/fmt/include -I/roctracer/include -I/include -isystem /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/build/third_party/gloo -isystem /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/cmake/../third_party/gloo -isystem /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/gemmlowp -isystem /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/neon2sse -isystem /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/XNNPACK/include -isystem /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/cmake/../third_party/eigen -std=c++17 -fmessage-length=0 -march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-strong -fno-plt -O2 -ffunction-sections -pipe -isystem /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/include -fdebug-prefix-map=/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work=/usr/local/src/conda/pytorch-1.12.0 -fdebug-prefix-map=/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh=/usr/local/src/conda-prefix -isystem /usr/local/cuda/include -Wno-deprecated-declarations -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -O3 -DNDEBUG -DNDEBUG -fPIC -fvisibility=hidden -DCAFFE2_USE_GLOO -DTH_HAVE_THREAD -DKINETO_NAMESPACE=libkineto -DFMT_HEADER_ONLY -std=c++14 -DHAS_CUPTI -std=c++14 -MD -MT third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/AbstractConfig.cpp.o -MF third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/AbstractConfig.cpp.o.d -o third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/AbstractConfig.cpp.o -c /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/kineto/libkineto/src/AbstractConfig.cpp
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  /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/third_party/kineto/libkineto/src/Logger.cpp:28:32: warning: unknown option after '#pragma GCC diagnostic' kind; did you mean '-felide-constructors'? [-Wpragmas]
     28 | #pragma GCC diagnostic ignored "-Wglobal-constructors"
        |                                ^~~~~~~~~~~~~~~~~~~~~~~
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  In file included from /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/torch/csrc/jit/codegen/onednn/graph_fuser.h:3,
                   from /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/torch/csrc/jit/codegen/onednn/graph_fuser.cpp:1:
  /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1655214436853/work/torch/csrc/jit/codegen/onednn/graph_helper.h:3:10: fatal error: oneapi/dnnl/dnnl_graph.hpp: No such file or directory
      3 | #include <oneapi/dnnl/dnnl_graph.hpp>
        |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
  compilation terminated.
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  ninja: build stopped: subcommand failed.
  error: subprocess-exited-with-error

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ngam commented Jun 14, 2022

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I'm not sure what we are pulling. Generally this recipe is hard to build. So for many reasons we don't break it up.

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ngam commented Jun 14, 2022

I have no idea, it seems the issue is that these oneapi/dnnl/dnnl_graph.hpp get copied under ideep/...

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ngam commented Jun 14, 2022

I will try to see what it would take for us to simply use the onednn feedstock instead of cloning the other.

@ngam ngam closed this Jun 15, 2022
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ngam commented Jun 15, 2022

(will reopen another PR later)

@ngam ngam reopened this Jun 23, 2022
ngam and others added 2 commits June 22, 2022 21:58
@ngam ngam closed this Jun 25, 2022
@ngam ngam reopened this Jun 29, 2022
@ngam ngam changed the title try mps matrix with release/1.12 branch try release/1.12 branch Jun 29, 2022
@ngam ngam changed the title try release/1.12 branch try v1.12 Jun 29, 2022
@@ -1,4 +1,7 @@
azure:
settings_osx:
pool:
vmImage: macos-12
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@isuruf, is this safe? The advantage of setting macos-12 here is to get the highest sdks and that enables MPS by default. However, I could see this being problematic breaking builds for macos < 12. What do you think?

There should be an alternative way where we can force it to build for MPS, but the logic upstream is pretty inconvenient: https://github.com/pytorch/pytorch/blob/b370959da11fe1c5fe9a6a6335a9b10ab6ad0a39/CMakeLists.txt#L90-L124. We can potentially just patch this and force it to build, but that may be risky.

That's why I initially opted to separate them. Keep the status quo for our regular build and add a highly constrained MPS build with the "MPS"/"Metal" tag

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Also note, we don't have SDKs >= 12 in conda-forge. I submitted (and closed) a PR for that initially before deciding it was easier to just split them. Here's the PR: conda-forge/conda-forge-ci-setup-feedstock#201

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ngam commented Jul 5, 2022

these issues persist, closing

@ngam ngam closed this Jul 5, 2022
@ngam ngam mentioned this pull request Jul 16, 2022
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