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File tvm.spec of Package tvm
# # spec file for package tvm # # Copyright (c) 2024 SUSE LLC # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed # upon. The license for this file, and modifications and additions to the # file, is the same license as for the pristine package itself (unless the # license for the pristine package is not an Open Source License, in which # case the license is the MIT License). An "Open Source License" is a # license that conforms to the Open Source Definition (Version 1.9) # published by the Open Source Initiative. # Please submit bugfixes or comments via https://bugs.opensuse.org/ # %define _lto_cflags %{nil} # System dmlc is too old - https://github.com/apache/tvm/issues/17459#issuecomment-2429144716 %bcond_with system_dmlc %define dmlc_version 3031e4a %{?!python_module:%define python_module() python3-%{**}} %define skip_python2 1 %ifarch aarch64 x86_64 ppc64le %bcond_without onednn %else %bcond_with onednn %endif # Disable pytest until python3-xgboost is available %bcond_with pytest %ifarch aarch64 %bcond_without arm_compute_lib %else %bcond_with arm_compute_lib %endif # regular cmake builddir conflicts with the python singlespec %global __builddir build_cmake Name: tvm Version: 0.17.0 Release: 0 Summary: An end-to-end Deep Learning Compiler Stack License: Apache-2.0 URL: https://tvm.apache.org/ Source: https://github.com/apache/tvm/archive/refs/tags/v%{version}.tar.gz#/tvm-%{version}.tar.gz # License2: MIT Source2: https://github.com/dmlc/dmlc-core/archive/%{dmlc_version}.tar.gz#/dmlc-core.tar.gz # PATCH-FIX-OPENSUSE lib-finder-python-cmake.patch -- custom cmake path Patch1: lib-finder-python-cmake.patch # PATCH-FIX-OPENSUSE tvm-fix-openblas.patch -- We use openblas headers instead of netlib cblas Patch2: tvm-fix-openblas.patch # PATCH-FIX-OPENSUSE tvm-disable-vulkan-test-check.patch -- Cannot test in OBS despite enabled in library Patch3: tvm-disable-vulkan-test-check.patch # PATCH-FIX-UPSTREAM CYTHON-Make-cython-compatible-with-3.0-15469.patch BuildRequires: %{python_module Cython} BuildRequires: %{python_module attrs} BuildRequires: %{python_module cloudpickle} BuildRequires: %{python_module decorator} BuildRequires: %{python_module numpy} BuildRequires: %{python_module psutil} BuildRequires: %{python_module pytest} BuildRequires: %{python_module scipy} BuildRequires: %{python_module setuptools} BuildRequires: %{python_module synr} BuildRequires: %{python_module tornado} %if %{with pytest} BuildRequires: %{python_module typing_extensions} %endif %if %{with arm_compute_lib} BuildRequires: ComputeLibrary-devel %endif BuildRequires: antlr4-java BuildRequires: cmake BuildRequires: dlpack-devel >= 0.7 %if %{with system_dmlc} BuildRequires: dmlc-core-devel %endif BuildRequires: fdupes BuildRequires: gcc-c++ BuildRequires: git BuildRequires: gmock BuildRequires: gtest %if 0%{?suse_version} > 1550 || ( 0%{?is_opensuse} && 0%{?sle_version} > 150400 ) # Cannot build with llvm15, so stick with llvm14 for now BuildRequires: llvm14-devel %else BuildRequires: llvm-devel %endif BuildRequires: memory-constraints BuildRequires: openblas-devel BuildRequires: opencl-headers BuildRequires: pkgconfig BuildRequires: rang-devel BuildRequires: spirv-headers BuildRequires: spirv-tools BuildRequires: spirv-tools-devel BuildRequires: vulkan-devel BuildRequires: pkgconfig(OpenCL) BuildRequires: pkgconfig(gl) BuildRequires: pkgconfig(glfw3) Requires: python-attrs Requires: python-cloudpickle Requires: python-decorator Requires: python-numpy Requires: python-psutil Requires: python-synr %if %{with onednn} BuildRequires: onednn-devel %endif # Tests are failing on 32-bit ExcludeArch: %{arm} %{ix86} %python_subpackages %description TVM is a deep learning compiler stack for CPUs, GPUs, and specialized accelerators. %package -n tvmc Summary: TVM command line driver Requires: libtvm = %{version} Requires: python3-scipy Requires: python3-setuptools Requires: python3-tvm = %{version} Recommends: python3-Pillow Recommends: python3-onnx %description -n tvmc TVMC is a tool that exposes TVM features such as auto-tuning, compiling, profiling and execution of models, via a command line interface. %package -n %{name}-devel Summary: Headers for the TVM Deep Learning Compiler Stack Requires: libtvm = %{version} %description -n %{name}-devel TVM is a deep learning compiler stack for CPUs, GPUs, and specialized accelerators. This package contains the headers. %package -n libtvm Summary: Libraries generated for TVM # renamed up to libtvm here Provides: tvm = %{version}-%{release} Obsoletes: tvm < %{version}-%{release} %description -n libtvm Libraries generated for TVM without any provided soname. %prep %setup -q %autopatch -p1 pushd 3rdparty %if %{without system_dmlc} tar xf %{SOURCE2} && rmdir dmlc-core && mv dmlc-core-* dmlc-core %endif popd # Workaround - https://discuss.tvm.ai/t/build-fails-on-tvm-0-6-0-0-6-1-with-gcc10-and-gcc7/7462/5?u=ggardet ln -s %{_includedir}/endian.h include/endian.h # Workaround for tests/cpp/relay/ir/indexed_graph_test.cc:20:10: fatal error: ../../../src/relay/ir/indexed_graph.h: No such file or directory pushd tests/ ln -s ../src popd # Workaround for tests/cpp/target_test.cc:29:10: fatal error: ../../../src/target/llvm/llvm_instance.h: No such file or directory pushd ../ ln -s tvm-%{version}/src popd %build %limit_build -m 800 # USE_CUDA - we would need cuda # USE_METAL # USE_MICRO USE_MICRO_STANDALONE_RUNTIME # USE_NNPACK # USE_ROCBLAS USE_ROCM %cmake \ %if %{with arm_compute_lib} -DUSE_ARM_COMPUTE_LIB_GRAPH_RUNTIME=ON \ -DUSE_ARM_COMPUTE_LIB=ON \ %endif %if %{with system_dmlc} -DDMLC_PATH="%{_includedir}/dmlc" \ %else -DDMLC_PATH="$(pwd)/../3rdparty/dmlc-core/include" \ %endif -DDLPACK_PATH="%{_includedir}/dlpack" \ -DRANG_PATH="%{_includedir}/rang" \ -DUSE_GRAPH_RUNTIME=ON \ -DUSE_LLVM=ON \ -DUSE_BLAS="openblas" \ %if %{with onednn} -DUSE_MKLDNN=ON \ %else -DUSE_MKLDNN=OFF \ %endif -DUSE_OPENCL=ON \ -DUSE_OPENGL=ON \ -DUSE_OPENMP=ON \ -DUSE_RANDOM=ON \ -DUSE_RPC=ON \ -DUSE_RTTI=ON \ -DUSE_SORT=ON \ -DUSE_THREADS=ON \ -DUSE_VULKAN=ON \ -DUSE_LIBBACKTRACE=OFF \ -DUSE_ANTLR="/usr/share/java/antlr4/antlr4-runtime.jar" \ -DINSTALL_DEV=ON %cmake_build cd .. export TVM_LIBRARY_PATH="$(pwd)/%{__builddir}" pushd python # Fix rpm runtime dependency rpmlint error replace the shebang in all the scripts with %%{_bindir}/python3 find . -name "*.py" -exec sed -i 's|#!%{_bindir}/env python|#!%{_bindir}/python3|' {} ";" %python_build popd %install %cmake_install # remove endian hack rm -f %{buildroot}%{_includedir}/endian.h export TVM_LIBRARY_PATH="$(pwd)/%{__builddir}" pushd python %python_install %python_expand chmod 0755 %{buildroot}%{$python_sitearch}/tvm/driver/tvmc/main.py %{buildroot}%{$python_sitearch}/tvm/contrib/torch/pytorch_tvm.py popd # Remove /usr/tvm/*.so rm -rf %{buildroot}%{_prefix}/tvm # Remove src,include,3rdparty dirs %python_expand rm -rf %{buildroot}/%{$python_sitearch}/tvm/{src,include,3rdparty}/ %if %{without system_dmlc} rm -rf %{buildroot}%{_includedir}/dmlc %endif # Remove .cpp file %python_expand rm %{buildroot}/%{$python_sitearch}/tvm/_ffi/_cython/core.cpp # tvmc shebang should be default python, not highest available version sed -i -r 's|#!/usr/bin/python3(.*)|#!/usr/bin/python3|' %{buildroot}%{_bindir}/tvmc %python_expand %fdupes %{buildroot}%{$python_sitearch} %check pushd %{__builddir} %cmake_build cpptest popd export LD_LIBRARY_PATH=%{buildroot}%{_libdir}:$(pwd) # to avoid CI thread throttling. export TVM_BIND_THREADS=0 export OMP_NUM_THREADS=1 %{python_expand # export PYTHONPATH=%{buildroot}%{$python_sitearch} export PYTHONDONTWRITEBYTECODE=1 # TextureCopy: no openCL in environment ctestflags="-E (TextureCopy|TvmVMMemoryManagerTest)" %ctest $ctestflags } %if %{with pytest} mkdir python_gen cp python/gen_requirements.py python_gen/ export PYTHONPATH=$(pwd)/python_gen export TVM_INCLUDE_PATH=%{buildroot}%{_prefix} export TVM_TEST_TARGETS="llvm" export TVM_FFI="cython" # No python module for XGBoost donttest="test_xgb_model" donttest="$donttest or test_sketch_search_policy_xgbmodel" donttest="$donttest or test_sketch_search_policy_custom_sketch" donttest="$donttest or test_task_tuner_without_measurement" donttest="$donttest or test_autotvm_xgboost_mode" donttest="$donttest or test_meta_schedule_xgb_model" donttest="$donttest or test_meta_schedule_xgb_model_reload" donttest="$donttest or test_meta_schedule_xgb_model_reupdate" donttest="$donttest or test_tune_matmul" # No OpenCL device donttest="$donttest or test_simplex_data_transferring" donttest="$donttest or test_duplex_data_transferring" # no minrpc in installed path (test looks in src) donttest="$donttest or test_rpc_echo" donttest="$donttest or test_rpc_remote_module" %ifnarch x86_64 # test_fp16_to_fp32 fails on non-x86 as it uses skylake as llvm target donttest="$donttest or test_fp16_to_fp32" %endif %ifarch ppc64le donttest="$donttest or test_popcount or test_vmlal_s16 or test_llvm_add_pipeline" %endif %ifarch ppc64 donttest="$donttest or test_check_correctness or test_graph_simple or test_llvm_add_pipeline or test_popcount or test_rpc_array or test_rpc_file_exchange or test_rpc_remote_module or test_rpc_return_func or test_rpc_return_ndarray or test_rpc_simple or test_rpc_tracker_register or test_rpc_tracker_request or test_vmlal_s16" %endif # probes vulkan on test collection ignorefiles="--ignore tests/python/unittest/test_target_codegen_vulkan.py" ignorefiles="$ignorefiles --ignore tests/python/unittest/test_tir_intrin.py" ignorefiles="$ignorefiles --ignore tests/python/unittest/test_tvm_testing_features.py" # No python module for XGBoost ignorefiles="$ignorefiles --ignore tests/python/unittest/test_meta_schedule_cost_model.py" %if 0%{?suse_version} <= 1500 # Skip some tests on Leap/SLE (some tests would need python 3.7+) donttest="$donttest or test_meta_schedule_local_runner_time_out or test_meta_schedule_local_runner_exception" %endif %pytest_arch -v tests/python/unittest -m "not gpu" -k "not ($donttest)" $ignorefiles %endif %post -n libtvm -p /sbin/ldconfig %postun -n libtvm -p /sbin/ldconfig %files -n tvmc %{_bindir}/tvmc %files -n libtvm %license LICENSE %doc README.md %{_libdir}/libtvm*.so %files -n %{name}-devel %{_includedir}/tvm %dir %{_libdir}/cmake/tvm/ %{_libdir}/cmake/tvm/*.cmake %files %{python_files} %{python_sitearch}/tvm %dir %{python_sitearch}/tvm*.egg-info/ %{python_sitearch}/tvm*.egg-info/* %changelog
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