xiebaiyuan commented on issue #7705: URL: https://github.com/apache/tvm/issues/7705#issuecomment-811618701
➜ build git:(fix_libbacktrace_macos) cat config.cmake # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. #-------------------------------------------------------------------- # Template custom cmake configuration for compiling # # This file is used to override the build options in build. # If you want to change the configuration, please use the following # steps. Assume you are on the root directory. First copy the this # file so that any local changes will be ignored by git # # $ mkdir build # $ cp cmake/config.cmake build # # Next modify the according entries, and then compile by # # $ cd build # $ cmake .. # # Then build in parallel with 8 threads # # $ make -j8 #-------------------------------------------------------------------- #--------------------------------------------- # Backend runtimes. #--------------------------------------------- # Whether enable CUDA during compile, # # Possible values: # - ON: enable CUDA with cmake's auto search # - OFF: disable CUDA # - /path/to/cuda: use specific path to cuda toolkit set(USE_CUDA OFF) # Whether enable ROCM runtime # # Possible values: # - ON: enable ROCM with cmake's auto search # - OFF: disable ROCM # - /path/to/rocm: use specific path to rocm set(USE_ROCM OFF) # Whether enable SDAccel runtime set(USE_SDACCEL OFF) # Whether enable Intel FPGA SDK for OpenCL (AOCL) runtime set(USE_AOCL OFF) # Whether enable OpenCL runtime # # Possible values: # - ON: enable OpenCL with cmake's auto search # - OFF: disable OpenCL # - /path/to/opencl-sdk: use specific path to opencl-sdk set(USE_OPENCL OFF) # Whether enable Metal runtime set(USE_METAL OFF) # Whether enable Vulkan runtime # # Possible values: # - ON: enable Vulkan with cmake's auto search # - OFF: disable vulkan # - /path/to/vulkan-sdk: use specific path to vulkan-sdk set(USE_VULKAN OFF) # Whether enable OpenGL runtime set(USE_OPENGL OFF) # Whether enable MicroTVM runtime set(USE_MICRO OFF) # Whether enable RPC runtime set(USE_RPC ON) # Whether to build the C++ RPC server binary set(USE_CPP_RPC OFF) # Whether embed stackvm into the runtime set(USE_STACKVM_RUNTIME OFF) # Whether enable tiny embedded graph runtime. set(USE_GRAPH_RUNTIME ON) # Whether enable tiny graph runtime with CUDA Graph set(USE_GRAPH_RUNTIME_CUDA_GRAPH OFF) # Whether to enable the profiler for the graph runtime and vm set(USE_PROFILER ON) # Whether enable uTVM standalone runtime set(USE_MICRO_STANDALONE_RUNTIME OFF) # Whether build with LLVM support # Requires LLVM version >= 4.0 # # Possible values: # - ON: enable llvm with cmake's find search # - OFF: disable llvm, note this will disable CPU codegen # which is needed for most cases # - /path/to/llvm-config: enable specific LLVM when multiple llvm-dev is available. set(USE_LLVM OFF) #--------------------------------------------- # Contrib libraries #--------------------------------------------- # Whether to build with BYODT software emulated posit custom datatype # # Possible values: # - ON: enable BYODT posit, requires setting UNIVERSAL_PATH # - OFF: disable BYODT posit # # set(UNIVERSAL_PATH /path/to/stillwater-universal) for ON set(USE_BYODT_POSIT OFF) # Whether use BLAS, choices: openblas, atlas, apple set(USE_BLAS none) # Whether to use MKL # Possible values: # - ON: Enable MKL # - /path/to/mkl: mkl root path # - OFF: Disable MKL # set(USE_MKL /opt/intel/mkl) for UNIX # set(USE_MKL ../IntelSWTools/compilers_and_libraries_2018/windows/mkl) for WIN32 # set(USE_MKL <path to venv or site-packages directory>) if using `pip install mkl` set(USE_MKL OFF) # Whether use MKLDNN library, choices: ON, OFF, path to mkldnn library set(USE_MKLDNN OFF) # Whether use OpenMP thread pool, choices: gnu, intel # Note: "gnu" uses gomp library, "intel" uses iomp5 library set(USE_OPENMP none) # Whether use contrib.random in runtime set(USE_RANDOM ON) # Whether use NNPack set(USE_NNPACK OFF) # Possible values: # - ON: enable tflite with cmake's find search # - OFF: disable tflite # - /path/to/libtensorflow-lite.a: use specific path to tensorflow lite library set(USE_TFLITE OFF) # /path/to/tensorflow: tensorflow root path when use tflite library set(USE_TENSORFLOW_PATH none) # Required for full builds with TFLite. Not needed for runtime with TFLite. # /path/to/flatbuffers: flatbuffers root path when using tflite library set(USE_FLATBUFFERS_PATH none) # Possible values: # - OFF: disable tflite support for edgetpu # - /path/to/edgetpu: use specific path to edgetpu library set(USE_EDGETPU OFF) # Possible values: # - ON: enable cuDNN with cmake's auto search in CUDA directory # - OFF: disable cuDNN # - /path/to/cudnn: use specific path to cuDNN path set(USE_CUDNN OFF) # Whether use cuBLAS set(USE_CUBLAS OFF) # Whether use MIOpen set(USE_MIOPEN OFF) # Whether use MPS set(USE_MPS OFF) # Whether use rocBlas set(USE_ROCBLAS OFF) # Whether use contrib sort set(USE_SORT ON) # Whether use MKL-DNN (DNNL) codegen set(USE_DNNL_CODEGEN OFF) # Whether to use Arm Compute Library (ACL) codegen # We provide 2 separate flags since we cannot build the ACL runtime on x86. # This is useful for cases where you want to cross-compile a relay graph # on x86 then run on AArch. # # An example of how to use this can be found here: docs/deploy/arm_compute_lib.rst. # # USE_ARM_COMPUTE_LIB - Support for compiling a relay graph offloading supported # operators to Arm Compute Library. OFF/ON # USE_ARM_COMPUTE_LIB_GRAPH_RUNTIME - Run Arm Compute Library annotated functions via the ACL # runtime. OFF/ON/"path/to/ACL" set(USE_ARM_COMPUTE_LIB OFF) set(USE_ARM_COMPUTE_LIB_GRAPH_RUNTIME OFF) # Whether to build with Arm Ethos-N support # Possible values: # - OFF: disable Arm Ethos-N support # - path/to/arm-ethos-N-stack: use a specific version of the # Ethos-N driver stack set(USE_ETHOSN OFF) # If USE_ETHOSN is enabled, use ETHOSN_HW (ON) if Ethos-N hardware is available on this machine # otherwise use ETHOSN_HW (OFF) to use the software test infrastructure set(USE_ETHOSN_HW OFF) # Whether to build with TensorRT codegen or runtime # Examples are available here: docs/deploy/tensorrt.rst. # # USE_TENSORRT_CODEGEN - Support for compiling a relay graph where supported operators are # offloaded to TensorRT. OFF/ON # USE_TENSORRT_RUNTIME - Support for running TensorRT compiled modules, requires presense of # TensorRT library. OFF/ON/"path/to/TensorRT" set(USE_TENSORRT_CODEGEN OFF) set(USE_TENSORRT_RUNTIME OFF) # Whether use VITIS-AI codegen set(USE_VITIS_AI OFF) # Build Verilator codegen and runtime set(USE_VERILATOR OFF) # Build ANTLR parser for Relay text format # Possible values: # - ON: enable ANTLR by searching default locations (cmake find_program for antlr4 and /usr/local for jar) # - OFF: disable ANTLR # - /path/to/antlr-*-complete.jar: path to specific ANTLR jar file set(USE_ANTLR OFF) # Whether use Relay debug mode set(USE_RELAY_DEBUG OFF) # Whether to build fast VTA simulator driver set(USE_VTA_FSIM OFF) # Whether to build cycle-accurate VTA simulator driver set(USE_VTA_TSIM OFF) # Whether to build VTA FPGA driver (device side only) set(USE_VTA_FPGA OFF) # Whether use Thrust set(USE_THRUST OFF) # Whether to build the TensorFlow TVMDSOOp module set(USE_TF_TVMDSOOP OFF) # Whether to use STL's std::unordered_map or TVM's POD compatible Map set(USE_FALLBACK_STL_MAP OFF) # Whether to use hexagon device set(USE_HEXAGON_DEVICE OFF) set(USE_HEXAGON_SDK /path/to/sdk) # Whether to use ONNX codegen set(USE_TARGET_ONNX OFF) # Whether enable BNNS runtime set(USE_BNNS OFF) # Whether to use libbacktrace # Libbacktrace provides line and column information on stack traces from errors. # It is only supported on linux and macOS. # Possible values: # - AUTO: auto set according to system information and feasibility # - ON: enable libbacktrace # - OFF: disable libbacktrace set(USE_LIBBACKTRACE ON) -- This is an automated message from the Apache Git Service. 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