vadimsightx commented on issue #6258: URL: https://github.com/apache/incubator-tvm/issues/6258#issuecomment-673290080
> Hi @vadimsightx. Can you provide a bit more context on how you built TVM, in terms of CMake flags, etc? # 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 set(USE_OPENCL ON) # 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 to enable SGX runtime # # Possible values for USE_SGX: # - /path/to/sgxsdk: path to Intel SGX SDK # - OFF: disable SGX # # SGX_MODE := HW|SIM set(USE_SGX OFF) set(SGX_MODE "SIM") set(RUST_SGX_SDK "/path/to/rust-sgx-sdk") # Whether enable RPC runtime set(USE_RPC ON) # Whether embed stackvm into the runtime set(USE_STACKVM_RUNTIME OFF) # Whether enable tiny embedded graph runtime. set(USE_GRAPH_RUNTIME ON) # Whether enable additional graph debug functions set(USE_GRAPH_RUNTIME_DEBUG OFF) # Whether enable additional vm profiler functions set(USE_VM_PROFILER OFF) # 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 # - /path/to/llvm-config: enable specific LLVM when multiple llvm-dev is available. set(USE_LLVM ON) #--------------------------------------------- # Contrib libraries #--------------------------------------------- # Whether use BLAS, choices: openblas, mkl, atlas, apple set(USE_BLAS none) # /path/to/mkl: mkl root path when use mkl blas library # set(USE_MKL_PATH /opt/intel/mkl) for UNIX # set(USE_MKL_PATH ../IntelSWTools/compilers_and_libraries_2018/windows/mkl) for WIN32 # set(USE_MKL_PATH <path to venv or site-packages directory>) if using `pip install mkl` set(USE_MKL_PATH none) # 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 OFF) # 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 /home/user/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/lib/) # /path/to/tensorflow: tensorflow root path when use tflite library set(USE_TENSORFLOW_PATH /home/user/tensorflow/) # 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 /home/user/flatbuffers/) # Possible values: # - OFF: disable tflite support for edgetpu # - /path/to/edgetpu: use specific path to edgetpu library set(USE_EDGETPU OFF) # Whether use CuDNN 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) # 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 to compile the standalone C runtime. set(USE_STANDALONE_CRT ON) ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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