8000 /usr/local/cuda/include/cuda.h(22705): error: identifier "cuuint32_t" is undefined · Issue #598 · NVIDIA/caffe · GitHub
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davemadams opened this issue May 3, 2024 · 0 comments
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/usr/local/cuda/include/cuda.h(22705): error: identifier "cuuint32_t" is undefined #598

davemadams opened this issue May 3, 2024 · 0 comments

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@davemadams
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I tried it now several ways and I always obtain the same error. Help is much appreciated.
That's my makefile.config:

Refer to http://caffe.berkeleyvision.org/installation.html

Contributions simplifying and improving our build system are welcome!

cuDNN acceleration switch (uncomment to build with cuDNN).

cuDNN version 6 or higher is required.

USE_CUDNN := 1

NCCL acceleration switch (uncomment to build with NCCL)

See https://github.com/NVIDIA/nccl

USE_NCCL := 1

Builds tests with 16 bit float support in addition to 32 and 64 bit.

TEST_FP16 := 1

uncomment to disable IO dependencies and corresponding data layers

USE_OPENCV := 0

USE_LEVELDB := 0

USE_LMDB := 0

Uncomment and set accordingly if you're using OpenCV 3/4

OPENCV_VERSION := 3

To customize your choice of compiler, uncomment and set the following.

N.B. the default for Linux is g++ and the default for OSX is clang++

CUSTOM_CXX := g++

CUDA directory contains bin/ and lib/ directories that we need.

CUDA_DIR := /usr/local/cuda

On Ubuntu 14.04, if cuda tools are installed via

"sudo apt-get install nvidia-cuda-toolkit" then use this instead:

CUDA_DIR := /usr

CUDA architecture setting: going with all of them.

CUDA_ARCH := -gencode arch=compute_61,code=sm_61

BLAS choice:

atlas for ATLAS

mkl for MKL

open for OpenBlas - default, see https://github.com/xianyi/OpenBLAS

BLAS := open

Custom (MKL/ATLAS/OpenBLAS) include and lib directories.

BLAS_INCLUDE := /opt/OpenBLAS/include/
BLAS_LIB := /opt/OpenBLAS/lib/

Homebrew puts openblas in a directory that is not on the standard search path

BLAS_INCLUDE := $(shell brew --prefix openblas)/include

BLAS_LIB := $(shell brew --prefix openblas)/lib

This is required only if you will compile the matlab interface.

MATLAB directory should contain the mex binary in /bin.

MATLAB_DIR := /usr/local

MATLAB_DIR := /Applications/MATLAB_R2012b.app

NOTE: this is required only if you will compile the python interface.

We need to be able to find Python.h and numpy/arrayobject.h.

#PYTHON_INCLUDE := /usr/include/python2.7 \

/usr/lib/python2.7/dist-packages/numpy/core/include

Anaconda Python distribution is quite popular. Include path:

Verify anaconda location, sometimes it's in root.

ANACONDA_HOME := $(HOME)/anaconda

PYTHON_INCLUDE := $(ANACONDA_HOME)/include \

            # $(ANACONDA_HOME)/include/python2.7 \
            # $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include \

Uncomment to use Python 3 (default is Python 2)

PYTHON_LIBRARIES := boost_python3 python3.6m
PYTHON_INCLUDE := /home/david/anaconda3/envs/caffe_env/include/python3.x /home/david/anaconda3/envs/caffe_env/lib/python3.x/site-packages/numpy/core/include

We need to be able to find libpythonX.X.so or .dylib.

PYTHON_LIB := /home/david/anaconda3/envs/caffe_env/lib

PYTHON_LIB := $(ANACONDA_HOME)/lib

Homebrew installs numpy in a non standard path (keg only)

PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.file)'))/include

PYTHON_LIB += $(shell brew --prefix numpy)/lib

Uncomment to support layers written in Python (will link against Python libs)

WITH_PYTHON_LAYER := 1

Whatever else you find you need goes here.

INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial /usr/include/opencv4
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu/hdf5/serial /usr/lib/x86_64-linux-gnu

If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies

INCLUDE_DIRS += $(shell brew --prefix)/include

LIBRARY_DIRS += $(shell brew --prefix)/lib

Uncomment to use pkg-config to specify OpenCV library paths.

(Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)

USE_PKG_CONFIG := 1

BUILD_DIR := build
DISTRIBUTE_DIR := distribute

Uncomment for debugging. Does not work on OSX due to BVLC#171

DEBUG := 1

The ID of the GPU that 'make runtest' will use to run unit tests.

TEST_GPUID := 0

enable pretty build (comment to see full commands)

Q ?= @

shared object suffix name to differentiate branches

LIBRARY_NAME_SUFFIX := -nv

And thats the Error:

/usr/local/cuda/include/cuda.h(22705): error: identifier "cuuint32_t" is undefined
CUresult cuTensorMapEncodeIm2col(CUtensorMap *tensorMap, CUtensorMapDataType tensorDataType, cuuint32_t tensorRank, void *globalAddress, const cuuint64_t *globalDim, const cuuint64_t *globalStrides, const int *pixelBoxLowerCorner, const int *pixelBoxUpperCorner, cuuint32_t channelsPerPixel, cuuint32_t pixelsPerColumn, const cuuint32_t *elementStrides, CUtensorMapInterleave interleave, CUtensorMapSwizzle swizzle, CUtensorMapL2promotion l2Promotion, CUtensorMapFloatOOBfill oobFill);
^

Error limit reached.
100 errors detected in the compilation of "src/caffe/util/bbox_util.cu".
Compilation terminated.
make: *** [Makefile:639: .build_release/cuda/src/caffe/util/bbox_util.o] Error 1
(caffe_env) david@david-B85M-HD3-R4:~/caffe-0.17.4$
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