trouble in installation

[rafikg]

I am working under ubuntu 18.04 using anaconda 3. I create a conda environment and I run correctly the test until the make ops command where I have a problem I set CMAKE_PREFIX_PATH=/xxx/yyy/anaconda3 **CMake Error at CMakeLists.txt:8 (find_package): By not providing "FindCaffe2.cmake" in CMAKE_MODULE_PATH this project has asked CMake to find a package configuration file provided by "Caffe2", but CMake did not find one.

Could not find a package configuration file provided by "Caffe2" with any of the following names:

Caffe2Config.cmake
caffe2-config.cmake

Add the installation prefix of "Caffe2" to CMAKE_PREFIX_PATH or set "Caffe2_DIR" to a directory containing one of the above files. If "Caffe2" provides a separate development package or SDK, be sure it has been installed.**

[Anikily]

hi@Gouiaa,l also encouter this problem,have you solved this trouble?

[rafikg]

@Anikily Yes.You have to set correctly the CMAKE_PREFIX_PATH. find the folder path that contains Caffe2Config.cmake (should be something like /share/cmake/caffe2/) and add this line at the beginning of the CMakeLists.txt file. set(CMAKE_PREFIX_PATH "path of the folder that contains Caffe2Config.cmake")

[Anikily]

Thanks Gouiaa,I have solved this problem by set(Caffe2_DIR "/path/to/pytorch/torch/share/cmake/Caffe2/") and i think it is the right way to do. but i have some trouble new: mkdir -p build && cd build && cmake .. && make -j12 -- Caffe2: CUDA detected: 7.5 -- Caffe2: CUDA nvcc is: /usr/bin/nvcc -- Caffe2: CUDA toolkit directory: /usr -- Caffe2: Header version is: 7.5 -- Found cuDNN: v7.0.5 (include: /home/tensor/cuda/include, library: /home/tensor/cuda/lib64/libcudnn.so) -- Autodetected CUDA architecture(s): 6.1 -- Added CUDA NVCC flags for: -gencode;arch=compute_61,code=sm_61 -- Summary: -- CMake version : 3.5.1 -- CMake command : /usr/bin/cmake -- System name : Linux -- C++ compiler : /usr/bin/c++ -- C++ compiler version : 5.4.0 -- CXX flags : -std=c++11 -O2 -fPIC -Wno-narrowing -- Caffe2 version : 1.0.0 -- Caffe2 include path : /home/tensor/pytorch/torch/lib/include -- Caffe2 found CUDA : True -- CUDA version : 7.5 -- CuDNN version : 7.0.5 -- Configuring done -- Generating done -- Build files have been written to: /home/tensor/densepose/build make[1]: Entering directory '/home/tensor/densepose/build' make[2]: Entering directory '/home/tensor/densepose/build' make[3]: Entering directory '/home/tensor/densepose/build' make[3]: Entering directory '/home/tensor/densepose/build' [ 25%] Building NVCC (Device) object CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/detectron/ops/caffe2_detectron_custom_ops_gpu_generated_zero_even_op.cu.o [ 25%] Building NVCC (Device) object CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/detectron/ops/caffe2_detectron_custom_ops_gpu_generated_pool_points_interp.cu.o make[3]: Leaving directory '/home/tensor/densepose/build' make[3]: Entering directory '/home/tensor/densepose/build' [ 50%] Building CXX object CMakeFiles/caffe2_detectron_custom_ops.dir/detectron/ops/zero_even_op.cc.o [ 50%] Building CXX object CMakeFiles/caffe2_detectron_custom_ops.dir/detectron/ops/pool_points_interp.cc.o In file included from /home/tensor/densepose/detectron/ops/pool_points_interp.cc:10:0: /home/tensor/densepose/detectron/ops/pool_points_interp.h:13:33: fatal error: caffe2/core/context.h: No such file or directory In file included from /home/tensor/densepose/detectron/ops/zero_even_op.cc:9:0: /home/tensor/densepose/detectron/ops/zero_even_op.h:12:33: fatal error: caffe2/core/context.h: No such file or directory compilation terminated. compilation terminated. CMakeFiles/caffe2_detectron_custom_ops.dir/build.make:86: recipe for target 'CMakeFiles/caffe2_detectron_custom_ops.dir/detectron/ops/pool_points_interp.cc.o' failed make[3]: [CMakeFiles/caffe2_detectron_custom_ops.dir/detectron/ops/pool_points_interp.cc.o] Error 1 make[3]: Waiting for unfinished tasks.... CMakeFiles/caffe2_detectron_custom_ops.dir/build.make:62: recipe for target 'CMakeFiles/caffe2_detectron_custom_ops.dir/detectron/ops/zero_even_op.cc.o' failed make[3]: [CMakeFiles/caffe2_detectron_custom_ops.dir/detectron/ops/zero_even_op.cc.o] Error 1 make[3]: Leaving directory '/home/tensor/densepose/build' CMakeFiles/Makefile2:67: recipe for target 'CMakeFiles/caffe2_detectron_custom_ops.dir/all' failed make[2]: [CMakeFiles/caffe2_detectron_custom_ops.dir/all] Error 2 make[2]: *** Waiting for unfinished tasks.... nvcc fatal : Unsupported gpu architecture 'compute_61' nvcc fatal : Unsupported gpu architecture 'compute_61' CMake Error at caffe2_detectron_custom_ops_gpu_generated_pool_points_interp.cu.o.cmake:219 (message): Error generating /home/tensor/densepose/build/CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/detectron/ops/./caffe2_detectron_custom_ops_gpu_generated_pool_points_interp.cu.o

CMake Error at caffe2_detectron_custom_ops_gpu_generated_zero_even_op.cu.o.cmake:219 (message): Error generating /home/tensor/densepose/build/CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/detectron/ops/./caffe2_detectron_custom_ops_gpu_generated_zero_even_op.cu.o

CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/build.make:63: recipe for target 'CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/detectron/ops/caffe2_detectron_custom_ops_gpu_generated_zero_even_op.cu.o' failed make[3]: [CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/detectron/ops/caffe2_detectron_custom_ops_gpu_generated_zero_even_op.cu.o] Error 1 make[3]: Waiting for unfinished tasks.... CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/build.make:70: recipe for target 'CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/detectron/ops/caffe2_detectron_custom_ops_gpu_generated_pool_points_interp.cu.o' failed make[3]: [CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/detectron/ops/caffe2_detectron_custom_ops_gpu_generated_pool_points_interp.cu.o] Error 1 make[3]: Leaving directory '/home/tensor/densepose/build' CMakeFiles/Makefile2:104: recipe for target 'CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/all' failed make[2]: [CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/all] Error 2 make[2]: Leaving directory '/home/tensor/densepose/build' Makefile:127: recipe for target 'all' failed make[1]: [all] Error 2 make[1]: Leaving directory '/home/tensor/densepose/build' Makefile:13: recipe for target 'ops' failed make: [ops] Error 2

and about the problem: /home/tensor/densepose/detectron/ops/pool_points_interp.h:13:33: fatal error: caffe2/core/context.h: No such file or directory actually,i find the context.h in pytorch/caffe2/core/context.h,could this file not be found?

[gbhgit]

Hello, I am working under ubuntu 16.04 using your intalation manual. And i have trouble when i try to run:

(base) gabriel@gbh:~/densepose$ python2 detectron/tests/test_spatial_narrow_as_op.py No handlers could be found for logger "caffe2.python.net_drawer" net_drawer will not run correctly. Please install the correct dependencies. E0213 16:47:01.070631 13326 init_intrinsics_check.cc:43] CPU feature avx is present on your machine, but the Caffe2 binary is not compiled with it. It means you may not get the full speed of your CPU. E0213 16:47:01.070643 13326 init_intrinsics_check.cc:43] CPU feature avx2 is present on your machine, but the Caffe2 binary is not compiled with it. It means you may not get the full speed of your CPU. E0213 16:47:01.070647 13326 init_intrinsics_check.cc:43] CPU feature fma is present on your machine, but the Caffe2 binary is not compiled with it. It means you may not get the full speed of your CPU. Found Detectron ops lib: /home/gabriel/anaconda2/lib/libcaffe2_detectron_ops_gpu.so E.E

ERROR: test_large_forward (main.SpatialNarrowAsOpTest)

Traceback (most recent call last): File "detectron/tests/test_spatial_narrow_as_op.py", line 60, in test_large_forward self._run_test(A, B) File "detectron/tests/test_spatial_narrow_as_op.py", line 31, in _run_test workspace.RunOperatorOnce(op) File "/home/gabriel/anaconda2/lib/python2.7/site-packages/caffe2/python/workspace.py", line 167, in RunOperatorOnce return C.run_operator_once(StringifyProto(operator)) RuntimeError: [enforce fail at context_gpu.h:171] . Encountered CUDA error: no kernel image is available for execution on the device Error from operator: input: "A" input: "B" output: "C" name: "" type: "SpatialNarrowAs" device_option { device_type: 1 cuda_gpu_id: 0 }

====================================================================== ERROR: test_small_forward_and_gradient (main.SpatialNarrowAsOpTest)

Traceback (most recent call last): File "detectron/tests/test_spatial_narrow_as_op.py", line 51, in test_small_forward_and_gradient self._run_test(A, B, check_grad=True) File "detectron/tests/test_spatial_narrow_as_op.py", line 31, in _run_test workspace.RunOperatorOnce(op) File "/home/gabriel/anaconda2/lib/python2.7/site-packages/caffe2/python/workspace.py", line 167, in RunOperatorOnce return C.run_operator_once(StringifyProto(operator)) RuntimeError: [enforce fail at context_gpu.h:171] . Encountered CUDA error: no kernel image is available for execution on the device Error from operator: input: "A" input: "B" output: "C" name: "" type: "SpatialNarrowAs" device_option { device_type: 1 cuda_gpu_id: 0 }

---

Ran 3 tests in 0.363s

FAILED (errors=2)

How can i fix this ? Please Help