Detectron: Instalasi Docker gagal dengan: "tidak memiliki anggota bernama 'numel'"
Halo semuanya,
akhir-akhir ini saya punya masalah, menginstal detektor melalui buruh pelabuhan. Saya gagal sekarang dengan:
/usr/local/caffe2_build/include/caffe2/core/tensor.h:687:17: catatan: kandidat mengharapkan 1 argumen, 0 disediakan
/detectron/detectron/ops/zero_even_op.cc:33:27: error: 'class caffe2::Tensor<:cpucontext i="7">' tidak memiliki anggota bernama 'numel'
for (otomatis i = 0; i < Y->numel(); i += 2) {
Saya menemukan masalah terkait di sini:
https://github.com/facebookresearch/Detectron/issues/732
tetapi saya tidak dapat menggunakan perbaikannya karena pendeteksi menginstal langsung dari repositori. Bisakah Anda mengubah repositori?
Terima kasih sebelumnya,
Erik
erikradisch
Semua 13 komentar
Hai, Saya memiliki masalah yang sama dengan Dockerfile. Saya bertanya-tanya apakah itu bisa terkait dengan versi CUDA.
francois-wellenreiter
pada 3 Des 2018
Kompilasi sedang rusak sekarang. Mendapatkan ini:
Apakah tidak ada build otomatis yang didukung ini di mana pun di hub docker?
Sistem saya memiliki wadah lain menggunakan CUDA yang berfungsi dengan baik.
-- Looking for pthread.h
-- Looking for pthread.h - found
-- Looking for pthread_create
-- Looking for pthread_create - not found
-- Looking for pthread_create in pthreads
-- Looking for pthread_create in pthreads - not found
-- Looking for pthread_create in pthread
-- Looking for pthread_create in pthread - found
-- Found Threads: TRUE
-- CUDA detected: 9.0
-- Added CUDA NVCC flags for: sm_30 sm_35 sm_50 sm_52 sm_60 sm_61 sm_70
-- Found libcuda: /usr/local/cuda/lib64/stubs/libcuda.so
-- Found libnvrtc: /usr/local/cuda/lib64/libnvrtc.so
-- Found CUDNN: /usr/include
-- Found cuDNN: v7.0.5 (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so)
-- 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 : 0.8.1
-- Caffe2 include path : /usr/local/caffe2_build/include
-- Have CUDA : TRUE
-- CUDA version : 9.0
-- CuDNN version : 7.0.5
-- Configuring done
-- Generating done
-- Build files have been written to: /detectron/build
make[1]: Entering directory '/detectron/build'
make[2]: Entering directory '/detectron/build'
make[3]: Entering directory '/detectron/build'
make[3]: Entering directory '/detectron/build'
[ 20%] Building NVCC (Device) object CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/detectron/ops/caffe2_detectron_custom_ops_gpu_generated_zero_even_op.cu.o
Scanning dependencies of target caffe2_detectron_custom_ops
make[3]: Leaving directory '/detectron/build'
make[3]: Entering directory '/detectron/build'
[ 40%] Building CXX object CMakeFiles/caffe2_detectron_custom_ops.dir/detectron/ops/zero_even_op.cc.o
In file included from /usr/local/caffe2_build/include/caffe2/core/allocator.h:22:0,
from /usr/local/caffe2_build/include/caffe2/core/context.h:25,
from /detectron/detectron/ops/zero_even_op.h:20,
from /detectron/detectron/ops/zero_even_op.cc:17:
/detectron/detectron/ops/zero_even_op.cc: In member function 'bool caffe2::ZeroEvenOp<T, Context>::RunOnDevice() [with T = float; Context = caffe2::CPUContext]':
/detectron/detectron/ops/zero_even_op.cc:25:23: error: no matching function for call to 'caffe2::Tensor<caffe2::CPUContext>::dim() const'
CAFFE_ENFORCE(X.dim() == 1);
^
In file included from /usr/local/caffe2_build/include/caffe2/core/net.h:34:0,
from /usr/local/caffe2_build/include/caffe2/core/operator.h:29,
from /detectron/detectron/ops/zero_even_op.h:21,
from /detectron/detectron/ops/zero_even_op.cc:17:
/usr/local/caffe2_build/include/caffe2/core/tensor.h:687:17: note: candidate: caffe2::TIndex caffe2::Tensor<Context>::dim(int) const [with Context = caffe2::CPUContext; caffe2::TIndex = long int]
inline TIndex dim(const int i) const {
^
/usr/local/caffe2_build/include/caffe2/core/tensor.h:687:17: note: candidate expects 1 argument, 0 provided
/detectron/detectron/ops/zero_even_op.cc:33:27: error: 'class caffe2::Tensor<caffe2::CPUContext>' has no member named 'numel'
for (auto i = 0; i < Y->numel(); i += 2) {
^
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 '/detectron/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 jobs....
Scanning dependencies of target caffe2_detectron_custom_ops_gpu
make[3]: Leaving directory '/detectron/build'
make[3]: Entering directory '/detectron/build'
[ 60%] Building CXX object CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/detectron/ops/zero_even_op.cc.o
In file included from /usr/local/caffe2_build/include/caffe2/core/allocator.h:22:0,
from /usr/local/caffe2_build/include/caffe2/core/context.h:25,
from /detectron/detectron/ops/zero_even_op.h:20,
from /detectron/detectron/ops/zero_even_op.cc:17:
/detectron/detectron/ops/zero_even_op.cc: In member function 'bool caffe2::ZeroEvenOp<T, Context>::RunOnDevice() [with T = float; Context = caffe2::CPUContext]':
/detectron/detectron/ops/zero_even_op.cc:25:23: error: no matching function for call to 'caffe2::Tensor<caffe2::CPUContext>::dim() const'
CAFFE_ENFORCE(X.dim() == 1);
^
In file included from /usr/local/caffe2_build/include/caffe2/core/net.h:34:0,
from /usr/local/caffe2_build/include/caffe2/core/operator.h:29,
from /detectron/detectron/ops/zero_even_op.h:21,
from /detectron/detectron/ops/zero_even_op.cc:17:
/usr/local/caffe2_build/include/caffe2/core/tensor.h:687:17: note: candidate: caffe2::TIndex caffe2::Tensor<Context>::dim(int) const [with Context = caffe2::CPUContext; caffe2::TIndex = long int]
inline TIndex dim(const int i) const {
^
/usr/local/caffe2_build/include/caffe2/core/tensor.h:687:17: note: candidate expects 1 argument, 0 provided
/detectron/detectron/ops/zero_even_op.cc:33:27: error: 'class caffe2::Tensor<caffe2::CPUContext>' has no member named 'numel'
for (auto i = 0; i < Y->numel(); i += 2) {
^
CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/build.make:69: recipe for target 'CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/detectron/ops/zero_even_op.cc.o' failed
make[3]: *** [CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/detectron/ops/zero_even_op.cc.o] Error 1
make[3]: Leaving directory '/detectron/build'
CMakeFiles/Makefile2:104: recipe for target 'CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/all' failed
make[2]: Leaving directory '/detectron/build'
make[2]: *** [CMakeFiles/caffe2_detectron_custom_ops_gpu.dir/all] Error 2
Makefile:127: recipe for target 'all' failed
make[1]: Leaving directory '/detectron/build'
make[1]: *** [all] Error 2
Makefile:13: recipe for target 'ops' failed
make: *** [ops] Error 2
The command '/bin/sh -c make ops' returned a non-zero code: 2
guysoft
pada 4 Des 2018
Saya membuat ini berfungsi dengan checkout d56e267efc92b65b8d899f1b89a7ed2bca3e5f44 alih-alih master terbaru
TheNeikos
pada 7 Des 2018
@TheNeikos , saya juga membuatnya bekerja dengan d56e267efc92b65b8d899f1b89a7ed2bca3e5f44
francois-wellenreiter
pada 7 Des 2018
Saya membuat ini berfungsi dengan checkout d56e267 alih-alih master terbaru
maksudmu di Dockerfile? misalnya
JALANKAN git clone https://github.com/facebookresearch/detectron /detectron
JALANKAN cd /detectron && git checkout d56e267
beatthat
pada 11 Des 2018
@beatthat ya persis
francois-wellenreiter
pada 11 Des 2018
Terima kasih @TheNeikos ! Zuckerberg harus memberi Anda setidaknya 10 ribu euro, karena tanpa komentar Anda, saya akan menyerah pada Detectron dan hanya menggunakan implementasi Matterport :D
manyaafonso
pada 20 Feb 2019
@manyaafonso
Maukah Anda berbagi lebih detail tentang bagaimana Anda memecahkan masalah ini?
Saya mengikuti saran @TheNeikos @beatthat @francois-wellenreiter
1.Jalankan git clone https://github.com/facebookresearch/detectron /detectron
- JALANKAN cd /detectron && git checkout d56e267
Dan kemudian saya mencoba - JALANKAN cd / buruh pelabuhan
- JALANKAN docker build -t detectron:c2-cuda9-cudnn7 .
Dan masih mendapat output kesalahan yang sama.
Saya pikir git checkout d56e267 membantu saya mengubah ke versi yang lebih lama. Dan di d56e267
"/detectron/ops/zero_even_op.cc" file ini memiliki
for (auto i = 0; i < Y->size(); i += 2) {
Tetapi ketika saya mencoba membangun, pesan kesalahan masih muncul
for (auto i = 0; i < Y->numel(); i += 2) {
^
Saya tidak yakin apakah ada sesuatu yang saya lupa lakukan.
randf102
pada 24 Feb 2019
Hai @randf102 ,
sebenarnya saya menerapkan modifikasi ini pada Dockerfile dan build berhasil:
```berbeda
diff --git a/docker/Dockerfile b/docker/Dockerfile
indeks 38cc0ea..c02a110 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -10,6 +10,9 @@ ENV LD_LIBRARY_PATH /usr/local/caffe2_build/lib:${LD_LIBRARY_PATH}
# Mengkloning repositori Detectron
JALANKAN git clone https://github.com/facebookresearch/detectron /detectron
+WORKDIR/detektor
+Jalankan git checkout d56e267efc92b65b8d899f1b89a7ed2bca3e5f44
+
# Instal dependensi Python
JALANKAN pip install -r /detectron/requirements.txt
```
francois-wellenreiter
pada 24 Feb 2019
Hai @ Randf102 , saya cukup memodifikasi dockerfile dengan mengubah bagian berikut sesuai komentar di atas:
Mengkloning repositori Detectron
JALANKAN git clone https://github.com/facebookresearch/detectron /detectron
Berdasarkan https://github.com/facebookresearch/Detectron/issues/756
JALANKAN cd /detectron && git checkout d56e267
Dan kemudian di prompt linux:
nvidia-docker build -t my_detectron_image .
manyaafonso
pada 25 Feb 2019
@francois-wellenreiter @manyaafonso
Terima kasih sudah membantu saya.
Saya harus memodifikasi Dockerfile, bukan menjalankan "git checkout d56e267" langsung di terminal.
Saya sudah memahaminya dan akhirnya berhasil membangunnya.
Terima kasih!
randf102
pada 25 Feb 2019
@TheNeikos , Terima kasih atas jawaban Anda
QiuSYang
pada 18 Mar 2019
Saya dapat mengkompilasi Dockerfile dengan komit terbaru (7aa91aa) yang pada dasarnya mengembalikan dua perubahan nama fungsi, dari komit c00e35a dan 8181a32. Selesai dengan menambahkan dua instruksi sed setelah "Instal COCO API lines":
# Install the COCO API
RUN git clone https://github.com/cocodataset/cocoapi.git /cocoapi
WORKDIR /cocoapi/PythonAPI
RUN make install
# Patch
RUN sed -i 's/numel/size/g' /detectron/detectron/ops/zero_even_op.cc && \
sed -i 's/X.dim/X.ndim/g' /detectron/detectron/ops/zero_even_op.cc
pabgonza
pada 9 Apr 2020
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Komentar yang paling membantu
maksudmu di Dockerfile? misalnya
JALANKAN git clone https://github.com/facebookresearch/detectron /detectron
JALANKAN cd /detectron && git checkout d56e267