Faster-RCNN_TF
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error
Hi,
I am sure that the cuda path is added to bashrc. If i want to check "nvcc --version", it can show me the correct information: Cuda compilation tools, release 8.0, V8.0.61. I am so confused by that and want to know how to solve it.
Thanks, Peter
python setup.py build_ext --inplace running build_ext skipping 'utils/bbox.c' Cython extension (up-to-date) skipping 'utils/nms.c' Cython extension (up-to-date) skipping 'nms/cpu_nms.c' Cython extension (up-to-date) skipping 'nms/gpu_nms.cpp' Cython extension (up-to-date) rm -rf build bash make.sh make.sh: line 13: nvcc: command not found g++: error: roi_pooling_op.cu.o: No such file or directory
same question, any help?
@gbc8181 did you solve this problem ,can you tell me how to fix it?
i have the same question...,anyone help?
python setup.py build_ext --inplace running build_ext skipping 'utils/bbox.c' Cython extension (up-to-date) skipping 'utils/nms.c' Cython extension (up-to-date) skipping 'nms/cpu_nms.c' Cython extension (up-to-date) rm -rf build bash make.sh
@gbc8181 @yangzhibo0212
I think error is cuda or gpu
test:
import tensorflow as tf
tf.test.is_gpu_available()
import tensorflow as tf tf.test.is_gpu_available() 2020-06-23 00:56:44.769450: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2020-06-23 00:56:44.900075: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:897] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-06-23 00:56:44.900329: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 0 with properties: name: GeForce RTX 2060 major: 7 minor: 5 memoryClockRate(GHz): 1.2 pciBusID: 0000:01:00.0 totalMemory: 5.79GiB freeMemory: 5.07GiB 2020-06-23 00:56:44.900343: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1484] Adding visible gpu devices: 0 2020-06-23 00:56:45.766508: I tensorflow/core/common_runtime/gpu/gpu_device.cc:965] Device interconnect StreamExecutor with strength 1 edge matrix: 2020-06-23 00:56:45.766542: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0 2020-06-23 00:56:45.766548: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 0: N 2020-06-23 00:56:45.766642: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created TensorFlow device (/device:GPU:0 with 4802 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2060, pci bus id: 0000:01:00.0, compute capability: 7.5) True
your test is or not successful? My english is poor