Hello,
I have installed CUDA - 8.0 , CUDNN-5.0 using JetPack 3.1 on my Ubuntu 16.04 x86_64 PC.
I am trying to run a tensorflow object detection algorithm on this environment.
When I run the below command on the terminal
$lspci | grep VGA we get this:
01:00.0 VGA compatible controller: NVIDIA Corporation GK107 [GeForce GT 640 OEM] (rev a1)
When I run the algorithm given in this link :
I am facing this error:
python demo.py --model /home/techm/Faster-RCNN_TF/VGGnet_fast_rcnn_iter_70000.ckpt
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn’t compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn’t compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn’t compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn’t compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
Tensor(“Placeholder:0”, shape=(?, ?, ?, 3), dtype=float32)
Tensor(“conv5_3/conv5_3:0”, shape=(?, ?, ?, 512), dtype=float32)
Tensor(“rpn_conv/3x3/rpn_conv/3x3:0”, shape=(?, ?, ?, 512), dtype=float32)
Tensor(“rpn_cls_score/rpn_cls_score:0”, shape=(?, ?, ?, 18), dtype=float32)
Tensor(“rpn_cls_prob:0”, shape=(?, ?, ?, ?), dtype=float32)
Tensor(“rpn_cls_prob_reshape:0”, shape=(?, ?, ?, 18), dtype=float32)
Tensor(“rpn_bbox_pred/rpn_bbox_pred:0”, shape=(?, ?, ?, 36), dtype=float32)
Tensor(“Placeholder_1:0”, shape=(?, 3), dtype=float32)
Tensor(“conv5_3/conv5_3:0”, shape=(?, ?, ?, 512), dtype=float32)
Tensor(“rois:0”, shape=(?, 5), dtype=float32)
[<tf.Tensor ‘conv5_3/conv5_3:0’ shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor ‘rois:0’ shape=(?, 5) dtype=float32>]
Tensor(“fc7/fc7:0”, shape=(?, 4096), dtype=float32)
Loaded network /home/techm/Faster-RCNN_TF/VGGnet_fast_rcnn_iter_70000.ckpt
CUDA driver version is insufficient for CUDA runtime version
CUDA driver version is insufficient for CUDA runtime version
CUDA driver version is insufficient for CUDA runtime version
CUDA driver version is insufficient for CUDA runtime version
CUDA driver version is insufficient for CUDA runtime version
CUDA driver version is insufficient for CUDA runtime version
CUDA driver version is insufficient for CUDA runtime version
CUDA driver version is insufficient for CUDA runtime version
Segmentation fault (core dumped)
Should I install a CUDA version compatible with the driver GK107 [GeForce GT 640 OEM]?
How can I solve this?
Kindly help.
Thanks,
Pratosha