Running on CPU

[Pratosha-29]

Hello,
I have installed tensorflow 1.0.1, CUDA-8.0 and CUDNN 6.0.
After building and compiling the folder this is the error I am facing.
How can I solve this?

techm@techm-XPS-8500:~/Faster-RCNN_TF/tools$ 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)

Kindly help
Thanks.

[recyclsy]

hi~i get the same problem,have you already solved it? is it tue to memory or stack too small ?