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hi,when i run python example.py ,it shows error like
2018-11-04 14:42:21.588402: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2018-11-04 14:42:21.660199: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:892] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-11-04 14:42:21.660461: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 0 with properties:
name: GeForce GTX 1070 major: 6 minor: 1 memoryClockRate(GHz): 1.759
pciBusID: 0000:01:00.0
totalMemory: 7.92GiB freeMemory: 7.34GiB
2018-11-04 14:42:21.660489: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1070, pci bus id: 0000:01:00.0, compute capability: 6.1)
2018-11-04 14:42:21.732112: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1070, pci bus id: 0000:01:00.0, compute capability: 6.1)
Traceback (most recent call last):
File "example.py", line 75, in
bootstrap_net = BootstrapNet(session, data_format)
File "../python/depthmotionnet/networks_original.py", line 45, in init
netFlow1_result = flow_block_demon_original(self.placeholder_image_pair, data_format=data_format )
File "../python/depthmotionnet/blocks_original.py", line 141, in flow_block_demon_original
conv1 = convrelu2_caffe_padding(name='conv1', inputs=image_pair, num_outputs=32, kernel_size=9, stride=2, **conv_params)
File "../python/depthmotionnet/helpers.py", line 145, in convrelu2_caffe_padding
**kwargs,
File "/home/richard/.local/lib/python3.5/site-packages/tensorflow/python/layers/convolutional.py", line 608, in conv2d
return layer.apply(inputs)
File "/home/richard/.local/lib/python3.5/site-packages/tensorflow/python/layers/base.py", line 671, in apply
return self.call(inputs, *args, **kwargs)
File "/home/richard/.local/lib/python3.5/site-packages/tensorflow/python/layers/base.py", line 575, in call
outputs = self.call(inputs, *args, **kwargs)
File "/home/richard/.local/lib/python3.5/site-packages/tensorflow/python/layers/convolutional.py", line 192, in call
return self.activation(outputs)
File "../python/depthmotionnet/helpers.py", line 67, in myLeakyRelu
return sops.leaky_relu(x, leak=0.1)
AttributeError: module 'lmbspecialops' has no attribute 'leaky_relu'
what can i do to solve this problem?
The text was updated successfully, but these errors were encountered:
hi,when i run python example.py ,it shows error like
2018-11-04 14:42:21.588402: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2018-11-04 14:42:21.660199: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:892] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-11-04 14:42:21.660461: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 0 with properties:
name: GeForce GTX 1070 major: 6 minor: 1 memoryClockRate(GHz): 1.759
pciBusID: 0000:01:00.0
totalMemory: 7.92GiB freeMemory: 7.34GiB
2018-11-04 14:42:21.660489: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1070, pci bus id: 0000:01:00.0, compute capability: 6.1)
2018-11-04 14:42:21.732112: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1070, pci bus id: 0000:01:00.0, compute capability: 6.1)
Traceback (most recent call last):
File "example.py", line 75, in
bootstrap_net = BootstrapNet(session, data_format)
File "../python/depthmotionnet/networks_original.py", line 45, in init
netFlow1_result = flow_block_demon_original(self.placeholder_image_pair, data_format=data_format )
File "../python/depthmotionnet/blocks_original.py", line 141, in flow_block_demon_original
conv1 = convrelu2_caffe_padding(name='conv1', inputs=image_pair, num_outputs=32, kernel_size=9, stride=2, **conv_params)
File "../python/depthmotionnet/helpers.py", line 145, in convrelu2_caffe_padding
**kwargs,
File "/home/richard/.local/lib/python3.5/site-packages/tensorflow/python/layers/convolutional.py", line 608, in conv2d
return layer.apply(inputs)
File "/home/richard/.local/lib/python3.5/site-packages/tensorflow/python/layers/base.py", line 671, in apply
return self.call(inputs, *args, **kwargs)
File "/home/richard/.local/lib/python3.5/site-packages/tensorflow/python/layers/base.py", line 575, in call
outputs = self.call(inputs, *args, **kwargs)
File "/home/richard/.local/lib/python3.5/site-packages/tensorflow/python/layers/convolutional.py", line 192, in call
return self.activation(outputs)
File "../python/depthmotionnet/helpers.py", line 67, in myLeakyRelu
return sops.leaky_relu(x, leak=0.1)
AttributeError: module 'lmbspecialops' has no attribute 'leaky_relu'
what can i do to solve this problem?
The text was updated successfully, but these errors were encountered: