ahmadmobeen / gentun Goto Github PK

Using TensorFlow backend.
Initializing a random population. Size: 5
Starting Crow Search Algorithm...

Running iteration #1...
 [*] Got fitness for individual 0
 [*] Got fitness for individual 1
 [*] Got fitness for individual 2
 [*] Got fitness for individual 3
 [*] Got fitness for individual 4
WARNING:tensorflow:From /home/vip/anaconda3/envs/keras/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:74: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.

WARNING:tensorflow:From /home/vip/anaconda3/envs/keras/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

WARNING:tensorflow:From /home/vip/anaconda3/envs/keras/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.

WARNING:tensorflow:From /home/vip/anaconda3/envs/keras/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:3976: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.

WARNING:tensorflow:From /home/vip/anaconda3/envs/keras/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:133: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.

WARNING:tensorflow:From /home/vip/anaconda3/envs/keras/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
WARNING:tensorflow:From /home/vip/anaconda3/envs/keras/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.

WARNING:tensorflow:From /home/vip/anaconda3/envs/keras/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:181: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

WARNING:tensorflow:From /home/vip/anaconda3/envs/keras/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:186: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

2020-03-25 14:41:30.125881: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2020-03-25 14:41:30.152834: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 4200000000 Hz
2020-03-25 14:41:30.153486: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x556056b3f360 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-03-25 14:41:30.153497: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2020-03-25 14:41:30.154139: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2020-03-25 14:41:30.331727: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-03-25 14:41:30.332184: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: 
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.6575
pciBusID: 0000:01:00.0
2020-03-25 14:41:30.332242: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-03-25 14:41:30.332716: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 1 with properties: 
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.6575
pciBusID: 0000:02:00.0
2020-03-25 14:41:30.332852: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2020-03-25 14:41:30.333469: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0
2020-03-25 14:41:30.334061: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0
2020-03-25 14:41:30.334232: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0
2020-03-25 14:41:30.334938: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0
2020-03-25 14:41:30.335510: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0
2020-03-25 14:41:30.337311: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-03-25 14:41:30.337408: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-03-25 14:41:30.338985: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-03-25 14:41:30.339427: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-03-25 14:41:30.339882: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-03-25 14:41:30.340297: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0, 1
2020-03-25 14:41:30.340339: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2020-03-25 14:41:30.345009: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-03-25 14:41:30.345021: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 1 
2020-03-25 14:41:30.345025: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N Y 
2020-03-25 14:41:30.345028: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 1:   Y N 
2020-03-25 14:41:30.345116: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-03-25 14:41:30.345583: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-03-25 14:41:30.346018: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-03-25 14:41:30.346478: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-03-25 14:41:30.346896: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10192 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1)
2020-03-25 14:41:30.347216: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-03-25 14:41:30.347704: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-03-25 14:41:30.348163: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 10479 MB memory) -> physical GPU (device: 1, name: GeForce GTX 1080 Ti, pci bus id: 0000:02:00.0, compute capability: 6.1)
2020-03-25 14:41:30.349467: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x556057a008a0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2020-03-25 14:41:30.349478: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): GeForce GTX 1080 Ti, Compute Capability 6.1
2020-03-25 14:41:30.349482: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (1): GeForce GTX 1080 Ti, Compute Capability 6.1
WARNING:tensorflow:From /home/vip/anaconda3/envs/keras/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

WARNING:tensorflow:From /home/vip/anaconda3/envs/keras/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.

WARNING:tensorflow:From /home/vip/anaconda3/envs/keras/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.

Traceback (most recent call last):
  File "/home/vip/work/gentun/tests/mnist_server.py", line 52, in <module>
    csa.run(20)
  File "/home/vip/work/gentun/gentun/algorithms.py", line 124, in run
    self.release_flock()
  File "/home/vip/work/gentun/gentun/algorithms.py", line 131, in release_flock
    fittest = self.flock.get_fittest()
  File "/home/vip/work/gentun/gentun/server.py", line 157, in get_fittest
    return super(DistributedFlock, self).get_fittest()
  File "/home/vip/work/gentun/gentun/populations.py", line 120, in get_fittest
    return max(self.individuals, key=operator.methodcaller('get_fitness'))
  File "/home/vip/work/gentun/gentun/individuals.py", line 403, in get_fitness
    self.evaluate_fitness()
  File "/home/vip/work/gentun/gentun/individuals.py", line 379, in evaluate_fitness
    self.fitness = model.cross_validate()
  File "/home/vip/work/gentun/gentun/models/keras_models.py", line 143, in cross_validate
    for fold, (train, validation) in enumerate(kfold.split(self.x_train, np.where(self.y_train == 1)[1])):
IndexError: tuple index out of range
Training using multiple GPUs..

Process finished with exit code 1