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[jalal@goku src]$ python sarcasm_detection_model_CNN_LSTM_DNN_word2vec.py
Using TensorFlow backend.
2018-03-03 20:58:10.558623: 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.
2018-03-03 20:58:10.558655: 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.
2018-03-03 20:58:10.558664: 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.
2018-03-03 20:58:10.558671: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2018-03-03 20:58:10.558678: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
2018-03-03 20:58:10.860328: I tensorflow/core/common_runtime/gpu/gpu_device.cc:955] Found device 0 with properties:
name: GeForce GTX 1080 Ti
major: 6 minor: 1 memoryClockRate (GHz) 1.6705
pciBusID 0000:05:00.0
Total memory: 10.92GiB
Free memory: 10.17GiB
2018-03-03 20:58:11.117002: W tensorflow/stream_executor/cuda/cuda_driver.cc:523] A non-primary context 0x55a328acfc60 exists before initializing the StreamExecutor. We haven't verified StreamExecutor works with that.
2018-03-03 20:58:11.117900: I tensorflow/core/common_runtime/gpu/gpu_device.cc:955] Found device 1 with properties:
name: GeForce GTX 1080 Ti
major: 6 minor: 1 memoryClockRate (GHz) 1.6705
pciBusID 0000:06:00.0
Total memory: 10.92GiB
Free memory: 10.76GiB
2018-03-03 20:58:11.118705: I tensorflow/core/common_runtime/gpu/gpu_device.cc:976] DMA: 0 1
2018-03-03 20:58:11.118723: I tensorflow/core/common_runtime/gpu/gpu_device.cc:986] 0: Y Y
2018-03-03 20:58:11.118730: I tensorflow/core/common_runtime/gpu/gpu_device.cc:986] 1: Y Y
2018-03-03 20:58:11.118744: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1045] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:05:00.0)
2018-03-03 20:58:11.118752: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1045] Creating TensorFlow device (/gpu:1) -> (device: 1, name: GeForce GTX 1080 Ti, pci bus id: 0000:06:00.0)
Loading resource...
initializing...
test_maxlen 30
Traceback (most recent call last):
File "sarcasm_detection_model_CNN_LSTM_DNN_word2vec.py", line 285, in <module>
t.load_trained_model()
File "sarcasm_detection_model_CNN_LSTM_DNN_word2vec.py", line 187, in load_trained_model
self.__load_model(self._model_file + 'model_wv.json', self._model_file + weight_file)
File "sarcasm_detection_model_CNN_LSTM_DNN_word2vec.py", line 192, in __load_model
self.model = model_from_json(open(model_path).read())
FileNotFoundError: [Errno 2] No such file or directory: 'SarcasmDetection/resource/text_model/weights/model_wv.json'
[jalal@goku src]$ ls ../resource/text_model
text_model/ text_model_2D/
[jalal@goku src]$ ls ../resource/text_model/
TestResults.txt.analysis vocab_list.txt weights
[jalal@goku src]$ ls ../resource/text_model/weights/
model.json weights.01__.hdf5 weights.03__.hdf5 weights.05__.hdf5 weights.07__.hdf5 weights.09__.hdf5
model.json.hdf5 weights.02__.hdf5 weights.04__.hdf5 weights.06__.hdf5 weights.08__.hdf5 weights.10__.hdf5
The text was updated successfully, but these errors were encountered:
Can you please upload this file as well?
The text was updated successfully, but these errors were encountered: