python tools/demo.py --images demo/ --config configs/mjsynth.yml --model save/
2022-03-07 13:51:11.325152: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-03-07 13:51:11.334636: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-03-07 13:51:11.335111: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-03-07 13:51:11.335757: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-03-07 13:51:11.336192: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-03-07 13:51:11.336660: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-03-07 13:51:11.337103: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-03-07 13:51:11.673181: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-03-07 13:51:11.673651: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-03-07 13:51:11.674058: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-03-07 13:51:11.674440: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 9596 MB memory: -> device: 0, name: NVIDIA GeForce RTX 3060, pci bus id: 0000:01:00.0, compute capability: 8.6
2022-03-07 13:51:17.374815: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)
2022-03-07 13:51:18.719922: I tensorflow/stream_executor/cuda/cuda_dnn.cc:369] Loaded cuDNN version 8100
2022-03-07 13:51:20.915022: I tensorflow/stream_executor/cuda/cuda_blas.cc:1760] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once.
Path: demo/2.jpg, y_pred: [b''], probability: [1.]
Path: demo/3.jpg, y_pred: [b'\xe9\x80\xa2\xe5\x9c\xba\xe7\xab\xbf\xe6\x9c\xa8'], probability: [0.9996128]
Path: demo/5.jpg, y_pred: [b'\xe5\x8f\xa4\xe4\xbb\x8a\xe5\xbf\x83\xe4\xba\xba\xe6\xb4\x81\xe6\x96\xb9\xe5\x8d\xab'], probability: [0.11679293]
Path: demo/1.jpg, y_pred: [b''], probability: [1.]
Path: demo/0.jpg, y_pred: [b'\xe8\x81\x94\xe4\xba\xa7\xe5\x93\x81'], probability: [0.99998957]
Path: demo/6.jpg, y_pred: [b'\xe7\x91\x9e\xe6\x99\xaf\xe8\x8b\x91\xe9\xa4\x90'], probability: [0.98446]
Path: demo/4.jpg, y_pred: [b'\xe5\xa4\xa9\xe7\xa7\x8b\xe6\x9c\x89\xe9\x9b\x81\xe7\xbe\xa4'], probability: [0.99987626]
python tools/demo.py --images demo/ --config configs/mjsynth.yml --model save/ 2022-03-07 13:51:11.325152: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2022-03-07 13:51:11.334636: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2022-03-07 13:51:11.335111: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2022-03-07 13:51:11.335757: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2022-03-07 13:51:11.336192: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2022-03-07 13:51:11.336660: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2022-03-07 13:51:11.337103: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2022-03-07 13:51:11.673181: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2022-03-07 13:51:11.673651: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2022-03-07 13:51:11.674058: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2022-03-07 13:51:11.674440: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 9596 MB memory: -> device: 0, name: NVIDIA GeForce RTX 3060, pci bus id: 0000:01:00.0, compute capability: 8.6 2022-03-07 13:51:17.374815: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2) 2022-03-07 13:51:18.719922: I tensorflow/stream_executor/cuda/cuda_dnn.cc:369] Loaded cuDNN version 8100 2022-03-07 13:51:20.915022: I tensorflow/stream_executor/cuda/cuda_blas.cc:1760] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once. Path: demo/2.jpg, y_pred: [b''], probability: [1.] Path: demo/3.jpg, y_pred: [b'\xe9\x80\xa2\xe5\x9c\xba\xe7\xab\xbf\xe6\x9c\xa8'], probability: [0.9996128] Path: demo/5.jpg, y_pred: [b'\xe5\x8f\xa4\xe4\xbb\x8a\xe5\xbf\x83\xe4\xba\xba\xe6\xb4\x81\xe6\x96\xb9\xe5\x8d\xab'], probability: [0.11679293] Path: demo/1.jpg, y_pred: [b''], probability: [1.] Path: demo/0.jpg, y_pred: [b'\xe8\x81\x94\xe4\xba\xa7\xe5\x93\x81'], probability: [0.99998957] Path: demo/6.jpg, y_pred: [b'\xe7\x91\x9e\xe6\x99\xaf\xe8\x8b\x91\xe9\xa4\x90'], probability: [0.98446] Path: demo/4.jpg, y_pred: [b'\xe5\xa4\xa9\xe7\xa7\x8b\xe6\x9c\x89\xe9\x9b\x81\xe7\xbe\xa4'], probability: [0.99987626]