The following errors in training MTCNN, bosses know how to solve? Very thank you!!!!!!
(tensorflow_gpu) E: \ TensorFlow \ MTCNN TensorFlow - master \ train_models & gt; Python train_PNet. Py
The 2020-03-19 08:22:03. 806618: I tensorflow/core/platform/cpu_feature_guard. Cc: 141] Your CPU supports instructions that this tensorflow binary was not compiled to use: AVX2
The 2020-03-19 08:22:05. 011111: I tensorflow/core/common_runtime/gpu/gpu_device cc: 1432] Found device 0 with the properties:
Name: GeForce GTX 960 m major: minor: 0 memoryClockRate (GHz) : 1.176
PciBusID: 0000:01:00. 0
TotalMemory: 2.00 GiB freeMemory: 1.65 GiB
The 2020-03-19 08:22:05. 018715: I tensorflow/core/common_runtime/gpu/gpu_device cc: 1511] Adding visible gpu devices: 0
The 2020-03-19 08:22:07. 352337: I tensorflow/core/common_runtime/gpu/gpu_device cc: 982] Device interconnect StreamExecutor with strength 1 edge matrix:
The 2020-03-19 08:22:07. 358422: I tensorflow/core/common_runtime/gpu/gpu_device cc: 988] 0
The 2020-03-19 08:22:07. 361958: I tensorflow/core/common_runtime/gpu/gpu_device cc: 1001] 0: N
The 2020-03-19 08:22:07. 367832: I tensorflow/core/common_runtime/gpu/gpu_device cc: 1115] Created tensorflow device (/task/job: localhost/up: 0:0/device: the gpu: 0 with 1399 MB memory) - & gt; Physical GPU (device: 0, name: GeForce GTX 960 m, pci bus id: 0000:01:00. 0, compute capability: 5.0)
E:/TensorFlow MTCNN - TensorFlow - master/prepare_data/DATA/imglists/PNet \ train_PNet_landmark TXT
The Total size of the dataset is: 1429535
E:/TensorFlow/MTCNN - TensorFlow - master/data/MTCNN_model/PNet_landmark/PNet
The dataset dir is: E:/TensorFlow MTCNN - TensorFlow - master/prepare_data/DATA/imglists/PNet \ train_PNet_landmark tfrecord_shuffle
WARNING: tensorflow: the From E:/tensorflow MTCNN - tensorflow - master/prepare_data \ read_tfrecord_v2 py: 12: string_input_producer (From tensorflow. Python. Training. The input) is deprecated and will be removed in a future version.
Instructions for updating:
The Queue - -based input pipelines have had been replaced by ` tf. The data `. Use ` tf. The data. The Dataset. From_tensor_slices (string_tensor). Shuffle (tf) shape (input_tensor, out_type=tf. Int64) [0]). Repeat (num_epochs) `. If ` shuffle=False `, omit the `. Shuffle (... ) `.
WARNING: tensorflow: the From E: \ Users \ Lenovo \ Anaconda3 \ envs \ tensorflow_gpu \ lib \ site - packages \ tensorflow \ python \ training \ input py: 276: input_producer (From tensorflow. Python. Training. The input) is deprecated and will be removed in a future version.
Instructions for updating:
The Queue - -based input pipelines have had been replaced by ` tf. The data `. Use ` tf. The data. The Dataset. From_tensor_slices (input_tensor). Shuffle (tf) shape (input_tensor, out_type=tf. Int64) [0]). Repeat (num_epochs) `. If ` shuffle=False `, omit the `. Shuffle (... ) `.
WARNING: tensorflow: the From E: \ Users \ Lenovo \ Anaconda3 \ envs \ tensorflow_gpu \ lib \ site - packages \ tensorflow \ python \ training \ input py: 188: limit_epochs (From tensorflow. Python. Training. The input) is deprecated and will be removed in a future version.
Instructions for updating:
Instructions for updating:
To construct the input pipelines, use the ` tf. The data ` module.
WARNING: tensorflow: the From E:/tensorflow MTCNN - tensorflow - master/prepare_data \ read_tfrecord_v2 py: 14: TFRecordReader. __init__ (From tensorflow. Python. Ops. Io_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Queue - -based input pipelines have had been replaced by ` tf. The data `. Use ` tf. The data. The TFRecordDataset `.
WARNING: tensorflow: the From E:/tensorflow MTCNN - tensorflow - master/prepare_data \ read_tfrecord_v2 py: 43: batch (From tensorflow. Python. Training. The input) is deprecated and will be removed in a future version.
Instructions for updating:
Queue - -based input pipelines have had been replaced by ` tf. The data `. Use ` tf. The data. The Dataset. The batch (batch_size) ` (or ` padded_batch (... ) ` if ` dynamic_pad=True `).
(384, 12, 12, 3)
The load summary for: conv1/add
(384, 10, 10, 10)
The load summary for: pool1/MaxPool
(384, 5, 5, 10)
The load summary for: conv2/add
(384, 3, 3, 16)
The load summary for: conv3/add
(384, 1, 1, 32)
The load summary for: conv4_1/Softmax
(384, 1, 1, 2)
The load summary for: conv4_2/BiasAdd
(384, 1, 1, 4)
The load summary for: conv4_3/BiasAdd
(384, 1, 1, 10)
WARNING: tensorflow: the From E: \ tensorflow \ MTCNN tensorflow - master \ train_models \ mtcnn_model py: 239: get_regularization_losses (From tensorflow. Contrib. Losses. Python. Losses. Loss_ops) is deprecated and will be removed after the 2016-12-30.
Instructions for updating:
Use tf. Losses. Get_regularization_losses home.
The 2020-03-19 08:22:09. 749695: I tensorflow/core/common_runtime/gpu/gpu_device cc: 1511] Adding visible gpu devices: 0
The 2020-03-19 08:22:09. 753009: I tensorflow/core/common_runtime/gpu/gpu_device cc: 982] Device interconnect StreamExecutor with strength 1 edge matrix:
The 2020-03-19 08:22:09. 756651: I tensorflow/core/common_runtime/gpu/gpu_device cc: 988] 0
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