D:\Anaconda\envs\uuuunet\python.exe F:/shangke/UNet/UNet.py
Using TensorFlow backend.
2025-11-06 20:07:58.414783: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll
2025-11-06 20:07:59.905524: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2025-11-06 20:07:59.908291: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll
2025-11-06 20:07:59.934409: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: NVIDIA GeForce RTX 2080 Ti major: 7 minor: 5 memoryClockRate(GHz): 1.545
pciBusID: 0000:01:00.0
2025-11-06 20:07:59.934644: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll
2025-11-06 20:07:59.937315: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_100.dll
2025-11-06 20:07:59.939831: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_100.dll
2025-11-06 20:07:59.940858: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_100.dll
2025-11-06 20:07:59.944721: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_100.dll
2025-11-06 20:07:59.947265: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_100.dll
2025-11-06 20:07:59.948591: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudnn64_7.dll'; dlerror: cudnn64_7.dll not found
2025-11-06 20:07:59.948883: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1641] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
2025-11-06 20:08:00.084896: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-11-06 20:08:00.085054: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0
2025-11-06 20:08:00.085148: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N
WARNING:tensorflow:From D:\Anaconda\envs\uuuunet\lib\site-packages\tensorflow_core\python\ops\resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
Instructions for updating:
If using Keras pass *_constraint arguments to layers.
WARNING:tensorflow:From D:\Anaconda\envs\uuuunet\lib\site-packages\keras\backend\tensorflow_backend.py:4070: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.
F:/shangke/UNet/UNet.py:166: UserWarning: Update your `Model` call to the Keras 2 API: `Model(inputs=Tensor("in..., outputs=Tensor("co...)`
model = Model(input= inputs,output = conv7)
Model: "model_1"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) (None, 128, 128, 1) 0
__________________________________________________________________________________________________
conv2d_1 (Conv2D) (None, 128, 128, 64) 640 input_1[0][0]
__________________________________________________________________________________________________
dropout_1 (Dropout) (None, 128, 128, 64) 0 conv2d_1[0][0]
__________________________________________________________________________________________________
conv2d_2 (Conv2D) (None, 128, 128, 64) 36928 dropout_1[0][0]
__________________________________________________________________________________________________
max_pooling2d_1 (MaxPooling2D) (None, 64, 64, 64) 0 conv2d_2[0][0]
__________________________________________________________________________________________________
conv2d_3 (Conv2D) (None, 64, 64, 128) 73856 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
dropout_2 (Dropout) (None, 64, 64, 128) 0 conv2d_3[0][0]
__________________________________________________________________________________________________
conv2d_4 (Conv2D) (None, 64, 64, 128) 147584 dropout_2[0][0]
__________________________________________________________________________________________________
max_pooling2d_2 (MaxPooling2D) (None, 32, 32, 128) 0 conv2d_4[0][0]
__________________________________________________________________________________________________
conv2d_5 (Conv2D) (None, 32, 32, 256) 295168 max_pooling2d_2[0][0]
__________________________________________________________________________________________________
dropout_3 (Dropout) (None, 32, 32, 256) 0 conv2d_5[0][0]
__________________________________________________________________________________________________
conv2d_6 (Conv2D) (None, 32, 32, 256) 590080 dropout_3[0][0]
__________________________________________________________________________________________________
max_pooling2d_3 (MaxPooling2D) (None, 16, 16, 256) 0 conv2d_6[0][0]
__________________________________________________________________________________________________
conv2d_7 (Conv2D) (None, 16, 16, 512) 1180160 max_pooling2d_3[0][0]
__________________________________________________________________________________________________
dropout_4 (Dropout) (None, 16, 16, 512) 0 conv2d_7[0][0]
__________________________________________________________________________________________________
conv2d_8 (Conv2D) (None, 16, 16, 512) 2359808 dropout_4[0][0]
__________________________________________________________________________________________________
max_pooling2d_4 (MaxPooling2D) (None, 8, 8, 512) 0 conv2d_8[0][0]
__________________________________________________________________________________________________
conv2d_9 (Conv2D) (None, 8, 8, 1024) 4719616 max_pooling2d_4[0][0]
__________________________________________________________________________________________________
dropout_5 (Dropout) (None, 8, 8, 1024) 0 conv2d_9[0][0]
__________________________________________________________________________________________________
conv2d_10 (Conv2D) (None, 8, 8, 1024) 9438208 dropout_5[0][0]
__________________________________________________________________________________________________
up_sampling2d_1 (UpSampling2D) (None, 16, 16, 1024) 0 conv2d_10[0][0]
__________________________________________________________________________________________________
concatenate_1 (Concatenate) (None, 16, 16, 1536) 0 conv2d_8[0][0]
up_sampling2d_1[0][0]
__________________________________________________________________________________________________
conv2d_11 (Conv2D) (None, 16, 16, 512) 7078400 concatenate_1[0][0]
__________________________________________________________________________________________________
dropout_6 (Dropout) (None, 16, 16, 512) 0 conv2d_11[0][0]
__________________________________________________________________________________________________
conv2d_12 (Conv2D) (None, 16, 16, 512) 2359808 dropout_6[0][0]
__________________________________________________________________________________________________
up_sampling2d_2 (UpSampling2D) (None, 32, 32, 512) 0 conv2d_12[0][0]
__________________________________________________________________________________________________
concatenate_2 (Concatenate) (None, 32, 32, 768) 0 conv2d_6[0][0]
up_sampling2d_2[0][0]
__________________________________________________________________________________________________
conv2d_13 (Conv2D) (None, 32, 32, 256) 1769728 concatenate_2[0][0]
__________________________________________________________________________________________________
dropout_7 (Dropout) (None, 32, 32, 256) 0 conv2d_13[0][0]
__________________________________________________________________________________________________
conv2d_14 (Conv2D) (None, 32, 32, 256) 590080 dropout_7[0][0]
__________________________________________________________________________________________________
up_sampling2d_3 (UpSampling2D) (None, 64, 64, 256) 0 conv2d_14[0][0]
__________________________________________________________________________________________________
concatenate_3 (Concatenate) (None, 64, 64, 384) 0 conv2d_4[0][0]
up_sampling2d_3[0][0]
__________________________________________________________________________________________________
conv2d_15 (Conv2D) (None, 64, 64, 128) 442496 concatenate_3[0][0]
__________________________________________________________________________________________________
dropout_8 (Dropout) (None, 64, 64, 128) 0 conv2d_15[0][0]
__________________________________________________________________________________________________
conv2d_16 (Conv2D) (None, 64, 64, 128) 147584 dropout_8[0][0]
__________________________________________________________________________________________________
up_sampling2d_4 (UpSampling2D) (None, 128, 128, 128 0 conv2d_16[0][0]
__________________________________________________________________________________________________
concatenate_4 (Concatenate) (None, 128, 128, 192 0 conv2d_2[0][0]
up_sampling2d_4[0][0]
__________________________________________________________________________________________________
conv2d_17 (Conv2D) (None, 128, 128, 64) 110656 concatenate_4[0][0]
__________________________________________________________________________________________________
dropout_9 (Dropout) (None, 128, 128, 64) 0 conv2d_17[0][0]
__________________________________________________________________________________________________
conv2d_18 (Conv2D) (None, 128, 128, 64) 36928 dropout_9[0][0]
__________________________________________________________________________________________________
conv2d_19 (Conv2D) (None, 128, 128, 8) 520 conv2d_18[0][0]
==================================================================================================
Total params: 31,378,248
Trainable params: 31,378,248
Non-trainable params: 0
__________________________________________________________________________________________________
WARNING:tensorflow:From D:\Anaconda\envs\uuuunet\lib\site-packages\tensorflow_core\python\ops\math_grad.py:1424: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING:tensorflow:From D:\Anaconda\envs\uuuunet\lib\site-packages\keras\backend\tensorflow_backend.py:422: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.
WARNING:tensorflow:From D:\Anaconda\envs\uuuunet\lib\site-packages\keras\callbacks\tensorboard_v1.py:200: The name tf.summary.merge_all is deprecated. Please use tf.compat.v1.summary.merge_all instead.
WARNING:tensorflow:From D:\Anaconda\envs\uuuunet\lib\site-packages\keras\callbacks\tensorboard_v1.py:203: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.
Found 130 images belonging to 1 classes.
Found 1040 images belonging to 1 classes.
Epoch 1/100
Found 130 images belonging to 1 classes.
Found 1040 images belonging to 1 classes.
1/65 [..............................] - ETA: 9:24 - loss: 4.0354 - acc: 0.1175
2/65 [..............................] - ETA: 8:47 - loss: 3.6455 - acc: 0.1188
3/65 [>.............................] - ETA: 8:33 - loss: 3.3622 - acc: 0.1159
4/65 [>.............................] - ETA: 8:25 - loss: 3.1451 - acc: 0.1185
使用gpu了吗
最新发布
本文介绍了解决TensorFlow with GPU在Windows 10环境下因找不到cudnn64_5.dll文件而引发的问题。主要分为两种情况：一是环境变量未正确设置；二是cudnn版本不匹配。提供了具体的解决步骤。
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