
all_epoch:91  stop_epoch: 48 loss: 0.93597  ssim: 0.9557  accuracy: 0.7154


/usr/bin/python3.6 /home/allen/Project/deep-learning/PlanDoseQA/train.py
2022-04-21 15:35:15.718396: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
Using TensorFlow backend.
2022-04-21 15:35:17.386162: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2022-04-21 15:35:17.386633: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2022-04-21 15:35:17.396208: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-04-21 15:35:17.396611: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2022-04-21 15:35:17.396631: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2022-04-21 15:35:17.398308: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2022-04-21 15:35:17.398363: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2022-04-21 15:35:17.399006: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2022-04-21 15:35:17.399161: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2022-04-21 15:35:17.400754: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2022-04-21 15:35:17.401112: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2022-04-21 15:35:17.401194: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2022-04-21 15:35:17.401264: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-04-21 15:35:17.401686: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-04-21 15:35:17.402045: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2022-04-21 15:35:17.402062: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2022-04-21 15:35:17.753958: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2022-04-21 15:35:17.753987: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0
2022-04-21 15:35:17.753993: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N
2022-04-21 15:35:17.754150: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-04-21 15:35:17.754616: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-04-21 15:35:17.754981: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-04-21 15:35:17.755314: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9888 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2080 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5)
2022-04-21 15:35:17.756147: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2022-04-21 15:35:17.756230: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-04-21 15:35:17.756601: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2022-04-21 15:35:17.756622: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2022-04-21 15:35:17.756649: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2022-04-21 15:35:17.756660: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2022-04-21 15:35:17.756670: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2022-04-21 15:35:17.756680: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2022-04-21 15:35:17.756690: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2022-04-21 15:35:17.756700: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2022-04-21 15:35:17.756710: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2022-04-21 15:35:17.756743: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-04-21 15:35:17.757081: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-04-21 15:35:17.757395: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2022-04-21 15:35:17.757447: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2022-04-21 15:35:17.757481: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/mixed_precision/loss_scale.py:56: DynamicLossScale.__init__ (from tensorflow.python.training.experimental.loss_scale) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.keras.mixed_precision.LossScaleOptimizer instead. LossScaleOptimizer now has all the functionality of DynamicLossScale
2022-04-21 15:35:17.758289: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2022-04-21 15:35:17.758335: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-04-21 15:35:17.758687: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2022-04-21 15:35:17.758697: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2022-04-21 15:35:17.758708: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2022-04-21 15:35:17.758716: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2022-04-21 15:35:17.758724: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2022-04-21 15:35:17.758732: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2022-04-21 15:35:17.758740: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2022-04-21 15:35:17.758748: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2022-04-21 15:35:17.758756: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2022-04-21 15:35:17.758784: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-04-21 15:35:17.759149: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-04-21 15:35:17.759492: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2022-04-21 15:35:17.759510: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2022-04-21 15:35:17.759513: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0
2022-04-21 15:35:17.759516: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N
2022-04-21 15:35:17.759560: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-04-21 15:35:17.759899: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-04-21 15:35:17.760238: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9888 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2080 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5)
WARNING:tensorflow:tf.keras.mixed_precision.experimental.LossScaleOptimizer is deprecated. Please use tf.keras.mixed_precision.LossScaleOptimizer instead. Note that the non-experimental LossScaleOptimizer does not take a DynamicLossScale but instead takes the dynamic configuration directly in the constructor. For example:
  opt = tf.keras.mixed_precision.experimental.LossScaleOptimizer(opt)

2022-04-21 15:35:18.121619: I tensorflow/core/profiler/lib/profiler_session.cc:136] Profiler session initializing.
2022-04-21 15:35:18.121643: I tensorflow/core/profiler/lib/profiler_session.cc:155] Profiler session started.
2022-04-21 15:35:18.121665: I tensorflow/core/profiler/internal/gpu/cupti_tracer.cc:1365] Profiler found 1 GPUs
2022-04-21 15:35:18.121811: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcupti.so.11.0'; dlerror: libcupti.so.11.0: cannot open shared object file: No such file or directory
2022-04-21 15:35:18.121858: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcupti.so'; dlerror: libcupti.so: cannot open shared object file: No such file or directory
2022-04-21 15:35:18.121867: E tensorflow/core/profiler/internal/gpu/cupti_tracer.cc:1415] function cupti_interface_->Subscribe( &subscriber_, (CUpti_CallbackFunc)ApiCallback, this)failed with error CUPTI could not be loaded or symbol could not be found.
2022-04-21 15:35:18.121879: I tensorflow/core/profiler/lib/profiler_session.cc:172] Profiler session tear down.
2022-04-21 15:35:18.121889: E tensorflow/core/profiler/internal/gpu/cupti_tracer.cc:1496] function cupti_interface_->Finalize()failed with error CUPTI could not be loaded or symbol could not be found.
2022-04-21 15:35:20.138989: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2022-04-21 15:35:20.156087: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 3800000000 Hz
Epoch 1/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
2022-04-21 15:35:28.070563: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2022-04-21 15:35:29.239222: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2022-04-21 15:35:29.521411: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2022-04-21 15:35:30.815429: I tensorflow/stream_executor/cuda/cuda_driver.cc:789] failed to allocate 1.66G (1780456960 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
968/969 [============================>.] - ETA: 0s - loss: 45.3712 - ssim: 0.4380 - accuracy: 0.5583WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 716s 727ms/step - loss: 45.3347 - ssim: 0.4380 - accuracy: 0.5581

Epoch 00001: loss improved from inf to 27.62940, saving model to ./model/model_v1.hdf5
Epoch 2/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 7.3745 - ssim: 0.5583 - accuracy: 0.4432WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 675s 693ms/step - loss: 7.3737 - ssim: 0.5584 - accuracy: 0.4433

Epoch 00002: loss improved from 27.62940 to 6.98554, saving model to ./model/model_v1.hdf5
Epoch 3/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 7.1358 - ssim: 0.7619 - accuracy: 0.6054WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 675s 693ms/step - loss: 7.1345 - ssim: 0.7619 - accuracy: 0.6054

Epoch 00003: loss improved from 6.98554 to 6.53845, saving model to ./model/model_v1.hdf5
Epoch 4/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 3.9926 - ssim: 0.8017 - accuracy: 0.6399WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 676s 694ms/step - loss: 3.9916 - ssim: 0.8017 - accuracy: 0.6399

Epoch 00004: loss improved from 6.53845 to 3.47910, saving model to ./model/model_v1.hdf5
Epoch 5/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 5.8892 - ssim: 0.8161 - accuracy: 0.6422WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 676s 694ms/step - loss: 5.8864 - ssim: 0.8161 - accuracy: 0.6422

Epoch 00005: loss did not improve from 3.47910
Epoch 6/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 4.2378 - ssim: 0.8664 - accuracy: 0.6749WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 674s 692ms/step - loss: 4.2391 - ssim: 0.8664 - accuracy: 0.6749

Epoch 00006: loss did not improve from 3.47910
Epoch 7/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 4.8117 - ssim: 0.8329 - accuracy: 0.6631WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 680s 697ms/step - loss: 4.8087 - ssim: 0.8330 - accuracy: 0.6631

Epoch 00007: loss improved from 3.47910 to 3.35239, saving model to ./model/model_v1.hdf5
Epoch 8/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 5.3316 - ssim: 0.8580 - accuracy: 0.6705WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 669s 686ms/step - loss: 5.3296 - ssim: 0.8581 - accuracy: 0.6705

Epoch 00008: loss did not improve from 3.35239
Epoch 9/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 5.2116 - ssim: 0.8667 - accuracy: 0.6828WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 668s 686ms/step - loss: 5.2083 - ssim: 0.8668 - accuracy: 0.6828

Epoch 00009: loss did not improve from 3.35239
Epoch 10/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 4.5233 - ssim: 0.8810 - accuracy: 0.6878WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 677s 695ms/step - loss: 4.5213 - ssim: 0.8810 - accuracy: 0.6878

Epoch 00010: loss did not improve from 3.35239
Epoch 11/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 3.7960 - ssim: 0.8955 - accuracy: 0.6908WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 670s 688ms/step - loss: 3.7951 - ssim: 0.8954 - accuracy: 0.6908

Epoch 00011: loss improved from 3.35239 to 3.31373, saving model to ./model/model_v1.hdf5
Epoch 12/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 3.0684 - ssim: 0.8733 - accuracy: 0.6769WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 677s 695ms/step - loss: 3.0684 - ssim: 0.8734 - accuracy: 0.6769

Epoch 00012: loss improved from 3.31373 to 3.06466, saving model to ./model/model_v1.hdf5
Epoch 13/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 3.3003 - ssim: 0.9074 - accuracy: 0.6933WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 674s 691ms/step - loss: 3.3007 - ssim: 0.9074 - accuracy: 0.6933

Epoch 00013: loss did not improve from 3.06466
Epoch 14/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.6058 - ssim: 0.9156 - accuracy: 0.6969WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 675s 692ms/step - loss: 2.6060 - ssim: 0.9156 - accuracy: 0.6969

Epoch 00014: loss improved from 3.06466 to 2.69608, saving model to ./model/model_v1.hdf5
Epoch 15/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.3320 - ssim: 0.9119 - accuracy: 0.6978WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 669s 687ms/step - loss: 2.3334 - ssim: 0.9119 - accuracy: 0.6978

Epoch 00015: loss did not improve from 2.69608
Epoch 16/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.3385 - ssim: 0.9289 - accuracy: 0.7042WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 669s 687ms/step - loss: 1.3397 - ssim: 0.9289 - accuracy: 0.7042

Epoch 00016: loss improved from 2.69608 to 1.91843, saving model to ./model/model_v1.hdf5
Epoch 17/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.6505 - ssim: 0.9172 - accuracy: 0.7010WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 712ms/step - loss: 2.6494 - ssim: 0.9172 - accuracy: 0.7011

Epoch 00017: loss did not improve from 1.91843
Epoch 18/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 3.5216 - ssim: 0.9021 - accuracy: 0.6986WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 712ms/step - loss: 3.5230 - ssim: 0.9020 - accuracy: 0.6986

Epoch 00018: loss did not improve from 1.91843
Epoch 19/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.4496 - ssim: 0.9114 - accuracy: 0.6984WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 712ms/step - loss: 2.4501 - ssim: 0.9114 - accuracy: 0.6984

Epoch 00019: loss did not improve from 1.91843
Epoch 20/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 3.9960 - ssim: 0.9144 - accuracy: 0.6969WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 692s 710ms/step - loss: 3.9952 - ssim: 0.9144 - accuracy: 0.6969

Epoch 00020: loss did not improve from 1.91843
Epoch 21/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.2673 - ssim: 0.9022 - accuracy: 0.6863WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 711ms/step - loss: 2.2695 - ssim: 0.9021 - accuracy: 0.6863

Epoch 00021: loss did not improve from 1.91843
Epoch 22/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.2370 - ssim: 0.9227 - accuracy: 0.7079WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 692s 710ms/step - loss: 2.2365 - ssim: 0.9227 - accuracy: 0.7079

Epoch 00022: loss did not improve from 1.91843
Epoch 23/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.9013 - ssim: 0.8684 - accuracy: 0.6659WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 692s 710ms/step - loss: 2.9021 - ssim: 0.8684 - accuracy: 0.6660

Epoch 00023: loss did not improve from 1.91843
Epoch 24/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.2996 - ssim: 0.9236 - accuracy: 0.6966WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 711ms/step - loss: 2.3000 - ssim: 0.9236 - accuracy: 0.6966

Epoch 00024: loss did not improve from 1.91843
Epoch 25/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.1237 - ssim: 0.9301 - accuracy: 0.6979WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 712ms/step - loss: 1.1244 - ssim: 0.9301 - accuracy: 0.6979

Epoch 00025: loss improved from 1.91843 to 1.47648, saving model to ./model/model_v1.hdf5
Epoch 26/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.8323 - ssim: 0.9190 - accuracy: 0.7015WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 712ms/step - loss: 2.8325 - ssim: 0.9190 - accuracy: 0.7014

Epoch 00026: loss did not improve from 1.47648
Epoch 27/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.5050 - ssim: 0.9163 - accuracy: 0.7009WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 692s 710ms/step - loss: 2.5043 - ssim: 0.9163 - accuracy: 0.7009

Epoch 00027: loss did not improve from 1.47648
Epoch 28/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.4106 - ssim: 0.9195 - accuracy: 0.7031WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 711ms/step - loss: 2.4115 - ssim: 0.9195 - accuracy: 0.7031

Epoch 00028: loss did not improve from 1.47648
Epoch 29/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 3.1536 - ssim: 0.9226 - accuracy: 0.7006WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 711ms/step - loss: 3.1547 - ssim: 0.9226 - accuracy: 0.7006

Epoch 00029: loss did not improve from 1.47648
Epoch 30/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.4235 - ssim: 0.9327 - accuracy: 0.7077WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 712ms/step - loss: 1.4239 - ssim: 0.9328 - accuracy: 0.7077

Epoch 00030: loss did not improve from 1.47648
Epoch 31/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.5383 - ssim: 0.9273 - accuracy: 0.7118WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 713ms/step - loss: 2.5383 - ssim: 0.9273 - accuracy: 0.7118

Epoch 00031: loss did not improve from 1.47648
Epoch 32/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 3.4821 - ssim: 0.9213 - accuracy: 0.7022WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 713ms/step - loss: 3.4790 - ssim: 0.9213 - accuracy: 0.7023

Epoch 00032: loss did not improve from 1.47648
Epoch 33/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.7651 - ssim: 0.9359 - accuracy: 0.7118WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 695s 713ms/step - loss: 1.7659 - ssim: 0.9359 - accuracy: 0.7118

Epoch 00033: loss did not improve from 1.47648
Epoch 34/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.9387 - ssim: 0.9370 - accuracy: 0.7148WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 695s 713ms/step - loss: 1.9389 - ssim: 0.9370 - accuracy: 0.7148

Epoch 00034: loss did not improve from 1.47648
Epoch 35/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.6775 - ssim: 0.9350 - accuracy: 0.7160WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 695s 713ms/step - loss: 1.6781 - ssim: 0.9350 - accuracy: 0.7160

Epoch 00035: loss did not improve from 1.47648
Epoch 36/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.8769 - ssim: 0.9324 - accuracy: 0.7184WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 695s 714ms/step - loss: 1.8768 - ssim: 0.9324 - accuracy: 0.7184

Epoch 00036: loss did not improve from 1.47648
Epoch 37/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.8425 - ssim: 0.9184 - accuracy: 0.7039WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 712ms/step - loss: 2.8421 - ssim: 0.9184 - accuracy: 0.7039

Epoch 00037: loss did not improve from 1.47648
Epoch 38/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.9660 - ssim: 0.9299 - accuracy: 0.7117WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 696s 714ms/step - loss: 1.9659 - ssim: 0.9299 - accuracy: 0.7117

Epoch 00038: loss did not improve from 1.47648
Epoch 39/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.8466 - ssim: 0.9373 - accuracy: 0.7088WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 713ms/step - loss: 1.8475 - ssim: 0.9373 - accuracy: 0.7088

Epoch 00039: loss did not improve from 1.47648
Epoch 40/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.9143 - ssim: 0.9406 - accuracy: 0.7064WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 713ms/step - loss: 1.9137 - ssim: 0.9407 - accuracy: 0.7064

Epoch 00040: loss did not improve from 1.47648
Epoch 41/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.0753 - ssim: 0.9305 - accuracy: 0.7021WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 712ms/step - loss: 2.0766 - ssim: 0.9305 - accuracy: 0.7021

Epoch 00041: loss did not improve from 1.47648
Epoch 42/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 4.4078 - ssim: 0.9100 - accuracy: 0.6909WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 712ms/step - loss: 4.4044 - ssim: 0.9100 - accuracy: 0.6909

Epoch 00042: loss did not improve from 1.47648
Epoch 43/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 0.9213 - ssim: 0.9582 - accuracy: 0.7171WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 713ms/step - loss: 0.9234 - ssim: 0.9582 - accuracy: 0.7171

Epoch 00043: loss did not improve from 1.47648
Epoch 44/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.1618 - ssim: 0.9175 - accuracy: 0.7026WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 713ms/step - loss: 2.1607 - ssim: 0.9175 - accuracy: 0.7026

Epoch 00044: loss did not improve from 1.47648
Epoch 45/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.1887 - ssim: 0.9502 - accuracy: 0.7122WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 713ms/step - loss: 2.1890 - ssim: 0.9502 - accuracy: 0.7122

Epoch 00045: loss did not improve from 1.47648
Epoch 46/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.4171 - ssim: 0.9396 - accuracy: 0.7123WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 695s 713ms/step - loss: 1.4167 - ssim: 0.9397 - accuracy: 0.7123

Epoch 00046: loss improved from 1.47648 to 1.23959, saving model to ./model/model_v1.hdf5
Epoch 47/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.5446 - ssim: 0.9470 - accuracy: 0.7136WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 695s 713ms/step - loss: 1.5457 - ssim: 0.9470 - accuracy: 0.7136

Epoch 00047: loss did not improve from 1.23959
Epoch 48/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.2992 - ssim: 0.9557 - accuracy: 0.7154WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 713ms/step - loss: 1.2985 - ssim: 0.9557 - accuracy: 0.7154

Epoch 00048: loss improved from 1.23959 to 0.93597, saving model to ./model/model_v1.hdf5
Epoch 49/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 0.7821 - ssim: 0.9630 - accuracy: 0.7225WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 713ms/step - loss: 0.7845 - ssim: 0.9630 - accuracy: 0.7225

Epoch 00049: loss did not improve from 0.93597
Epoch 50/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.6919 - ssim: 0.9279 - accuracy: 0.7020WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 695s 713ms/step - loss: 2.6902 - ssim: 0.9279 - accuracy: 0.7020

Epoch 00050: loss did not improve from 0.93597
Epoch 51/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.1264 - ssim: 0.9364 - accuracy: 0.7137WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 712ms/step - loss: 2.1259 - ssim: 0.9364 - accuracy: 0.7137

Epoch 00051: loss did not improve from 0.93597
Epoch 52/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.4932 - ssim: 0.9539 - accuracy: 0.7181WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 695s 713ms/step - loss: 1.4943 - ssim: 0.9539 - accuracy: 0.7181

Epoch 00052: loss did not improve from 0.93597
Epoch 53/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.4895 - ssim: 0.9367 - accuracy: 0.7180WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 695s 713ms/step - loss: 2.4888 - ssim: 0.9367 - accuracy: 0.7180

Epoch 00053: loss did not improve from 0.93597
Epoch 54/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.4174 - ssim: 0.9339 - accuracy: 0.7081WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 713ms/step - loss: 2.4158 - ssim: 0.9339 - accuracy: 0.7081

Epoch 00054: loss did not improve from 0.93597
Epoch 55/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.7719 - ssim: 0.9557 - accuracy: 0.7142WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 695s 713ms/step - loss: 1.7721 - ssim: 0.9557 - accuracy: 0.7142

Epoch 00055: loss did not improve from 0.93597
Epoch 56/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.0586 - ssim: 0.9422 - accuracy: 0.7080WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 713ms/step - loss: 2.0590 - ssim: 0.9422 - accuracy: 0.7080

Epoch 00056: loss did not improve from 0.93597
Epoch 57/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.2097 - ssim: 0.9507 - accuracy: 0.7154WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 712ms/step - loss: 1.2105 - ssim: 0.9507 - accuracy: 0.7154

Epoch 00057: loss did not improve from 0.93597
Epoch 58/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.7211 - ssim: 0.9270 - accuracy: 0.7037WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 695s 713ms/step - loss: 2.7222 - ssim: 0.9270 - accuracy: 0.7037

Epoch 00058: loss did not improve from 0.93597
Epoch 59/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.7798 - ssim: 0.9392 - accuracy: 0.7060WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 712ms/step - loss: 1.7799 - ssim: 0.9392 - accuracy: 0.7060

Epoch 00059: loss did not improve from 0.93597
Epoch 60/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 0.8591 - ssim: 0.9601 - accuracy: 0.7194WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 695s 713ms/step - loss: 0.8597 - ssim: 0.9601 - accuracy: 0.7194

Epoch 00060: loss did not improve from 0.93597
Epoch 61/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 0.7953 - ssim: 0.9518 - accuracy: 0.7169WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 712ms/step - loss: 0.7964 - ssim: 0.9518 - accuracy: 0.7169

Epoch 00061: loss did not improve from 0.93597
Epoch 62/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.9145 - ssim: 0.9436 - accuracy: 0.7090WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 712ms/step - loss: 1.9142 - ssim: 0.9436 - accuracy: 0.7090

Epoch 00062: loss did not improve from 0.93597
Epoch 63/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 0.6062 - ssim: 0.9490 - accuracy: 0.7187WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 712ms/step - loss: 0.6069 - ssim: 0.9491 - accuracy: 0.7187

Epoch 00063: loss did not improve from 0.93597
Epoch 64/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.7657 - ssim: 0.9451 - accuracy: 0.7140WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 712ms/step - loss: 2.7642 - ssim: 0.9451 - accuracy: 0.7140

Epoch 00064: loss did not improve from 0.93597
Epoch 65/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 3.5581 - ssim: 0.8997 - accuracy: 0.6956WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 692s 710ms/step - loss: 3.5565 - ssim: 0.8998 - accuracy: 0.6956

Epoch 00065: loss did not improve from 0.93597
Epoch 66/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.3620 - ssim: 0.9490 - accuracy: 0.7149WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 712ms/step - loss: 1.3613 - ssim: 0.9490 - accuracy: 0.7149

Epoch 00066: loss did not improve from 0.93597
Epoch 67/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.3169 - ssim: 0.9424 - accuracy: 0.7024WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 695s 713ms/step - loss: 2.3160 - ssim: 0.9424 - accuracy: 0.7025

Epoch 00067: loss did not improve from 0.93597
Epoch 68/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.8899 - ssim: 0.9466 - accuracy: 0.7109WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 712ms/step - loss: 1.8897 - ssim: 0.9466 - accuracy: 0.7109

Epoch 00068: loss did not improve from 0.93597
Epoch 69/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.1781 - ssim: 0.9437 - accuracy: 0.7113WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 694s 712ms/step - loss: 2.1770 - ssim: 0.9437 - accuracy: 0.7113

Epoch 00069: loss did not improve from 0.93597
Epoch 70/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.7654 - ssim: 0.9441 - accuracy: 0.7134WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 695s 712ms/step - loss: 2.7642 - ssim: 0.9441 - accuracy: 0.7134

Epoch 00070: loss did not improve from 0.93597
Epoch 71/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.3293 - ssim: 0.9302 - accuracy: 0.7096WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 695s 713ms/step - loss: 2.3284 - ssim: 0.9302 - accuracy: 0.7096

Epoch 00071: loss did not improve from 0.93597
Epoch 72/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 0.7599 - ssim: 0.9536 - accuracy: 0.7159WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 712ms/step - loss: 0.7615 - ssim: 0.9536 - accuracy: 0.7159

Epoch 00072: loss did not improve from 0.93597
Epoch 73/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 1.4747 - ssim: 0.9128 - accuracy: 0.7063WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 692s 710ms/step - loss: 1.4752 - ssim: 0.9128 - accuracy: 0.7062

Epoch 00073: loss did not improve from 0.93597
Epoch 74/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.3049 - ssim: 0.7633 - accuracy: 0.6048WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 691s 709ms/step - loss: 2.3048 - ssim: 0.7633 - accuracy: 0.6048

Epoch 00074: loss did not improve from 0.93597
Epoch 75/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.1048 - ssim: 0.6960 - accuracy: 0.5626WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 692s 710ms/step - loss: 2.1066 - ssim: 0.6960 - accuracy: 0.5626

Epoch 00075: loss did not improve from 0.93597
Epoch 76/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 4.2344 - ssim: 0.6710 - accuracy: 0.5369WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 692s 710ms/step - loss: 4.2320 - ssim: 0.6711 - accuracy: 0.5369

Epoch 00076: loss did not improve from 0.93597
Epoch 77/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 3.0889 - ssim: 0.6760 - accuracy: 0.5449WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 692s 710ms/step - loss: 3.0874 - ssim: 0.6760 - accuracy: 0.5449

Epoch 00077: loss did not improve from 0.93597
Epoch 78/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.3656 - ssim: 0.7036 - accuracy: 0.5575WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 692s 710ms/step - loss: 2.3667 - ssim: 0.7036 - accuracy: 0.5575

Epoch 00078: loss did not improve from 0.93597
Epoch 79/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.7401 - ssim: 0.6653 - accuracy: 0.5346WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 692s 711ms/step - loss: 2.7398 - ssim: 0.6653 - accuracy: 0.5346

Epoch 00079: loss did not improve from 0.93597
Epoch 80/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.0697 - ssim: 0.6970 - accuracy: 0.5599WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 711ms/step - loss: 2.0704 - ssim: 0.6970 - accuracy: 0.5599

Epoch 00080: loss did not improve from 0.93597
Epoch 81/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 3.4347 - ssim: 0.6736 - accuracy: 0.5377WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 710ms/step - loss: 3.4352 - ssim: 0.6736 - accuracy: 0.5377

Epoch 00081: loss did not improve from 0.93597
Epoch 82/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 4.9249 - ssim: 0.6425 - accuracy: 0.5208WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 711ms/step - loss: 4.9250 - ssim: 0.6425 - accuracy: 0.5208

Epoch 00082: loss did not improve from 0.93597
Epoch 83/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 3.9272 - ssim: 0.6461 - accuracy: 0.5228WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 691s 710ms/step - loss: 3.9261 - ssim: 0.6461 - accuracy: 0.5228

Epoch 00083: loss did not improve from 0.93597
Epoch 84/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 4.0029 - ssim: 0.6451 - accuracy: 0.5297WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 692s 710ms/step - loss: 4.0018 - ssim: 0.6451 - accuracy: 0.5297

Epoch 00084: loss did not improve from 0.93597
Epoch 85/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 3.6822 - ssim: 0.6462 - accuracy: 0.5389WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 692s 710ms/step - loss: 3.6831 - ssim: 0.6462 - accuracy: 0.5389

Epoch 00085: loss did not improve from 0.93597
Epoch 86/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.8434 - ssim: 0.6415 - accuracy: 0.5209WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 692s 711ms/step - loss: 2.8442 - ssim: 0.6415 - accuracy: 0.5209

Epoch 00086: loss did not improve from 0.93597
Epoch 87/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.9214 - ssim: 0.6640 - accuracy: 0.5476WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 692s 711ms/step - loss: 2.9220 - ssim: 0.6640 - accuracy: 0.5476

Epoch 00087: loss did not improve from 0.93597
Epoch 88/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 6.6754 - ssim: 0.6068 - accuracy: 0.5165WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 711ms/step - loss: 6.6720 - ssim: 0.6068 - accuracy: 0.5165

Epoch 00088: loss did not improve from 0.93597
Epoch 89/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 2.7763 - ssim: 0.6652 - accuracy: 0.5386WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 711ms/step - loss: 2.7781 - ssim: 0.6652 - accuracy: 0.5386

Epoch 00089: loss did not improve from 0.93597
Epoch 90/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
968/969 [============================>.] - ETA: 0s - loss: 3.9426 - ssim: 0.6358 - accuracy: 0.5122WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
969/969 [==============================] - 693s 712ms/step - loss: 3.9425 - ssim: 0.6358 - accuracy: 0.5122

Epoch 00090: loss did not improve from 0.93597
Epoch 91/1000
WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks. For high performance data pipelines tf.data is recommended.
731/969 [=====================>........] - ETA: 2:47 - loss: 2.9180 - ssim: 0.6520 - accuracy: 0.5311Process Keras_worker_ForkPoolWorker-1803:

