eriklindernoren / Keras-GAN

Keras implementations of Generative Adversarial Networks.
MIT License
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About pix2pix cannot be executed #246

Open yenai3726 opened 3 years ago

yenai3726 commented 3 years ago

I try to execute pix2pix ,Nothing happens after getting the following message Which side is the problem? Is the CUDA version? My GPU use : GTX 1060 6GB

thank you for notice and answer !!

2020-12-30 16:03:10.831320: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudart64_101.dll 2020-12-30 16:03:13.286613: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library nvcuda.dll 2020-12-30 16:03:13.302317: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: pciBusID: 0000:01:00.0 name: GeForce GTX 1060 6GB computeCapability: 6.1 coreClock: 1.7465GHz coreCount: 10 deviceMemorySize: 6.00GiB deviceMemoryBandwidth: 178.99GiB/s 2020-12-30 16:03:13.302461: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudart64_101.dll 2020-12-30 16:03:13.306552: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cublas64_10.dll 2020-12-30 16:03:13.310606: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cufft64_10.dll 2020-12-30 16:03:13.311937: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library curand64_10.dll 2020-12-30 16:03:13.316439: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cusolver64_10.dll 2020-12-30 16:03:13.318603: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cusparse64_10.dll 2020-12-30 16:03:13.327148: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudnn64_7.dll 2020-12-30 16:03:13.327352: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0 2020-12-30 16:03:13.328021: 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 To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2020-12-30 16:03:13.337328: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x139b4eaba80 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2020-12-30 16:03:13.337458: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2020-12-30 16:03:13.338073: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: pciBusID: 0000:01:00.0 name: GeForce GTX 1060 6GB computeCapability: 6.1 coreClock: 1.7465GHz coreCount: 10 deviceMemorySize: 6.00GiB deviceMemoryBandwidth: 178.99GiB/s 2020-12-30 16:03:13.338369: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudart64_101.dll 2020-12-30 16:03:13.338978: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cublas64_10.dll 2020-12-30 16:03:13.339328: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cufft64_10.dll 2020-12-30 16:03:13.339725: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library curand64_10.dll 2020-12-30 16:03:13.341241: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cusolver64_10.dll 2020-12-30 16:03:13.341636: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cusparse64_10.dll 2020-12-30 16:03:13.342014: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudnn64_7.dll 2020-12-30 16:03:13.342458: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0 2020-12-30 16:03:13.917688: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix: 2020-12-30 16:03:13.917882: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263] 0 2020-12-30 16:03:13.918752: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0: N 2020-12-30 16:03:13.919398: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 4826 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1060 6GB, pci bus id: 0000:01:00.0, compute capability: 6.1) 2020-12-30 16:03:13.923075: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x139e4e74540 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2020-12-30 16:03:13.923179: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): GeForce GTX 1060 6GB, Compute Capability 6.1