carpedm20 / carpedm20/DCGAN-tensorflow
Load Failure around Checkpoint Reading
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Description
Hi! Bumping into some problems trying to run this.
If helpful, setup is GTX0180 using Cuda 7.5 with Tensorflow v.8 on Ubuntu 14.04
with a folder of my own images Im getting:
```
tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcurand.so locally
{'batch_size': 64,
'beta1': 0.5,
'checkpoint_dir': 'checkpoint',
'dataset': 'doom2graphics',
'epoch': 25,
'image_size': 108,
'is_crop': False,
'is_train': True,
'learning_rate': 0.0002,
'sample_dir': 'samples',
'train_size': inf,
'visualize': False}
I tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 0 with properties:
name: GeForce GTX 1080
major: 6 minor: 1 memoryClockRate (GHz) 1.7335
pciBusID 0000:01:00.0
Total memory: 7.92GiB
Free memory: 6.88GiB
I tensorflow/core/common_runtime/gpu/gpu_init.cc:126] DMA: 0
I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 0: Y
I tensorflow/core/common_runtime/gpu/gpu_device.cc:755] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1080, pci bus id: 0000:01:00.0)
[*] Reading checkpoints...
[!] Load failed...
```
and then I get a little more info at the end when I try with the celeb set.
```
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcurand.so locally
{'batch_size': 64,
'beta1': 0.5,
'checkpoint_dir': 'checkpoint',
'dataset': 'celebA',
'epoch': 25,
'image_size': 108,
'is_crop': True,
'is_train': True,
'learning_rate': 0.0002,
'sample_dir': 'samples',
'train_size': inf,
'visualize': False}
I tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 0 with properties:
name: GeForce GTX 1080
major: 6 minor: 1 memoryClockRate (GHz) 1.7335
pciBusID 0000:01:00.0
Total memory: 7.92GiB
Free memory: 6.87GiB
I tensorflow/core/common_runtime/gpu/gpu_init.cc:126] DMA: 0
I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 0: Y
I tensorflow/core/common_runtime/gpu/gpu_device.cc:755] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1080, pci bus id: 0000:01:00.0)
[*] Reading checkpoints...
[!] Load failed...
F tensorflow/stream_executor/cuda/cuda_dnn.cc:427] could not set cudnn filter descriptor: CUDNN_STATUS_BAD_PARAM
F tensorflow/stream_executor/cuda/cuda_dnn.cc:427] could not set cudnn filter descriptor: CUDNN_STATUS_BAD_PARAM
Aborted (core dumped)
```
noob to this universe - any thoughts? thank you for the time!!
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