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xiaowei-hu / CycleGAN-tensorflow

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf
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discriminatorB/d_h3_pred/Conv/weights:0 #36

Open Deeplearning20 opened 6 years ago

Deeplearning20 commented 6 years ago

When I use the 'CUDA_VISIBLE_DEVICES=0 python main.py --dataset_dir=horse2zebra'，there are many problems: 2018-05-29 09:49:48.450923: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2018-05-29 09:49:48.528092: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2018-05-29 09:49:48.528340: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.683 pciBusID: 0000:01:00.0 totalMemory: 10.91GiB freeMemory: 6.17GiB 2018-05-29 09:49:48.528354: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0 2018-05-29 09:49:48.991358: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 5950 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1) generatorA2B/g_e1_c/Conv/weights:0 generatorA2B/g_e1_bn/scale:0 generatorA2B/g_e1_bn/offset:0 generatorA2B/g_e2_c/Conv/weights:0 generatorA2B/g_e2_bn/scale:0 generatorA2B/g_e2_bn/offset:0 generatorA2B/g_e3_c/Conv/weights:0 generatorA2B/g_e3_bn/scale:0 generatorA2B/g_e3_bn/offset:0 generatorA2B/g_r1_c1/Conv/weights:0 generatorA2B/g_r1_bn1/scale:0 generatorA2B/g_r1_bn1/offset:0 generatorA2B/g_r1_c2/Conv/weights:0 generatorA2B/g_r1_bn2/scale:0 generatorA2B/g_r1_bn2/offset:0 generatorA2B/g_r2_c1/Conv/weights:0 generatorA2B/g_r2_bn1/scale:0 generatorA2B/g_r2_bn1/offset:0 generatorA2B/g_r2_c2/Conv/weights:0 generatorA2B/g_r2_bn2/scale:0 generatorA2B/g_r2_bn2/offset:0 generatorA2B/g_r3_c1/Conv/weights:0 generatorA2B/g_r3_bn1/scale:0 generatorA2B/g_r3_bn1/offset:0 generatorA2B/g_r3_c2/Conv/weights:0 generatorA2B/g_r3_bn2/scale:0 generatorA2B/g_r3_bn2/offset:0 generatorA2B/g_r4_c1/Conv/weights:0 generatorA2B/g_r4_bn1/scale:0 generatorA2B/g_r4_bn1/offset:0 generatorA2B/g_r4_c2/Conv/weights:0 generatorA2B/g_r4_bn2/scale:0 generatorA2B/g_r4_bn2/offset:0 generatorA2B/g_r5_c1/Conv/weights:0 generatorA2B/g_r5_bn1/scale:0 generatorA2B/g_r5_bn1/offset:0 generatorA2B/g_r5_c2/Conv/weights:0 generatorA2B/g_r5_bn2/scale:0 generatorA2B/g_r5_bn2/offset:0 generatorA2B/g_r6_c1/Conv/weights:0 generatorA2B/g_r6_bn1/scale:0 generatorA2B/g_r6_bn1/offset:0 ' How can I solve the problem of 'weights=0'???????

zxt-triumph commented 6 years ago

I also encountered this problem with you,how did you solve it?

Deeplearning20 commented 6 years ago

The weight of 0 does not affect, I did not care about it！hope this helps