TEST Fail || HELP

after training, i get this message when i try to test

(tf_gpu) S:\Pagmer\DCGAN\DCGAN-tensorflow-master\DCGAN-tensorflow-master>python main.py --dataset Doors --input_height=250 --crop
{'G_img_sum': ,
'batch_size': ,
'beta1': ,
'checkpoint_dir': ,
'ckpt_freq': ,
'crop': ,
'data_dir': ,
'dataset': ,
'epoch': ,
'export': ,
'freeze': ,
'h': ,
'help': ,
'helpfull': ,
'helpshort': ,
'input_fname_pattern': ,
'input_height': ,
'input_width': ,
'learning_rate': ,
'max_to_keep': ,
'out_dir': ,
'out_name': ,
'output_height': ,
'output_width': ,
'sample_dir': ,
'sample_freq': ,
'train': ,
'train_size': ,
'visualize': ,
'z_dim': ,
'z_dist': }
2019-05-15 18:50:27.450608: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2019-05-15 18:50:27.609271: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 0 with properties:
name: GeForce GTX 1070 major: 6 minor: 1 memoryClockRate(GHz): 1.7465
pciBusID: 0000:01:00.0
totalMemory: 8.00GiB freeMemory: 6.64GiB
2019-05-15 18:50:27.614137: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0
2019-05-15 18:50:28.136045: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-05-15 18:50:28.140202: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0
2019-05-15 18:50:28.141478: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0: N
2019-05-15 18:50:28.142812: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6389 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1070, pci bus id: 0000:01:00.0, compute capability: 6.1)
WARNING:tensorflow:From C:\ProgramData\Anaconda3\envs\tf_gpu\lib\site-packages\tensorflow\python\framework\op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
---------
Variables: name (type shape) [size]
---------
generator/g_h0_lin/Matrix:0 (float32_ref 100x524288) [52428800, bytes: 209715200]
generator/g_h0_lin/bias:0 (float32_ref 524288) [524288, bytes: 2097152]
generator/g_bn0/beta:0 (float32_ref 512) [512, bytes: 2048]
generator/g_bn0/gamma:0 (float32_ref 512) [512, bytes: 2048]
generator/g_h1/w:0 (float32_ref 5x5x256x512) [3276800, bytes: 13107200]
generator/g_h1/biases:0 (float32_ref 256) [256, bytes: 1024]
generator/g_bn1/beta:0 (float32_ref 256) [256, bytes: 1024]
generator/g_bn1/gamma:0 (float32_ref 256) [256, bytes: 1024]
generator/g_h2/w:0 (float32_ref 5x5x128x256) [819200, bytes: 3276800]
generator/g_h2/biases:0 (float32_ref 128) [128, bytes: 512]
generator/g_bn2/beta:0 (float32_ref 128) [128, bytes: 512]
generator/g_bn2/gamma:0 (float32_ref 128) [128, bytes: 512]
generator/g_h3/w:0 (float32_ref 5x5x64x128) [204800, bytes: 819200]
generator/g_h3/biases:0 (float32_ref 64) [64, bytes: 256]
generator/g_bn3/beta:0 (float32_ref 64) [64, bytes: 256]
generator/g_bn3/gamma:0 (float32_ref 64) [64, bytes: 256]
generator/g_h4/w:0 (float32_ref 5x5x3x64) [4800, bytes: 19200]
generator/g_h4/biases:0 (float32_ref 3) [3, bytes: 12]
discriminator/d_h0_conv/w:0 (float32_ref 5x5x3x64) [4800, bytes: 19200]
discriminator/d_h0_conv/biases:0 (float32_ref 64) [64, bytes: 256]
discriminator/d_h1_conv/w:0 (float32_ref 5x5x64x128) [204800, bytes: 819200]
discriminator/d_h1_conv/biases:0 (float32_ref 128) [128, bytes: 512]
discriminator/d_bn1/beta:0 (float32_ref 128) [128, bytes: 512]
discriminator/d_bn1/gamma:0 (float32_ref 128) [128, bytes: 512]
discriminator/d_h2_conv/w:0 (float32_ref 5x5x128x256) [819200, bytes: 3276800]
discriminator/d_h2_conv/biases:0 (float32_ref 256) [256, bytes: 1024]
discriminator/d_bn2/beta:0 (float32_ref 256) [256, bytes: 1024]
discriminator/d_bn2/gamma:0 (float32_ref 256) [256, bytes: 1024]
discriminator/d_h3_conv/w:0 (float32_ref 5x5x256x512) [3276800, bytes: 13107200]
discriminator/d_h3_conv/biases:0 (float32_ref 512) [512, bytes: 2048]
discriminator/d_bn3/beta:0 (float32_ref 512) [512, bytes: 2048]
discriminator/d_bn3/gamma:0 (float32_ref 512) [512, bytes: 2048]
discriminator/d_h4_lin/Matrix:0 (float32_ref 524288x1) [524288, bytes: 2097152]
discriminator/d_h4_lin/bias:0 (float32_ref 1) [1, bytes: 4]
Total size of variables: 62093700
Total bytes of variables: 248374800
[*] Reading checkpoints... ./out\20190515.185027 - data - Doors\checkpoint
[*] Failed to find a checkpoint
Traceback (most recent call last):
File "main.py", line 147, in
tf.app.run()
File "C:\ProgramData\Anaconda3\envs\tf_gpu\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run
_sys.exit(main(argv))
File "main.py", line 124, in main
raise Exception("Checkpoint not found in " + FLAGS.checkpoint_dir)
Exception: Checkpoint not found in ./out\20190515.185027 - data - Doors\checkpoint

anyone knows whats up?

Start in main.py around the checkpoint-loading path and compare the reported checkpoint directory with the training output. Reproduce the command if the environment and checkpoint are available; done means the test run locates the intended checkpoint or reports a clear, actionable failure.

Written by the indexing model from the issue text.