unc-optics / deepcgh Goto Github PK

Current working directory is:
C:\Users\user\folders\DeepCGH 

Data already exists.
Looking for trained models in:
C:\Users\user\folders\DeepCGH 

Model already exists.
INFO:tensorflow:Using default config.
INFO:tensorflow:Using config: {'_model_dir': 'C:\\Users\\user\\folders\\DeepCGH\\DeepCGH_Models\\Disks\\Model_Disk_SHP(512, 512, 3)_IF16_Dst0.005_WL1e-06_PS1.5e-05_CNTFalse_64', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': allow_soft_placement: true
graph_options {
  rewrite_options {
    meta_optimizer_iterations: ONE
  }
}
, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_checkpoint_save_graph_def': True, '_service': None, '_cluster_spec': ClusterSpec({}), '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}
INFO:tensorflow:Not using Distribute Coordinator.
INFO:tensorflow:Running training and evaluation locally (non-distributed).
INFO:tensorflow:Start train and evaluate loop. The evaluate will happen after every checkpoint. Checkpoint frequency is determined based on RunConfig arguments: save_checkpoints_steps None or save_checkpoints_secs 600.
WARNING:tensorflow:From C:\Users\user\anaconda3\envs\tf\lib\site-packages\tensorflow\python\training\training_util.py:396: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
INFO:tensorflow:Calling model_fn.
WARNING:tensorflow:From C:\Users\user\anaconda3\envs\tf\lib\site-packages\keras\layers\normalization\batch_normalization.py:562: _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.
INFO:tensorflow:Done calling model_fn.
INFO:tensorflow:Create CheckpointSaverHook.
INFO:tensorflow:Graph was finalized.
INFO:tensorflow:Restoring parameters from C:\Users\user\folders\DeepCGH\DeepCGH_Models\Disks\Model_Disk_SHP(512, 512, 3)_IF16_Dst0.005_WL1e-06_PS1.5e-05_CNTFalse_64\model.ckpt-4000
WARNING:tensorflow:From C:\Users\user\anaconda3\envs\tf\lib\site-packages\tensorflow\python\training\saver.py:1173: get_checkpoint_mtimes (from tensorflow.python.checkpoint.checkpoint_management) is deprecated and will be removed in a future version.
Instructions for updating:
Use standard file utilities to get mtimes.
INFO:tensorflow:Running local_init_op.
INFO:tensorflow:Done running local_init_op.
INFO:tensorflow:Calling checkpoint listeners before saving checkpoint 4000...
INFO:tensorflow:Saving checkpoints for 4000 into C:\Users\user\folders\DeepCGH\DeepCGH_Models\Disks\Model_Disk_SHP(512, 512, 3)_IF16_Dst0.005_WL1e-06_PS1.5e-05_CNTFalse_64\model.ckpt.
INFO:tensorflow:Calling checkpoint listeners after saving checkpoint 4000...
Traceback (most recent call last):

  File ~\anaconda3\envs\tf\lib\site-packages\tensorflow\python\client\session.py:1378 in _do_call
    return fn(*args)

  File ~\anaconda3\envs\tf\lib\site-packages\tensorflow\python\client\session.py:1361 in _run_fn
    return self._call_tf_sessionrun(options, feed_dict, fetch_list,

  File ~\anaconda3\envs\tf\lib\site-packages\tensorflow\python\client\session.py:1454 in _call_tf_sessionrun
    return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,

InvalidArgumentError: Conv2DBackpropFilter: input depth must be evenly divisible by filter depth
	 [[{{node Adam/gradients/gradients/model/conv2d_13/Conv2D_grad/Conv2DBackpropFilter}}]]