Pasted

"C:\Program Files\Python36\python.exe" "C:/Users/woods/PycharmProjects/JamesMinigames/Agents/mnist eager.py"
1.11.0
2018-11-29 19:35:57.722467: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
eager beaver
2018-11-29 19:35:58.352664: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1411] Found device 0 with properties: 
name: GeForce GTX 980 Ti major: 5 minor: 2 memoryClockRate(GHz): 1.1015
pciBusID: 0000:03:00.0
totalMemory: 6.00GiB freeMemory: 4.88GiB
2018-11-29 19:35:58.551744: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1411] Found device 1 with properties: 
name: GeForce GTX 980 Ti major: 5 minor: 2 memoryClockRate(GHz): 1.1015
pciBusID: 0000:04:00.0
totalMemory: 6.00GiB freeMemory: 4.88GiB
2018-11-29 19:35:58.552913: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1490] Adding visible gpu devices: 0, 1
2018-11-29 19:36:01.420015: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-11-29 19:36:01.420620: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977]      0 1 
2018-11-29 19:36:01.420910: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0:   N Y 
2018-11-29 19:36:01.421188: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 1:   Y N 
2018-11-29 19:36:01.421754: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1103] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 4633 MB memory) -> physical GPU (device: 0, name: GeForce GTX 980 Ti, pci bus id: 0000:03:00.0, compute capability: 5.2)
2018-11-29 19:36:01.947951: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1103] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 4633 MB memory) -> physical GPU (device: 1, name: GeForce GTX 980 Ti, pci bus id: 0000:04:00.0, compute capability: 5.2)
hello, [[4.]]
Traceback (most recent call last):
  File "C:/Users/woods/PycharmProjects/JamesMinigames/Agents/mnist eager.py", line 61, in <module>
    input_fn=lambda: train_input_fn(train_images, train_labels, 100), steps=2000)
  File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 356, in train
    loss = self._train_model(input_fn, hooks, saving_listeners)
  File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 1181, in _train_model
    return self._train_model_default(input_fn, hooks, saving_listeners)
  File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 1211, in _train_model_default
    features, labels, model_fn_lib.ModeKeys.TRAIN, self.config)
  File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 1169, in _call_model_fn
    model_fn_results = self._model_fn(features=features, **kwargs)
  File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\estimator\canned\dnn.py", line 385, in _model_fn
    batch_norm=batch_norm)
  File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\estimator\canned\dnn.py", line 179, in _dnn_model_fn
    'Given type: {}'.format(type(features)))
ValueError: features should be a dictionary of `Tensor`s. Given type: <class 'tensorflow.python.framework.ops.Tensor'>
 Process finished with exit code 1