D:\ProgramData\Anaconda3\envs\python3.6\python.exe C:\Users\Administrator\.IntelliJIdea2018.1\config\plugins\python\helpers\pydev\pydev_run_in_console.py 61990 61991 D:/IdeaProjects/TensorFlow_Exercises/HelloWorld/cnn_mnist.py Running D:/IdeaProjects/TensorFlow_Exercises/HelloWorld/cnn_mnist.py import sys; print('Python %s on %s' % (sys.version, sys.platform)) sys.path.extend(['D:\\IdeaProjects\\TensorFlow_Exercises', 'D:/IdeaProjects/TensorFlow_Exercises/HelloWorld']) WARNING:tensorflow:From D:/IdeaProjects/TensorFlow_Exercises/HelloWorld/cnn_mnist.py:6: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version. Instructions for updating: Please use alternatives such as official/mnist/dataset.py from tensorflow/models. WARNING:tensorflow:From D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version. Instructions for updating: Please write your own downloading logic. WARNING:tensorflow:From D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version. Instructions for updating: Please use tf.data to implement this functionality. Extracting mnist_data\train-images-idx3-ubyte.gz Extracting mnist_data\train-labels-idx1-ubyte.gz WARNING:tensorflow:From D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version. Instructions for updating: Please use tf.data to implement this functionality. Extracting mnist_data\t10k-images-idx3-ubyte.gz WARNING:tensorflow:From D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\mnist.py:110: dense_to_one_hot (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version. Instructions for updating: Please use tf.one_hot on tensors. Extracting mnist_data\t10k-labels-idx1-ubyte.gz WARNING:tensorflow:From D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version. Instructions for updating: Please use alternatives such as official/mnist/dataset.py from tensorflow/models. 2018-06-20 17:49:02.072827: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2 Traceback (most recent call last): File "D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\python\client\session.py", line 1322, in _do_call return fn(*args) File "D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\python\client\session.py", line 1307, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\python\client\session.py", line 1409, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.InvalidArgumentError: logits and labels must be broadcastable: logits_size=[100,10] labels_size=[50,10] [[Node: softmax_cross_entropy_loss/xentropy = SoftmaxCrossEntropyWithLogits[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](softmax_cross_entropy_loss/xentropy/Reshape, softmax_cross_entropy_loss/xentropy/Reshape_1)]] During handling of the above exception, another exception occurred: Traceback (most recent call last): File "C:\Users\Administrator\.IntelliJIdea2018.1\config\plugins\python\helpers\pydev\pydev_run_in_console.py", line 52, in run_file pydev_imports.execfile(file, globals, locals) # execute the script File "C:\Users\Administrator\.IntelliJIdea2018.1\config\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile exec(compile(contents+"\n", file, 'exec'), glob, loc) File "D:/IdeaProjects/TensorFlow_Exercises/HelloWorld/cnn_mnist.py", line 159, in <module> {input_x: batch[0], output_y: batch[1]} File "D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\python\client\session.py", line 900, in run run_metadata_ptr) File "D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\python\client\session.py", line 1135, in _run feed_dict_tensor, options, run_metadata) File "D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\python\client\session.py", line 1316, in _do_run run_metadata) File "D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\python\client\session.py", line 1335, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InvalidArgumentError: logits and labels must be broadcastable: logits_size=[100,10] labels_size=[50,10] [[Node: softmax_cross_entropy_loss/xentropy = SoftmaxCrossEntropyWithLogits[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](softmax_cross_entropy_loss/xentropy/Reshape, softmax_cross_entropy_loss/xentropy/Reshape_1)]] Caused by op 'softmax_cross_entropy_loss/xentropy', defined at: File "C:\Users\Administrator\.IntelliJIdea2018.1\config\plugins\python\helpers\pydev\pydev_run_in_console.py", line 150, in <module> globals = run_file(file, None, None, is_module) File "C:\Users\Administrator\.IntelliJIdea2018.1\config\plugins\python\helpers\pydev\pydev_run_in_console.py", line 52, in run_file pydev_imports.execfile(file, globals, locals) # execute the script File "C:\Users\Administrator\.IntelliJIdea2018.1\config\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile exec(compile(contents+"\n", file, 'exec'), glob, loc) File "D:/IdeaProjects/TensorFlow_Exercises/HelloWorld/cnn_mnist.py", line 124, in <module> onehot_labels=output_y, logits=logits File "D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\python\ops\losses\losses_impl.py", line 749, in softmax_cross_entropy labels=onehot_labels, logits=logits, name="xentropy") File "D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\python\ops\nn_ops.py", line 1873, in softmax_cross_entropy_with_logits_v2 precise_logits, labels, name=name) File "D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\python\ops\gen_nn_ops.py", line 7168, in softmax_cross_entropy_with_logits name=name) File "D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\python\framework\ops.py", line 3392, in create_op op_def=op_def) File "D:\ProgramData\Anaconda3\envs\python3.6\lib\site-packages\tensorflow\python\framework\ops.py", line 1718, in __init__ self._traceback = self._graph._extract_stack() # pylint: disable=protected-access InvalidArgumentError (see above for traceback): logits and labels must be broadcastable: logits_size=[100,10] labels_size=[50,10] [[Node: softmax_cross_entropy_loss/xentropy = SoftmaxCrossEntropyWithLogits[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](softmax_cross_entropy_loss/xentropy/Reshape, softmax_cross_entropy_loss/xentropy/Reshape_1)]] PyDev console: starting. Python 3.6.2 |Continuum Analytics, Inc.| (default, Jul 20 2017, 12:30:02) [MSC v.1900 64 bit (AMD64)] on win32
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