fork download 
  1. ---------------------------------------------------------------------------
  2. InvalidArgumentError                      Traceback (most recent call last)
  3. ~\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py in _create_c_op(graph, node_def, inputs, control_inputs)
  4.    1575   try:
  5. -> 1576     c_op = c_api.TF_FinishOperation(op_desc)
  6.    1577   except errors.InvalidArgumentError as e:
  7.  
  8. InvalidArgumentError: Negative dimension size caused by subtracting 3 from 2 for 'conv2d_8/convolution' (op: 'Conv2D') with input shapes: [?,256,2,2], [3,3,256,256].
  9.  
  10. During handling of the above exception, another exception occurred:
  11.  
  12. ValueError                                Traceback (most recent call last)
  13. <ipython-input-9-2ab8ebd6113b> in <module>()
  14. ----> 1 model = cnn_model()
  15.       2 
  16.       3 # let's train the model using SGD + momentum
  17.       4 lr = 0.01
  18.       5 sgd = SGD(lr=lr, decay=1e-6, momentum=0.9, nesterov=True)
  19.  
  20. <ipython-input-8-874cae28bb55> in cnn_model()
  21.      23     model.add(Conv2D(256, (3, 3), padding='same',
  22.      24                      activation='relu'))
  23. ---> 25     model.add(Conv2D(256, (3, 3), activation='relu'))
  24.      26     model.add(MaxPooling2D(pool_size=(2, 2)))
  25.      27     model.add(Dropout(0.2))
  26.  
  27. ~\Anaconda3\lib\site-packages\keras\engine\sequential.py in add(self, layer)
  28.     183                 self.inputs = network.get_source_inputs(self.outputs[0])
  29.     184         elif self.outputs:
  30. --> 185             output_tensor = layer(self.outputs[0])
  31.     186             if isinstance(output_tensor, list):
  32.     187                 raise TypeError('All layers in a Sequential model '
  33.  
  34. ~\Anaconda3\lib\site-packages\keras\engine\base_layer.py in __call__(self, inputs, **kwargs)
  35.     455             # Actually call the layer,
  36.     456             # collecting output(s), mask(s), and shape(s).
  37. --> 457             output = self.call(inputs, **kwargs)
  38.     458             output_mask = self.compute_mask(inputs, previous_mask)
  39.     459 
  40.  
  41. ~\Anaconda3\lib\site-packages\keras\layers\convolutional.py in call(self, inputs)
  42.     166                 padding=self.padding,
  43.     167                 data_format=self.data_format,
  44. --> 168                 dilation_rate=self.dilation_rate)
  45.     169         if self.rank == 3:
  46.     170             outputs = K.conv3d(
  47.  
  48. ~\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py in conv2d(x, kernel, strides, padding, data_format, dilation_rate)
  49.    3563         strides=strides,
  50.    3564         padding=padding,
  51. -> 3565         data_format=tf_data_format)
  52.    3566 
  53.    3567     if data_format == 'channels_first' and tf_data_format == 'NHWC':
  54.  
  55. ~\Anaconda3\lib\site-packages\tensorflow\python\ops\nn_ops.py in convolution(input, filter, padding, strides, dilation_rate, name, data_format)
  56.     778         name=name,
  57.     779         data_format=data_format)
  58. --> 780     return op(input, filter)
  59.     781 
  60.     782 
  61.  
  62. ~\Anaconda3\lib\site-packages\tensorflow\python\ops\nn_ops.py in __call__(self, inp, filter)
  63.     866 
  64.     867   def __call__(self, inp, filter):  # pylint: disable=redefined-builtin
  65. --> 868     return self.conv_op(inp, filter)
  66.     869 
  67.     870 
  68.  
  69. ~\Anaconda3\lib\site-packages\tensorflow\python\ops\nn_ops.py in __call__(self, inp, filter)
  70.     518 
  71.     519   def __call__(self, inp, filter):  # pylint: disable=redefined-builtin
  72. --> 520     return self.call(inp, filter)
  73.     521 
  74.     522 
  75.  
  76. ~\Anaconda3\lib\site-packages\tensorflow\python\ops\nn_ops.py in __call__(self, inp, filter)
  77.     202         padding=self.padding,
  78.     203         data_format=self.data_format,
  79. --> 204         name=self.name)
  80.     205 
  81.     206 
  82.  
  83. ~\Anaconda3\lib\site-packages\tensorflow\python\ops\gen_nn_ops.py in conv2d(input, filter, strides, padding, use_cudnn_on_gpu, data_format, dilations, name)
  84.    1040         "Conv2D", input=input, filter=filter, strides=strides,
  85.    1041         padding=padding, use_cudnn_on_gpu=use_cudnn_on_gpu,
  86. -> 1042         data_format=data_format, dilations=dilations, name=name)
  87.    1043     _result = _op.outputs[:]
  88.    1044     _inputs_flat = _op.inputs
  89.  
  90. ~\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords)
  91.     785         op = g.create_op(op_type_name, inputs, output_types, name=scope,
  92.     786                          input_types=input_types, attrs=attr_protos,
  93. --> 787                          op_def=op_def)
  94.     788       return output_structure, op_def.is_stateful, op
  95.     789 
  96.  
  97. ~\Anaconda3\lib\site-packages\tensorflow\python\util\deprecation.py in new_func(*args, **kwargs)
  98.     452                 'in a future version' if date is None else ('after %s' % date),
  99.     453                 instructions)
  100. --> 454       return func(*args, **kwargs)
  101.     455     return tf_decorator.make_decorator(func, new_func, 'deprecated',
  102.     456                                        _add_deprecated_arg_notice_to_docstring(
  103.  
  104. ~\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py in create_op(***failed resolving arguments***)
  105.    3153           input_types=input_types,
  106.    3154           original_op=self._default_original_op,
  107. -> 3155           op_def=op_def)
  108.    3156       self._create_op_helper(ret, compute_device=compute_device)
  109.    3157     return ret
  110.  
  111. ~\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py in __init__(self, node_def, g, inputs, output_types, control_inputs, input_types, original_op, op_def)
  112.    1729           op_def, inputs, node_def.attr)
  113.    1730       self._c_op = _create_c_op(self._graph, node_def, grouped_inputs,
  114. -> 1731                                 control_input_ops)
  115.    1732 
  116.    1733     # Initialize self._outputs.
  117.  
  118. ~\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py in _create_c_op(graph, node_def, inputs, control_inputs)
  119.    1577   except errors.InvalidArgumentError as e:
  120.    1578     # Convert to ValueError for backwards compatibility.
  121. -> 1579     raise ValueError(str(e))
  122.    1580 
  123.    1581   return c_op
  124.  
  125. ValueError: Negative dimension size caused by subtracting 3 from 2 for 'conv2d_8/convolution' (op: 'Conv2D') with input shapes: [?,256,2,2], [3,3,256,256].
Compilation error #stdin compilation error #stdout 0s 0KB
comments (?)
stdin 
Standard input is empty
compilation info 
Main.java:1: error: class, interface, or enum expected
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^
Main.java:1: error: class, interface, or enum expected
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  ^
Main.java:1: error: class, interface, or enum expected
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    ^
Main.java:1: error: class, interface, or enum expected
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      ^
Main.java:1: error: class, interface, or enum expected
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        ^
Main.java:1: error: class, interface, or enum expected
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          ^
Main.java:1: error: class, interface, or enum expected
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            ^
Main.java:1: error: class, interface, or enum expected
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              ^
Main.java:1: error: class, interface, or enum expected
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                ^
Main.java:1: error: class, interface, or enum expected
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                  ^
Main.java:1: error: class, interface, or enum expected
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                    ^
Main.java:1: error: class, interface, or enum expected
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                      ^
Main.java:1: error: class, interface, or enum expected
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                        ^
Main.java:1: error: class, interface, or enum expected
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                          ^
Main.java:1: error: class, interface, or enum expected
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                            ^
Main.java:1: error: class, interface, or enum expected
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                              ^
Main.java:1: error: class, interface, or enum expected
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                                ^
Main.java:1: error: class, interface, or enum expected
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                                  ^
Main.java:1: error: class, interface, or enum expected
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                                    ^
Main.java:1: error: class, interface, or enum expected
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                                      ^
Main.java:1: error: class, interface, or enum expected
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                                        ^
Main.java:1: error: class, interface, or enum expected
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                                          ^
Main.java:1: error: class, interface, or enum expected
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                                            ^
Main.java:1: error: class, interface, or enum expected
---------------------------------------------------------------------------
                                              ^
Main.java:1: error: class, interface, or enum expected
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                                                ^
Main.java:1: error: class, interface, or enum expected
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                                                  ^
Main.java:1: error: class, interface, or enum expected
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                                                    ^
Main.java:1: error: class, interface, or enum expected
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                                                      ^
Main.java:1: error: class, interface, or enum expected
---------------------------------------------------------------------------
                                                        ^
Main.java:1: error: class, interface, or enum expected
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                                                          ^
Main.java:1: error: class, interface, or enum expected
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                                                            ^
Main.java:1: error: class, interface, or enum expected
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                                                              ^
Main.java:1: error: class, interface, or enum expected
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                                                                ^
Main.java:1: error: class, interface, or enum expected
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                                                                  ^
Main.java:1: error: class, interface, or enum expected
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                                                                    ^
Main.java:1: error: class, interface, or enum expected
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                                                                      ^
Main.java:1: error: class, interface, or enum expected
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                                                                        ^
Main.java:1: error: class, interface, or enum expected
---------------------------------------------------------------------------
                                                                          ^
Main.java:2: error: class, interface, or enum expected
InvalidArgumentError                      Traceback (most recent call last)
^
Main.java:3: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py in _create_c_op(graph, node_def, inputs, control_inputs)
 ^
Main.java:3: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py in _create_c_op(graph, node_def, inputs, control_inputs)
           ^
Main.java:3: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py in _create_c_op(graph, node_def, inputs, control_inputs)
               ^
Main.java:3: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py in _create_c_op(graph, node_def, inputs, control_inputs)
                             ^
Main.java:3: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py in _create_c_op(graph, node_def, inputs, control_inputs)
                                        ^
Main.java:3: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py in _create_c_op(graph, node_def, inputs, control_inputs)
                                               ^
Main.java:3: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py in _create_c_op(graph, node_def, inputs, control_inputs)
                                                         ^
Main.java:8: error: unclosed character literal
InvalidArgumentError: Negative dimension size caused by subtracting 3 from 2 for 'conv2d_8/convolution' (op: 'Conv2D') with input shapes: [?,256,2,2], [3,3,256,256].
                                                                                 ^
Main.java:8: error: unclosed character literal
InvalidArgumentError: Negative dimension size caused by subtracting 3 from 2 for 'conv2d_8/convolution' (op: 'Conv2D') with input shapes: [?,256,2,2], [3,3,256,256].
                                                                                                      ^
Main.java:8: error: unclosed character literal
InvalidArgumentError: Negative dimension size caused by subtracting 3 from 2 for 'conv2d_8/convolution' (op: 'Conv2D') with input shapes: [?,256,2,2], [3,3,256,256].
                                                                                                             ^
Main.java:8: error: unclosed character literal
InvalidArgumentError: Negative dimension size caused by subtracting 3 from 2 for 'conv2d_8/convolution' (op: 'Conv2D') with input shapes: [?,256,2,2], [3,3,256,256].
                                                                                                                    ^
Main.java:16: error: illegal character: '#'
      3 # let's train the model using SGD + momentum
        ^
Main.java:16: error: unclosed character literal
      3 # let's train the model using SGD + momentum
             ^
Main.java:21: error: unclosed character literal
     23     model.add(Conv2D(256, (3, 3), padding='same',
                                                  ^
Main.java:21: error: unclosed character literal
     23     model.add(Conv2D(256, (3, 3), padding='same',
                                                       ^
Main.java:22: error: unclosed character literal
     24                      activation='relu'))
                                        ^
Main.java:22: error: unclosed character literal
     24                      activation='relu'))
                                             ^
Main.java:23: error: unclosed character literal
---> 25     model.add(Conv2D(256, (3, 3), activation='relu'))
                                                     ^
Main.java:23: error: unclosed character literal
---> 25     model.add(Conv2D(256, (3, 3), activation='relu'))
                                                          ^
Main.java:27: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\engine\sequential.py in add(self, layer)
 ^
Main.java:27: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\engine\sequential.py in add(self, layer)
           ^
Main.java:27: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\engine\sequential.py in add(self, layer)
               ^
Main.java:27: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\engine\sequential.py in add(self, layer)
                             ^
Main.java:27: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\engine\sequential.py in add(self, layer)
                                   ^
Main.java:27: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\engine\sequential.py in add(self, layer)
                                          ^
Main.java:32: error: unclosed character literal
    187                 raise TypeError('All layers in a Sequential model '
                                        ^
Main.java:32: error: illegal line end in character literal
    187                 raise TypeError('All layers in a Sequential model '
                                                                          ^
Main.java:34: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\engine\base_layer.py in __call__(self, inputs, **kwargs)
 ^
Main.java:34: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\engine\base_layer.py in __call__(self, inputs, **kwargs)
           ^
Main.java:34: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\engine\base_layer.py in __call__(self, inputs, **kwargs)
               ^
Main.java:34: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\engine\base_layer.py in __call__(self, inputs, **kwargs)
                             ^
Main.java:34: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\engine\base_layer.py in __call__(self, inputs, **kwargs)
                                   ^
Main.java:34: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\engine\base_layer.py in __call__(self, inputs, **kwargs)
                                          ^
Main.java:35: error: illegal character: '#'
    455             # Actually call the layer,
                    ^
Main.java:36: error: illegal character: '#'
    456             # collecting output(s), mask(s), and shape(s).
                    ^
Main.java:41: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\layers\convolutional.py in call(self, inputs)
 ^
Main.java:41: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\layers\convolutional.py in call(self, inputs)
           ^
Main.java:41: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\layers\convolutional.py in call(self, inputs)
               ^
Main.java:41: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\layers\convolutional.py in call(self, inputs)
                             ^
Main.java:41: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\layers\convolutional.py in call(self, inputs)
                                   ^
Main.java:41: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\layers\convolutional.py in call(self, inputs)
                                          ^
Main.java:48: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py in conv2d(x, kernel, strides, padding, data_format, dilation_rate)
 ^
Main.java:48: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py in conv2d(x, kernel, strides, padding, data_format, dilation_rate)
           ^
Main.java:48: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py in conv2d(x, kernel, strides, padding, data_format, dilation_rate)
               ^
Main.java:48: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py in conv2d(x, kernel, strides, padding, data_format, dilation_rate)
                             ^
Main.java:48: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py in conv2d(x, kernel, strides, padding, data_format, dilation_rate)
                                   ^
Main.java:48: error: illegal character: '\'
~\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py in conv2d(x, kernel, strides, padding, data_format, dilation_rate)
                                           ^
Main.java:53: error: unclosed character literal
   3567     if data_format == 'channels_first' and tf_data_format == 'NHWC':
                              ^
Main.java:53: error: unclosed character literal
   3567     if data_format == 'channels_first' and tf_data_format == 'NHWC':
                                             ^
Main.java:53: error: unclosed character literal
   3567     if data_format == 'channels_first' and tf_data_format == 'NHWC':
                                                                     ^
Main.java:53: error: unclosed character literal
   3567     if data_format == 'channels_first' and tf_data_format == 'NHWC':
                                                                          ^
Main.java:55: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\ops\nn_ops.py in convolution(input, filter, padding, strides, dilation_rate, name, data_format)
 ^
Main.java:55: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\ops\nn_ops.py in convolution(input, filter, padding, strides, dilation_rate, name, data_format)
           ^
Main.java:55: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\ops\nn_ops.py in convolution(input, filter, padding, strides, dilation_rate, name, data_format)
               ^
Main.java:55: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\ops\nn_ops.py in convolution(input, filter, padding, strides, dilation_rate, name, data_format)
                             ^
Main.java:55: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\ops\nn_ops.py in convolution(input, filter, padding, strides, dilation_rate, name, data_format)
                                        ^
Main.java:55: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\ops\nn_ops.py in convolution(input, filter, padding, strides, dilation_rate, name, data_format)
                                               ^
Main.java:55: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\ops\nn_ops.py in convolution(input, filter, padding, strides, dilation_rate, name, data_format)
                                                   ^
Main.java:62: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\ops\nn_ops.py in __call__(self, inp, filter)
 ^
Main.java:62: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\ops\nn_ops.py in __call__(self, inp, filter)
           ^
Main.java:62: error: illegal character: '\'
~\Anaconda3\lib\site-packages\tensorflow\python\ops\nn_ops.py in __call__(self, inp, filter)
               ^
100 errors
stdout 
Standard output is empty
https://ideone.com/hnq62i
language:
Java (HotSpot 12)
created:
7 years ago
visibility:
public

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