mhyttsten/tfblogs_2017

tfblogs_2017's Issues

file close in with scope

    with open(file, "wb") as f:
        f.write(data)
        f.close()

Why use f.close() in with scope? To my understanding, 'with' syntax wll do release task by itself. Am I right?

AttributeError: 'list' object has no attribute 'get_shape' running Blog_Estimators_DataSet

TensorFlow version: 1.6.0

AttributeError Traceback (most recent call last)
in ()
76 return batch_features, batch_labels
77
---> 78 next_batch = my_input_fn(FILE_TRAIN, True) # Will return 32 random elements
79
80 # Create the feature_columns, which specifies the input to our model

in my_input_fn(file_path, perform_shuffle, repeat_count)
66 dataset = (tf.data.TextLineDataset(file_path) # Read text file
67 .skip(1) # Skip header row
---> 68 .map(decode_csv)) # Transform each elem by applying decode_csv fn
69 if perform_shuffle:
70 # Randomizes input using a window of 256 elements (read into memory)

/usr/local/lib/python2.7/dist-packages/tensorflow/python/data/ops/dataset_ops.pyc in map(self, map_func, num_parallel_calls)
788 """
789 if num_parallel_calls is None:
--> 790 return MapDataset(self, map_func)
791 else:
792 return ParallelMapDataset(self, map_func, num_parallel_calls)

/usr/local/lib/python2.7/dist-packages/tensorflow/python/data/ops/dataset_ops.pyc in init(self, input_dataset, map_func)
1595
1596 self._map_func = tf_map_func
-> 1597 self._map_func.add_to_graph(ops.get_default_graph())
1598
1599 def _as_variant_tensor(self):

/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/function.pyc in add_to_graph(self, g)
484 def add_to_graph(self, g):
485 """Adds this function into the graph g."""
--> 486 self._create_definition_if_needed()
487
488 # Adds this function into 'g'.

/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/function.pyc in _create_definition_if_needed(self)
319 """Creates the function definition if it's not created yet."""
320 with context.graph_mode():
--> 321 self._create_definition_if_needed_impl()
322
323 def _create_definition_if_needed_impl(self):

/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/function.pyc in _create_definition_if_needed_impl(self)
336 # Call func and gather the output tensors.
337 with vs.variable_scope("", custom_getter=temp_graph.getvar):
--> 338 outputs = self._func(*inputs)
339
340 # There is no way of distinguishing between a function not returning

/usr/local/lib/python2.7/dist-packages/tensorflow/python/data/ops/dataset_ops.pyc in tf_map_func(*args)
1583 self._output_classes = sparse.get_classes(ret)
1584 self._output_shapes = nest.pack_sequence_as(
-> 1585 ret, [t.get_shape() for t in nest.flatten(ret)])
1586 self._output_types = nest.pack_sequence_as(
1587 ret, [t.dtype for t in nest.flatten(ret)])

AttributeError: 'list' object has no attribute 'get_shape'