| /external/tensorflow/tensorflow/python/data/ops/ |
| D | dataset_ops.py | 146 …[input_dataset._has_captured_ref() for input_dataset in self._inputs()]) # pylint: disable=protec…
165 for input_dataset in self._inputs():
166 input_options = input_dataset.options()
2041 def __init__(self, input_dataset, variant_tensor): argument
2042 self._input_dataset = input_dataset
2052 def __init__(self, input_dataset, variant_tensor): argument
2053 self._input_dataset = input_dataset
2055 input_dataset, variant_tensor)
2550 def __init__(self, input_dataset, dataset_to_concatenate): argument
2552 self._input_dataset = input_dataset
[all …]
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| /external/tensorflow/tensorflow/python/data/experimental/ops/ |
| D | optimization.py | 106 def __init__(self, input_dataset, transformations): argument
108 self._input_dataset = input_dataset
118 super(_AssertNextDataset, self).__init__(input_dataset, variant_tensor)
124 def __init__(self, input_dataset): argument
126 self._input_dataset = input_dataset
131 super(_NonSerializableDataset, self).__init__(input_dataset, variant_tensor)
185 input_dataset, argument
254 input_dataset.output_types, input_dataset.output_shapes,
255 input_dataset.output_classes)))
279 input_dataset._variant_tensor, # pylint: disable=protected-access
[all …]
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| D | grouping.py | 249 def __init__(self, input_dataset, key_func, reducer): argument
251 self._input_dataset = input_dataset
252 self._make_key_func(key_func, input_dataset)
254 self._make_reduce_func(reducer.reduce_func, input_dataset)
267 super(_GroupByReducerDataset, self).__init__(input_dataset, variant_tensor)
269 def _make_key_func(self, key_func, input_dataset): argument
272 key_func, self._transformation_name(), dataset=input_dataset)
287 def _make_reduce_func(self, reduce_func, input_dataset): argument
303 … (self._state_structure, input_dataset._element_structure)), # pylint: disable=protected-access
373 def __init__(self, input_dataset, key_func, reduce_func, window_size_func): argument
[all …]
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| D | batching.py | 363 def __init__(self, input_dataset): argument
365 input_shapes = dataset_ops.get_legacy_output_shapes(input_dataset)
376 self._input_dataset = input_dataset
379 dataset_ops.get_legacy_output_types(input_dataset),
381 dataset_ops.get_legacy_output_classes(input_dataset))
386 super(_UnbatchDataset, self).__init__(input_dataset, variant_tensor)
451 def __init__(self, input_dataset, batch_size, row_shape): argument
454 dataset_ops.get_legacy_output_types(input_dataset), dtypes.DType):
457 dataset_ops.get_legacy_output_types(input_dataset))
458 self._input_dataset = input_dataset
[all …]
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| D | distribute.py | 43 def __init__(self, input_dataset, num_workers, index): argument
44 self._input_dataset = input_dataset
46 self._structure = input_dataset._element_structure # pylint: disable=protected-access
52 super(_AutoShardDataset, self).__init__(input_dataset, variant_tensor)
|
| D | unique.py | 54 def __init__(self, input_dataset): argument
56 self._input_dataset = input_dataset
57 if dataset_ops.get_legacy_output_types(input_dataset) not in (
65 super(_UniqueDataset, self).__init__(input_dataset, variant_tensor)
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| D | prefetching_ops.py | 88 def __init__(self, input_dataset, target_device, source_device="/cpu:0"): argument
96 self._input_dataset = input_dataset
212 super(_CopyToDeviceDataset, self).__init__(input_dataset, variant_tensor)
231 def __init__(self, input_dataset, map_func, use_inter_op_parallelism=True): argument
233 self._input_dataset = input_dataset
239 dataset=input_dataset,
247 super(_MapOnGpuDataset, self).__init__(input_dataset, variant_tensor)
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| D | error_ops.py | 58 def __init__(self, input_dataset): argument
60 self._input_dataset = input_dataset
65 super(_IgnoreErrorsDataset, self).__init__(input_dataset, variant_tensor)
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| D | sleep.py | 27 def __init__(self, input_dataset, sleep_microseconds): argument
28 self._input_dataset = input_dataset
34 super(_SleepDataset, self).__init__(input_dataset, variant_tensor)
|
| D | take_while_ops.py | 30 def __init__(self, input_dataset, predicate): argument
33 self._input_dataset = input_dataset
49 super(_TakeWhileDataset, self).__init__(input_dataset, var_tensor)
|
| D | stats_ops.py | 103 def __init__(self, input_dataset, op_function, tag): argument
104 self._input_dataset = input_dataset
111 super(_StatsDataset, self).__init__(input_dataset, variant_tensor)
|
| D | parsing_ops.py | 33 def __init__(self, input_dataset, features, num_parallel_calls): argument
34 self._input_dataset = input_dataset
35 if not input_dataset._element_structure.is_compatible_with( # pylint: disable=protected-access
91 super(_ParseExampleDataset, self).__init__(input_dataset, variant_tensor)
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| /external/tensorflow/tensorflow/python/data/kernel_tests/ |
| D | concatenate_test.py | 44 input_dataset = dataset_ops.Dataset.from_tensor_slices(input_components)
47 concatenated = input_dataset.concatenate(dataset_to_concatenate)
75 input_dataset = dataset_ops.Dataset.from_tensor_slices(input_components)
78 concatenated = input_dataset.concatenate(dataset_to_concatenate)
106 input_dataset = dataset_ops.Dataset.from_tensor_slices(input_components)
111 input_dataset.concatenate(dataset_to_concatenate)
123 input_dataset = dataset_ops.Dataset.from_tensor_slices(input_components)
128 input_dataset.concatenate(dataset_to_concatenate)
138 input_dataset = dataset_ops.Dataset.from_tensor_slices(input_components)
143 input_dataset.concatenate(dataset_to_concatenate)
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| D | dataset_test.py | 145 input_dataset = input_dataset_fn()
146 self.assertEqual([input_dataset], dataset_fn(input_dataset)._inputs())
149 input_dataset = dataset_ops.Dataset.range(0)
151 self.assertEqual([input_dataset], dataset_fn(input_dataset)._inputs())
163 input_dataset = input_dataset_fn()
165 self.assertEqual([input_dataset], dataset_fn(input_dataset)._inputs())
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| /external/tensorflow/tensorflow/python/data/experimental/kernel_tests/ |
| D | tf_record_writer_test.py | 42 input_dataset = readers.TFRecordDataset([filename], compression_type)
44 compression_type).write(input_dataset)
89 input_dataset = dataset_ops.Dataset.from_tensors(10)
91 writers.TFRecordWriter(self._outputFilename(), "").write(input_dataset)
94 input_dataset = dataset_ops.Dataset.from_tensors([["hello"], ["world"]])
96 writers.TFRecordWriter(self._outputFilename(), "").write(input_dataset)
100 input_dataset = readers.TFRecordDataset(self._createFile())
101 return writers.TFRecordWriter(self._outputFilename()).write(input_dataset)
|
| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_ExperimentalDatasetCardinality.pbtxt | 5 name: "input_dataset"
13 The cardinality of `input_dataset`. Named constants are used to represent
17 summary: "Returns the cardinality of `input_dataset`."
19 Returns the cardinality of `input_dataset`.
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| D | api_def_ExperimentalGroupByReducerDataset.pbtxt | 5 name: "input_dataset"
20 A function mapping an element of `input_dataset`, concatenated
48 A function mapping the current reducer state and an element of `input_dataset`,
65 summary: "Creates a dataset that computes a group-by on `input_dataset`."
67 Creates a dataset that computes a group-by on `input_dataset`.
|
| D | api_def_TakeDataset.pbtxt | 7 A scalar representing the number of elements from the `input_dataset`
8 that should be taken. A value of `-1` indicates that all of `input_dataset`
12 summary: "Creates a dataset that contains `count` elements from the `input_dataset`."
|
| D | api_def_OptimizeDataset.pbtxt | 5 name: "input_dataset"
16 summary: "Creates a dataset by applying optimizations to `input_dataset`."
18 Creates a dataset by applying optimizations to `input_dataset`.
|
| D | api_def_DatasetToGraph.pbtxt | 5 name: "input_dataset"
16 summary: "Returns a serialized GraphDef representing `input_dataset`."
18 Returns a graph representation for `input_dataset`.
|
| D | api_def_ExperimentalMapAndBatchDataset.pbtxt | 5 name: "input_dataset"
22 elements from `input_dataset` in parallel.
43 A function to apply to the outputs of `input_dataset`.
48 Creates a dataset that applies `f` to the outputs of `input_dataset` and then
|
| D | api_def_ExperimentalNumaMapAndBatchDataset.pbtxt | 5 name: "input_dataset"
22 elements from `input_dataset` in parallel.
43 A function to apply to the outputs of `input_dataset`.
48 Creates a dataset that applies `f` to the outputs of `input_dataset` and then
|
| /external/tensorflow/tensorflow/contrib/data/python/ops/ |
| D | sliding.py | 30 def __init__(self, input_dataset, window_size, window_shift, window_stride): argument
32 self._input_dataset = input_dataset
40 input_structure = dataset_ops.get_structure(input_dataset)
48 super(_SlideDataset, self).__init__(input_dataset, variant_tensor)
|
| /external/tensorflow/tensorflow/python/data/util/ |
| D | traverse_test.py | 31 def __init__(self, input_dataset): argument
32 self._input_dataset = input_dataset
34 input_dataset._variant_tensor,
39 super(_TestDataset, self).__init__(input_dataset, variant_tensor)
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| /external/tensorflow/tensorflow/core/grappler/optimizers/data/ |
| D | map_vectorization_test.cc | 71 NodeDef* AddMapNode(MutableGraphView* graph, const string& input_dataset, in AddMapNode() argument
79 /*inputs=*/{input_dataset, num_parallel_calls_node->name()}, in AddMapNode()
91 /*inputs=*/{input_dataset}, in AddMapNode()
105 NodeDef* AddPrefetchNode(MutableGraphView* graph, const string& input_dataset, in AddPrefetchNode() argument
110 /*inputs=*/{input_dataset, buffer_size_node->name()}, in AddPrefetchNode()
118 NodeDef* AddBatchNode(MutableGraphView* graph, const string& input_dataset, in AddBatchNode() argument
129 {input_dataset, batch_size_node->name(), drop_remainder->name()}, in AddBatchNode()
136 /*inputs=*/{input_dataset, batch_size_node->name()}, in AddBatchNode()
285 const string& input_dataset, const string& map_fn, in AddMapAndBatchNode() argument
297 {input_dataset, batch_size_node->name(), in AddMapAndBatchNode()
|