| /external/tensorflow/tensorflow/python/ops/ragged/ |
| D | ragged_ops.py | 31 from tensorflow.python.ops.ragged import ragged_array_ops
32 from tensorflow.python.ops.ragged import ragged_batch_gather_ops
33 from tensorflow.python.ops.ragged import ragged_batch_gather_with_default_op
34 from tensorflow.python.ops.ragged import ragged_concat_ops
35 from tensorflow.python.ops.ragged import ragged_conversion_ops
36 from tensorflow.python.ops.ragged import ragged_dispatch
37 from tensorflow.python.ops.ragged import ragged_factory_ops
38 from tensorflow.python.ops.ragged import ragged_functional_ops
39 from tensorflow.python.ops.ragged import ragged_gather_ops
40 from tensorflow.python.ops.ragged import ragged_getitem
[all …]
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| D | ragged_batch_gather_with_default_op.py | 27 from tensorflow.python.ops.ragged import ragged_array_ops
28 from tensorflow.python.ops.ragged import ragged_dispatch # pylint: disable=unused-import
29 from tensorflow.python.ops.ragged import ragged_operators # pylint: disable=unused-import
30 from tensorflow.python.ops.ragged import ragged_tensor
31 from tensorflow.python.ops.ragged import ragged_tensor_shape
32 from tensorflow.python.ops.ragged import ragged_where_op
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| D | ragged_where_op.py | 24 from tensorflow.python.ops.ragged import ragged_concat_ops
25 from tensorflow.python.ops.ragged import ragged_functional_ops
26 from tensorflow.python.ops.ragged import ragged_gather_ops
27 from tensorflow.python.ops.ragged import ragged_tensor
28 from tensorflow.python.ops.ragged import ragged_tensor_shape
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| D | ragged_functional_ops.py | 25 from tensorflow.python.ops.ragged import ragged_config
26 from tensorflow.python.ops.ragged import ragged_tensor
27 from tensorflow.python.ops.ragged import ragged_util
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| D | ragged_dispatch.py | 38 from tensorflow.python.ops.ragged import ragged_array_ops
39 from tensorflow.python.ops.ragged import ragged_batch_gather_ops
40 from tensorflow.python.ops.ragged import ragged_concat_ops
41 from tensorflow.python.ops.ragged import ragged_gather_ops
42 from tensorflow.python.ops.ragged import ragged_math_ops
43 from tensorflow.python.ops.ragged import ragged_squeeze_op
44 from tensorflow.python.ops.ragged import ragged_string_ops
45 from tensorflow.python.ops.ragged import ragged_tensor
46 from tensorflow.python.ops.ragged import ragged_tensor_shape
47 from tensorflow.python.ops.ragged import ragged_util
[all …]
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| D | ragged_size_op_test.py | 24 from tensorflow.python.ops.ragged import ragged_array_ops
25 from tensorflow.python.ops.ragged import ragged_factory_ops
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| D | ragged_squeeze_op_test.py | 27 from tensorflow.python.ops.ragged import ragged_conversion_ops
28 from tensorflow.python.ops.ragged import ragged_factory_ops
29 from tensorflow.python.ops.ragged import ragged_squeeze_op
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| D | ragged_rank_op_test.py | 23 from tensorflow.python.ops.ragged import ragged_array_ops
24 from tensorflow.python.ops.ragged import ragged_factory_ops
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| /external/tensorflow/tensorflow/python/ops/structured/ |
| D | BUILD | 46 "//tensorflow/python/ops/ragged:ragged_factory_ops",
47 "//tensorflow/python/ops/ragged:ragged_tensor",
48 "//tensorflow/python/ops/ragged:row_partition",
73 "//tensorflow/python/ops/ragged:ragged_factory_ops",
74 "//tensorflow/python/ops/ragged:ragged_tensor",
75 "//tensorflow/python/ops/ragged:row_partition",
98 "//tensorflow/python/ops/ragged:ragged_factory_ops",
99 "//tensorflow/python/ops/ragged:ragged_tensor",
100 "//tensorflow/python/ops/ragged:row_partition",
116 "//tensorflow/python/ops/ragged:ragged_factory_ops",
[all …]
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_StringNGrams.pbtxt | 6 The values tensor of the ragged string tensor to make ngrams out of. Must be a
13 The splits tensor of the ragged string tensor to make ngrams out of.
19 The values tensor of the output ngrams ragged tensor.
25 The splits tensor of the output ngrams ragged tensor.
63 summary: "Creates ngrams from ragged string data."
65 This op accepts a ragged tensor with 1 ragged dimension containing only
66 strings and outputs a ragged tensor with 1 ragged dimension containing ngrams
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| D | api_def_RaggedTensorToTensor.pbtxt | 8 * "ROW_SPLITS": the row_splits tensor from the ragged tensor.
9 * "VALUE_ROWIDS": the value_rowids tensor from the ragged tensor.
19 the minimal shape required to contain all the elements in the ragged tensor
43 A 1D tensor representing the values of the ragged tensor.
49 The default_value when the shape is larger than the ragged tensor. The
51 then overwritten by values in the ragged tensor. The default value must be
61 Create a dense tensor from a ragged tensor, possibly altering its shape.
66 minimal shape required to contain all the elements in the ragged tensor (the
71 from the ragged tensor overwrite the default values. Note that the default_value
76 * "ROW_SPLITS": the row_splits tensor from the ragged tensor.
[all …]
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| D | api_def_RaggedGather.pbtxt | 40 The ragged rank of the `params` RaggedTensor. `params_nested_splits` should
48 The ragged rank of the output RaggedTensor. `output_nested_splits` will contain
54 Gather ragged slices from `params` axis `0` according to `indices`.
69 ragged.from_nested_row_splits(params_dense_values, params_nested_splits)`
74 ragged.from_nested_row_splits(output_dense_values, output_nested_splits)`
78 `tf.ragged.gather` op, which also supports ragged indices.)
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| D | api_def_RaggedTensorToSparse.pbtxt | 29 The ragged rank of the input RaggedTensor. `rt_nested_splits` should contain
30 this number of ragged-splits tensors. This value should equal
38 input=ragged.from_nested_row_splits(rt_dense_values, rt_nested_splits)
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| D | api_def_RaggedCross.pbtxt | 40 this string specifies the type of the `i`th input, and is one of: 'R' (ragged),
42 values are combined in the order of the inputs from the call to tf.ragged.cross.
47 RaggedTensor. See `tf.ragged.cross` for more details.
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| D | api_def_ParseSequenceExampleV2.pbtxt | 56 The keys expected in the FeatureLists associated with ragged values.
122 RaggedTensor.value dtypes for the ragged context features.
128 RaggedTensor.row_split dtypes for the ragged context features.
134 RaggedTensor.value dtypes for the ragged FeatureList features.
140 RaggedTensor.row_split dtypes for the ragged FeatureList features.
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| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | input_layer.py | 108 ragged=None, argument
115 self._init_ragged = ragged
138 if sparse and ragged:
157 self.ragged = True if ragged else False
184 self.ragged = True
203 ragged=ragged)
246 'ragged': self.ragged,
264 ragged=None, argument
357 if sparse and ragged:
362 'ragged': ragged, 'input_tensor': tensor,
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| D | ragged_keras_tensor_test.py | 32 from tensorflow.python.ops.ragged import ragged_factory_ops
33 from tensorflow.python.ops.ragged import ragged_tensor
55 inp = layers.Input(shape=shape, batch_size=batch_size, ragged=True)
64 inp = layers.Input(shape=[None], ragged=True)
72 inp = layers.Input(shape=[None], ragged=True)
80 inp = layers.Input(shape=[None], ragged=True)
88 inp = layers.Input(shape=[None], ragged=True)
102 inp = layers.Input(shape=[None], ragged=True)
156 inp = layers.Input(shape=[None], ragged=True)
336 inp = layers.Input(shape=[None], ragged=False)
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| D | base_layer_utils_test.py | 32 from tensorflow.python.ops.ragged import ragged_factory_ops
33 from tensorflow.python.ops.ragged import ragged_tensor
100 int_values = keras.Input(shape=(None,), dtype=dtypes.int32, ragged=True)
114 int_values = keras.Input(shape=(None,), dtype=dtypes.int32, ragged=True)
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| /external/tensorflow/tensorflow/python/keras/layers/preprocessing/ |
| D | reduction_test.py | 28 from tensorflow.python.ops.ragged import ragged_factory_ops
60 input_tensor = keras.Input(shape=(None, None), ragged=True)
98 input_tensor = keras.Input(shape=(None, None), ragged=True)
102 weight_input_tensor = keras.Input(shape=(None, None), ragged=True)
114 input_tensor = keras.Input(shape=(None, None), ragged=True)
117 weight_input_tensor = keras.Input(shape=(None,), ragged=True)
221 input_tensor = keras.Input(shape=(None, None), ragged=True)
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| D | BUILD | 64 "//tensorflow/python/ops/ragged:ragged_functional_ops",
86 "//tensorflow/python/ops/ragged:ragged_array_ops",
87 "//tensorflow/python/ops/ragged:ragged_tensor",
111 "//tensorflow/python/ops/ragged:ragged_tensor",
223 "//tensorflow/python/ops/ragged:ragged_functional_ops",
224 "//tensorflow/python/ops/ragged:ragged_tensor",
251 "//tensorflow/python/ops/ragged:ragged_functional_ops",
252 "//tensorflow/python/ops/ragged:ragged_string_ops",
280 "//tensorflow/python/ops/ragged:ragged_tensor",
365 "//tensorflow/python/ops/ragged:ragged_factory_ops",
[all …]
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| D | category_crossing_test.py | 35 from tensorflow.python.ops.ragged import ragged_factory_ops
36 from tensorflow.python.ops.ragged import ragged_tensor
131 inp_0_t = input_layer.Input(shape=(None,), ragged=True, dtype=dtypes.string)
132 inp_1_t = input_layer.Input(shape=(None,), ragged=True, dtype=dtypes.string)
150 inp_0_t = input_layer.Input(shape=(None,), ragged=True, dtype=dtypes.string)
151 inp_1_t = input_layer.Input(shape=(None,), ragged=True, dtype=dtypes.string)
163 inp_0_t = input_layer.Input(shape=(None,), ragged=True, dtype=dtypes.string)
164 inp_1_t = input_layer.Input(shape=(None,), ragged=True, dtype=dtypes.string)
165 inp_2_t = input_layer.Input(shape=(None,), ragged=True, dtype=dtypes.string)
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| /external/tensorflow/tensorflow/python/data/util/ |
| D | BUILD | 32 "//tensorflow/python/ops/ragged",
84 "//tensorflow/python/ops/ragged",
111 "//tensorflow/python/ops/ragged:ragged_factory_ops",
112 "//tensorflow/python/ops/ragged:ragged_tensor",
113 "//tensorflow/python/ops/ragged:ragged_tensor_value",
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| /external/tensorflow/tensorflow/core/util/ |
| D | example_proto_fast_parsing.cc | 590 std::vector<int64> ragged_feature_last_example(config.ragged.size(), -1); in FastParseSerializedExample()
624 : (is_ragged ? config.ragged[d].feature_name in FastParseSerializedExample()
806 is_ragged ? config.ragged[d].dtype : config.sparse[d].dtype; in FastParseSerializedExample()
921 for (size_t d = 0; d < config.ragged.size(); ++d) { in FastParseSerializedExample()
960 for (auto& c : config.ragged) { in CheckConfigDataTypes()
1127 config.dense.size() + config.sparse.size() + config.ragged.size(); in FastParseExample()
1141 for (size_t d = 0; d < config.ragged.size(); ++d) { in FastParseExample()
1142 ok &= config_index.InsertUnique(hasher(config.ragged[d].feature_name), in FastParseExample()
1215 ragged_buffers[minibatch].resize(config.ragged.size()); in FastParseExample()
1243 result->ragged_values.reserve(config.ragged.size()); in FastParseExample()
[all …]
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| /external/tensorflow/tensorflow/python/keras/utils/ |
| D | BUILD | 181 "//tensorflow/python/ops/ragged:ragged_tensor",
182 "//tensorflow/python/ops/ragged:ragged_util",
364 "//tensorflow/python/ops/ragged:ragged_tensor",
484 "//tensorflow/python/ops/ragged:ragged_factory_ops",
485 "//tensorflow/python/ops/ragged:ragged_tensor",
504 "//tensorflow/python/ops/ragged:ragged_array_ops",
505 "//tensorflow/python/ops/ragged:ragged_concat_ops",
506 "//tensorflow/python/ops/ragged:ragged_factory_ops",
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| /external/tflite-support/tensorflow_lite_support/custom_ops/kernel/ |
| D | ngrams_test.py | 112 input_tensor = tf.ragged.constant(test_case).to_tensor()
132 input_tensor = tf.ragged.constant(test_case).to_tensor()
151 input_tensor = tf.ragged.constant(test_case)
182 input_tensor = tf.ragged.constant(test_case)
214 input_tensor = tf.ragged.constant(test_case)
239 input_tensor = tf.ragged.constant(test_case)
|