| /external/tensorflow/tensorflow/core/kernels/ |
| edit_distance_op.cc | 136 sparse::SparseTensor hypothesis;
137 OP_REQUIRES_OK(ctx, sparse::SparseTensor::Create(
141 sparse::SparseTensor truth;
142 OP_REQUIRES_OK(ctx, sparse::SparseTensor::Create(
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| serialize_sparse_op.cc | 41 using sparse::SparseTensor;
188 "Rank of input SparseTensor should be > 1, but saw rank: ", rank));
193 SparseTensor input_st;
194 OP_REQUIRES_OK(context, SparseTensor::Create(*input_indices, *input_values,
233 "Received unexpected column 0 value in input SparseTensor: ", b,
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| ctc_loss_op.cc | 103 sparse::SparseTensor labels_sp;
105 ctx, sparse::SparseTensor::Create(*labels_indices, *labels_values,
110 errors::InvalidArgument("label SparseTensor is not valid: ",
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| set_kernels.cc | 19 // SparseTensor rather than on edense and one sparse.
42 using ShapeArray = sparse::SparseTensor::ShapeArray;
43 using VarDimArray = sparse::SparseTensor::VarDimArray;
64 // Build `SparseTensor` from indices, values, and shape in inputs
68 sparse::SparseTensor* tensor) {
76 return sparse::SparseTensor::Create(
81 // SparseTensor.group, consider removing.
82 // `sparse_tensor_shape` is the shape of the `SparseTensor` from which group
137 // Output `SparseTensor` of shape `output_shape`. `sets` contains a map of
223 // `SparseTensor` from which group was created, and is used to sanity check th
[all...] |
| /external/tensorflow/tensorflow/python/data/experimental/kernel_tests/serialization/ |
| filter_dataset_serialization_test.py | 54 return sparse_tensor.SparseTensor(
|
| dataset_serialization_test_base.py | 72 sparse_tensors: Whether dataset is built from SparseTensor(s).
508 sparse_tensors: Whether dataset is built from SparseTensor(s).
603 get_next = sparse_tensor.SparseTensor(*iterator.get_next())
619 get_next = sparse_tensor.SparseTensor(*iterator.get_next())
643 if output_class is sparse_tensor.SparseTensor:
654 return init_op, sparse_tensor.SparseTensor(indices, values, dense_shape)
658 if output_class is sparse_tensor.SparseTensor:
662 sparse_tensor.SparseTensor(indices, values, dense_shape))
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| dataset_constructor_serialization_test.py | 80 sparse_components = sparse_tensor.SparseTensor(indices, values, dense_shape)
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| composable_model_test.py | 127 sparse_tensor.SparseTensor(
150 sparse_tensor.SparseTensor(
153 sparse_tensor.SparseTensor(
|
| tensor_signature_test.py | 81 t = sparse_tensor.SparseTensor(
109 tensor = sparse_tensor.SparseTensor(
114 self.assertTrue(isinstance(placeholder, sparse_tensor.SparseTensor))
|
| dnn_test.py | 72 sparse_tensor.SparseTensor(
103 sparse_tensor.SparseTensor(
108 sparse_tensor.SparseTensor(
144 sparse_tensor.SparseTensor(
256 sparse_tensor.SparseTensor(
374 sparse_tensor.SparseTensor(
418 sparse_tensor.SparseTensor(
464 sparse_tensor.SparseTensor(
570 sparse_tensor.SparseTensor(
712 sparse_tensor.SparseTensor(
[all...] |
| state_saving_rnn_estimator_test.py | 166 sparse_tensor.SparseTensor(
208 sparse_tensor.SparseTensor(
253 sparse_tensor.SparseTensor(
291 sparse_tensor.SparseTensor(
310 if isinstance(v, sparse_tensor.SparseTensor):
621 inputs = sparse_tensor.SparseTensor(
|
| svm_test.py | 177 sparse_tensor.SparseTensor(
230 sparse_tensor.SparseTensor(
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| sparse_reorder_op_test.py | 36 return sparse_tensor.SparseTensor(
53 sp_input = sparse_tensor.SparseTensor.from_value(
114 sp_input = sparse_tensor.SparseTensor(input_val.indices,
|
| sparse_tensor_dense_matmul_op_test.py | 75 sparse_tensor.SparseTensor.from_value(sp_x_value),
119 x_st = sparse_tensor.SparseTensor(x_indices, x_values, x_shape)
124 x_st_shape_unknown = sparse_tensor.SparseTensor(x_indices, x_values,
132 x_st_shape_inconsistent = sparse_tensor.SparseTensor(x_indices, x_values,
144 sparse_t = sparse_tensor.SparseTensor(indices, values, shape)
179 sparse_t = sparse_tensor.SparseTensor(indices, values, shape)
286 sp_x = sparse_tensor.SparseTensor(
|
| sparse_reshape_op_test.py | 34 return sparse_tensor.SparseTensor(
55 sp_input = sparse_tensor.SparseTensor.from_value(
62 sp_input = sparse_tensor.SparseTensor.from_value(
70 sp_input = sparse_tensor.SparseTensor.from_value(
77 sp_input = sparse_tensor.SparseTensor.from_value(
237 sp_input = sparse_tensor.SparseTensor.from_value(input_val)
|
| edit_distance_op_test.py | 83 # SparseTensor inputs.
87 hypothesis_st=sparse_tensor.SparseTensor(
89 truth_st=sparse_tensor.SparseTensor(*[ConstantOf(x) for x in truth]),
127 # SparseTensor (type DT_STRING)
|
| /external/tensorflow/tensorflow/python/ops/ |
| sparse_ops_test.py | 77 before_t = sparse_tensor.SparseTensor(
94 st = sparse_tensor.SparseTensor(
107 st = sparse_tensor.SparseTensor(
|
| /external/tensorflow/tensorflow/python/feature_column/ |
| feature_column_test.py | 176 builder = _LazyBuilder(features={'a': sparse_tensor.SparseTensor(
336 sparse_tensor.SparseTensor(
539 sparse_tensor.SparseTensor(
747 wire_tensor = sparse_tensor.SparseTensor(
769 int_tensor = sparse_tensor.SparseTensor(
773 string_tensor = sparse_tensor.SparseTensor(
777 float_tensor = sparse_tensor.SparseTensor(
[all...] |
| feature_column_v2_test.py | 228 sparse_tensor.SparseTensor(
399 sparse_tensor.SparseTensor(
648 sparse_tensor.SparseTensor(
[all...] |
| /external/tensorflow/tensorflow/contrib/layers/python/ops/ |
| sparse_ops_test.py | 159 sparse_input = sparse_tensor.SparseTensor(
171 sparse_input = sparse_tensor.SparseTensor(
183 sparse_input = sparse_tensor.SparseTensor(
195 sparse_input = sparse_tensor.SparseTensor(
|
| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| batch_sequences_with_states_test.py | 53 sp_tensor1 = sparse_tensor.SparseTensor(
68 sp_tensor2 = sparse_tensor.SparseTensor(
72 sp_tensor3 = sparse_tensor.SparseTensor(
553 sp_tensor1 = sparse_tensor.SparseTensor(
557 sp_tensor2 = sparse_tensor.SparseTensor(
562 sp_tensor1_expected = sparse_tensor.SparseTensor(
566 sp_tensor2_expected = sparse_tensor.SparseTensor(
596 sparse_tensor_1 = sparse_tensor.SparseTensor(
604 sparse_tensor_2 = sparse_tensor.SparseTensor(
|
| /external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
| factorization_ops_test_utils.py | 65 """Simple util to slice non-zero np matrix elements as tf.SparseTensor."""
95 return sparse_tensor.SparseTensor(ind, val, shape)
107 input_mat: The input matrix, a SparseTensor of rank 2.
132 sp_approx = sparse_tensor.SparseTensor(
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/python/ |
| tensor_forest_test.py | 159 input_data = sparse_tensor.SparseTensor(
177 input_data = sparse_tensor.SparseTensor(
|
| /external/tensorflow/tensorflow/examples/saved_model/integration_tests/ |
| export_text_rnn_model.py | 83 tokens_sparse = tf.sparse.SparseTensor(
87 sparse_lookup_ids = tf.sparse.SparseTensor(
|
| /external/tensorflow/tensorflow/python/framework/ |
| auto_control_deps.py | 139 elif isinstance(tensor, sparse_tensor.SparseTensor):
144 return sparse_tensor.SparseTensor(
|
