| /external/tensorflow/tensorflow/python/kernel_tests/ |
| logging_ops_test.py | 237 sparse = sparse_tensor.SparseTensor(
245 expected = ("'SparseTensor(indices=[[0 0]\n"
261 sparse = sparse_tensor.SparseTensor(
269 expected = ("['SparseTensor(indices=[[0 0]\n"
|
| map_fn_test.py | 75 sparse_tensor.SparseTensor(
|
| cwise_ops_unary_test.py | 42 # SparseTensor gen funcs.
51 return sparse_tensor.SparseTensor(
122 self.assertTrue(isinstance(result_tensor, sparse_tensor.SparseTensor))
123 self.assertTrue(isinstance(input_sp_t, sparse_tensor.SparseTensor))
|
| sparse_cross_op_test.py | 385 """Generates a SparseTensor.
395 A SparseTensor.
408 return sparse_tensor.SparseTensor(
|
| ctc_loss_op_test.py | 40 """Create a very simple SparseTensor with dimensions (batch, time).
46 x_ix and x_val, the indices and values of the SparseTensor<2>.
59 return sparse_tensor.SparseTensor(x_ix, x_val, x_shape)
295 labels = sparse_tensor.SparseTensor(
|
| parse_single_example_op_test.py | 63 """Flatten each SparseTensor object into 3 Tensors for session.run()."""
66 v, sparse_tensor.SparseTensor) else [v] for v in tensors_list]))
77 if isinstance(v, sparse_tensor.SparseTensor):
78 # Three outputs for SparseTensor : indices, values, shape.
[all...] |
| unicode_decode_op_test.py | 191 self.assertIsInstance(result, sparse_tensor.SparseTensor)
531 self.assertIsInstance(result, sparse_tensor.SparseTensor)
|
| /external/tensorflow/tensorflow/python/ops/ |
| array_ops.py | 305 input: A `Tensor` or `SparseTensor`.
321 input: A `Tensor` or `SparseTensor`.
332 if isinstance(input, (sparse_tensor.SparseTensor,
387 input: A `Tensor` or `SparseTensor`.
407 input: A `Tensor` or `SparseTensor`.
417 input, (sparse_tensor.SparseTensor, sparse_tensor.SparseTensorValue)):
423 if isinstance(input, (sparse_tensor.SparseTensor,
459 input: A `Tensor` or `SparseTensor`.
477 input: A `Tensor` or `SparseTensor`.
485 if isinstance(input, (sparse_tensor.SparseTensor,
[all...] |
| array_grad.py | 777 sp_mat_full = sparse_tensor.SparseTensor(
841 sp_mat_full = sparse_tensor.SparseTensor(
[all...] |
| control_flow_ops.py | [all...] |
| /external/tensorflow/tensorflow/contrib/boosted_trees/python/training/functions/ |
| gbdt_batch.py | 233 tensor = sparse_tensor.SparseTensor(
236 if isinstance(tensor, sparse_tensor.SparseTensor):
766 sparse_float_column=sparse_tensor.SparseTensor(
[all...] |
| gbdt_batch_test.py | 92 features["sparse_float"] = sparse_tensor.SparseTensor(
96 features["sparse_int"] = sparse_tensor.SparseTensor(
134 features["sparse_float"] = sparse_tensor.SparseTensor(
138 features["sparse_categorical"] = sparse_tensor.SparseTensor(
186 features["sparse_categorical"] = sparse_tensor.SparseTensor(
488 features["sparse_float"] = sparse_tensor.SparseTensor(
[all...] |
| /external/tensorflow/tensorflow/contrib/framework/python/framework/ |
| tensor_util.py | 248 if isinstance(tensor, sparse_tensor.SparseTensor):
249 raise ValueError('SparseTensor not supported.')
|
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
| sdca_estimator.py | 59 if isinstance(column, sparse_tensor.SparseTensor):
329 `value` is a `SparseTensor`
334 Both features' `value` must be a `SparseTensor`
459 `value` is a `SparseTensor`
464 Both features' `value` must be a `SparseTensor`
|
| /external/tensorflow/tensorflow/contrib/slim/python/slim/data/ |
| tfexample_decoder_test.py | 515 'labels': tfexample_decoder.SparseTensor(),
547 'labels': tfexample_decoder.SparseTensor(shape_key='shape'),
577 'labels': tfexample_decoder.SparseTensor(shape=np_shape),
609 tfexample_decoder.SparseTensor(shape=np_shape, densify=True),
[all...] |
| /external/tensorflow/tensorflow/python/ops/ragged/ |
| ragged_map_fn_op_test.py | 284 s = sparse_tensor.SparseTensor(
|
| ragged_map_ops.py | 68 To apply a functional operation to the nonzero elements of a SparseTensor
73 result = SparseTensor(input.indices, fn(input.values), input.dense_shape)
79 result = SparseTensor(
131 `fn` and `dtype` do not match, or if elems is a SparseTensor.
171 if isinstance(elems, sparse_tensor.SparseTensor):
174 " SparseTensor(input.indices, fn(input.values), input.dense_shape) or "
175 " SparseTensor(input.indices, map_fn(fn, input.values), "
|
| /external/tensorflow/tensorflow/python/feature_column/ |
| sequence_feature_column_test.py | 540 'price1': sparse_tensor.SparseTensor(
548 'price2': sparse_tensor.SparseTensor(
[all...] |
| feature_column_v2.py | 453 key in this dict. Values can be a `SparseTensor` or a `Tensor` depends
585 `indicator_column`s. To be specific, assume the input as `SparseTensor` looks
695 key in this dict. Values are `Tensor` or `SparseTensor` depending on
738 this dict. Values can be a `SparseTensor` or a `Tensor` depends on
744 A `dict` mapping `FeatureColumn` to `Tensor` and `SparseTensor` values.
[all...] |
| /external/tensorflow/tensorflow/contrib/layers/python/kernel_tests/ |
| sparse_feature_cross_op_test.py | 407 """Generates a SparseTensor.
417 A SparseTensor.
430 return sparse_tensor.SparseTensor(
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| state_saving_rnn_estimator.py | 144 `SparseTensor` of rank 2, the `features` argument of a TF.Learn model_fn.
339 `SparseTensor`, with `Tensor`s of shape `[batch_size, num_unroll, ...]`
362 if isinstance(feature, sparse_tensor.SparseTensor):
|
| dynamic_rnn_estimator_test.py | 130 sparse_tensor.SparseTensor(
135 sparse_tensor.SparseTensor(
|
| /external/tensorflow/tensorflow/contrib/lookup/ |
| lookup_ops_test.py | 173 input_tensor = sparse_tensor.SparseTensor(
[all...] |
| /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
| estimator_test.py | 640 features_dict["word"] = sparse_tensor.SparseTensor(
645 features_dict["weight"] = sparse_tensor.SparseTensor(
|
| /external/tensorflow/tensorflow/python/tpu/ |
| tpu_embedding.py | 235 sparse_features['watched'] = sparse_tensor.SparseTensor(...)
236 sparse_features['favorited'] = sparse_tensor.SparseTensor(...)
237 sparse_features['friends'] = sparse_tensor.SparseTensor(...)
620 if not isinstance(tensor, sparse_tensor.SparseTensor) and combiner:
622 'not mapped to `SparseTensor` and has a combiner. '
678 if not isinstance(tensor, sparse_tensor.SparseTensor):
[all...] |
