| /external/eigen/unsupported/test/ |
| D | cxx11_tensor_concatenation.cpp | 25 Tensor<int, 3, DataLayout> concatenation = left.concatenate(right, 0); in test_dimension_failures()
28 VERIFY_RAISES_ASSERT(concatenation = left.concatenate(right, 1)); in test_dimension_failures()
29 VERIFY_RAISES_ASSERT(concatenation = left.concatenate(right, 2)); in test_dimension_failures()
32 VERIFY_RAISES_ASSERT(concatenation = left.concatenate(right, 3)); in test_dimension_failures()
33 VERIFY_RAISES_ASSERT(concatenation = left.concatenate(right, -1)); in test_dimension_failures()
45 Tensor<int, 3, DataLayout> concatenation = left.concatenate(right, 0); in test_static_dimension_failure()
51 .concatenate(right, 0); in test_static_dimension_failure()
53 .concatenate(right.reshape(Tensor<int, 2>::Dimensions{{{2, 3}}}), 0); in test_static_dimension_failure()
64 Tensor<int, 3, DataLayout> concatenation = left.concatenate(right, 0); in test_simple_concatenation()
77 concatenation = left.concatenate(right, 1); in test_simple_concatenation()
[all …]
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| /external/tensorflow/tensorflow/python/data/experimental/kernel_tests/ |
| D | cardinality_test.py | 46 ("Concatenate1", lambda: dataset_ops.Dataset.range(5).concatenate(
49 lambda: dataset_ops.Dataset.range(5).filter(lambda _: True).concatenate(
52 concatenate(dataset_ops.Dataset.range(5)), cardinality.INFINITE),
53 ("Concatenate4", lambda: dataset_ops.Dataset.range(5).concatenate(
57 lambda: dataset_ops.Dataset.range(5).filter(lambda _: True).concatenate(
61 concatenate(dataset_ops.Dataset.range(5).filter(lambda _: True)),
63 ("Concatenate7", lambda: dataset_ops.Dataset.range(5).concatenate(
66 lambda: dataset_ops.Dataset.range(5).filter(lambda _: True).concatenate(
69 lambda: dataset_ops.Dataset.range(5).repeat().concatenate(
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| /external/nist-sip/java/gov/nist/javax/sip/header/ |
| D | SIPObjectList.java | 102 public void concatenate(SIPObjectList otherList) { in concatenate() method in SIPObjectList
103 super.concatenate(otherList); in concatenate()
111 public void concatenate(SIPObjectList otherList, boolean topFlag) { in concatenate() method in SIPObjectList
112 super.concatenate(otherList, topFlag); in concatenate()
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| /external/tensorflow/tensorflow/python/training/ |
| D | checkpoint_ops_test.py | 109 expected_remapped_matrix = np.concatenate(
141 expected_remapped_matrix = np.concatenate(
175 expected_remapped_matrix = np.concatenate(
213 expected_remapped_matrix = np.concatenate(
249 expected_remapped_matrix = np.concatenate(
286 expected_remapped_embeddings = np.concatenate(
331 expected_remapped_embeddings = np.concatenate(
370 expected_remapped_embeddings = np.concatenate(
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| /external/tensorflow/tensorflow/python/data/kernel_tests/ |
| D | concatenate_test.py | 47 concatenated = input_dataset.concatenate(dataset_to_concatenate)
78 concatenated = input_dataset.concatenate(dataset_to_concatenate)
111 input_dataset.concatenate(dataset_to_concatenate)
128 input_dataset.concatenate(dataset_to_concatenate)
143 input_dataset.concatenate(dataset_to_concatenate)
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| /external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
| D | factorization_ops_test_utils.py | 72 selected_ind = np.concatenate(
77 selected_ind = np.concatenate(
86 ind = (np.concatenate((np.expand_dims(indices[1], 1),
88 transpose else np.concatenate((np.expand_dims(indices[0], 1),
|
| /external/bouncycastle/bcprov/src/main/java/org/bouncycastle/util/ |
| D | Arrays.java | 1042 public static byte[] concatenate(byte[] a, byte[] b) in concatenate() method in Arrays
1063 public static byte[] concatenate(byte[] a, byte[] b, byte[] c) in concatenate() method in Arrays
1077 return concatenate(b, c); in concatenate()
1081 return concatenate(a, c); in concatenate()
1085 return concatenate(a, b); in concatenate()
1089 public static byte[] concatenate(byte[] a, byte[] b, byte[] c, byte[] d) in concatenate() method in Arrays
1104 return concatenate(a, b, c); in concatenate()
1108 return concatenate(a, b, d); in concatenate()
1112 return concatenate(a, c, d); in concatenate()
1116 return concatenate(b, c, d); in concatenate()
[all …]
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| /external/bouncycastle/repackaged/bcprov/src/main/java/com/android/org/bouncycastle/util/ |
| D | Arrays.java | 1044 public static byte[] concatenate(byte[] a, byte[] b) in concatenate() method in Arrays
1065 public static byte[] concatenate(byte[] a, byte[] b, byte[] c) in concatenate() method in Arrays
1079 return concatenate(b, c); in concatenate()
1083 return concatenate(a, c); in concatenate()
1087 return concatenate(a, b); in concatenate()
1091 public static byte[] concatenate(byte[] a, byte[] b, byte[] c, byte[] d) in concatenate() method in Arrays
1106 return concatenate(a, b, c); in concatenate()
1110 return concatenate(a, b, d); in concatenate()
1114 return concatenate(a, c, d); in concatenate()
1118 return concatenate(b, c, d); in concatenate()
[all …]
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| /external/tensorflow/tensorflow/python/keras/saving/ |
| D | hdf5_format.py | 419 kernel = np.concatenate([weights[0], weights[3], weights[6]], axis=-1)
420 recurrent_kernel = np.concatenate(
422 bias = np.concatenate([weights[2], weights[5], weights[8]], axis=-1)
429 kernel = np.concatenate(
431 recurrent_kernel = np.concatenate(
433 bias = np.concatenate(
439 kernel = np.concatenate(
441 recurrent_kernel = np.concatenate(
443 bias = np.concatenate(
|
| /external/tensorflow/tensorflow/contrib/timeseries/examples/ |
| D | predict.py | 92 mean = np.squeeze(np.concatenate(
94 variance = np.squeeze(np.concatenate(
96 all_times = np.concatenate([times, predictions["times"]], axis=0)
|
| D | known_anomaly.py | 129 mean = np.squeeze(np.concatenate(
131 variance = np.squeeze(np.concatenate(
133 all_times = np.concatenate([times, predictions["times"]], axis=0)
|
| /external/nist-sip/java/gov/nist/javax/sip/address/ |
| D | NetObjectList.java | 96 public void concatenate(NetObjectList net_obj_list) { in concatenate() method in NetObjectList
97 super.concatenate(net_obj_list); in concatenate()
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| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| D | autoregressive_test.py | 57 batch_event_shape = np.concatenate([batch_shape, [event_size]], axis=0)
71 batch_event_shape = np.concatenate([batch_shape, [event_size]], axis=0)
86 x_shape = np.concatenate(
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| D | vector_student_t_test.py | 64 return np.concatenate([
112 scale_tril = np.concatenate([[np.diag(scale_diag[i])]
141 scale_tril = np.concatenate([[np.diag(scale_diag[i])]
174 scale_tril = np.concatenate([[np.diag(scale_diag[i])]
205 scale_tril = np.concatenate([[np.diag(scale_diag[i])]
|
| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_Concat.pbtxt | 7 0-D. The dimension along which to concatenate. Must be in the
14 The `N` Tensors to concatenate. Their ranks and types must match,
|
| D | api_def_ConcatV2.pbtxt | 9 List of `N` Tensors to concatenate. Their ranks and types must match,
16 0-D. The dimension along which to concatenate. Must be in the
|
| D | api_def_QuantizedConcat.pbtxt | 6 0-D. The dimension along which to concatenate. Must be in the
13 The `N` Tensors to concatenate. Their ranks and types must match,
|
| D | api_def_AllToAll.pbtxt | 33 The dimension number to concatenate.
53 receiving `split_count` - 1 blocks from other replicas, we concatenate the
|
| /external/protobuf/java/core/src/test/java/com/google/protobuf/ |
| D | RopeByteStringTest.java | 106 unicode = RopeByteString.concatenate(unicode, sourceByteString); in testToString()
132 unicode = RopeByteString.concatenate(unicode, sourceByteString); in testCharsetToString()
167 ByteString byteString = RopeByteString.concatenate(ByteString.copyFromUtf8("foo"), in testToString_raisesException()
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| D | RopeByteStringSubstringTest.java | 79 unicode = RopeByteString.concatenate(unicode, sourceByteString); in testToString()
109 unicode = RopeByteString.concatenate(unicode, sourceByteString); in testCharsetToString()
|
| /external/toolchain-utils/cros_utils/ |
| D | pstat.py | 760 source = N.concatenate((source, addon), 1)
963 return N.concatenate(
967 return N.concatenate(
1023 uniques = N.concatenate([uniques, N.array[N.newaxis, :]])
1025 uniques = N.concatenate([uniques, N.array([item])])
1031 uniques = N.concatenate([uniques, item[N.newaxis, :]])
1033 uniques = N.concatenate([uniques, N.array([item])])
1046 uniques = N.concatenate([uniques, item[N.newaxis, :]])
1048 uniques = N.concatenate([uniques, N.array([item])])
|
| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | merge.py | 145 new_shape = K.concatenate(
171 new_shape = K.concatenate([
218 return K.all(K.concatenate(masks, axis=0), axis=0, keepdims=False)
395 return K.concatenate(inputs, axis=self.axis)
436 concatenated = K.concatenate(masks, axis=self.axis)
677 def concatenate(inputs, axis=-1, **kwargs): function
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| /external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/ |
| D | softmax_centered.py | 113 shape = x.shape[:-1].concatenate(x.shape.dims[-1] + 1)
138 shape = y.shape[:-1].concatenate(y.shape.dims[-1] - 1)
|
| /external/tensorflow/tensorflow/python/keras/datasets/ |
| D | imdb.py | 100 xs = np.concatenate([x_train, x_test])
101 labels = np.concatenate([labels_train, labels_test])
|
| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | partial_batch_padding_handler.py | 60 mask = K.concatenate([array_ops.ones(original_batch_size),
62 return K.concatenate([padding_mask, mask], axis=0)
|