| /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/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()
|
| /external/tensorflow/tensorflow/python/keras/applications/ |
| D | inception_v3.py | 166 x = layers.concatenate([branch1x1, branch5x5, branch3x3dbl, branch_pool],
183 x = layers.concatenate([branch1x1, branch5x5, branch3x3dbl, branch_pool],
200 x = layers.concatenate([branch1x1, branch5x5, branch3x3dbl, branch_pool],
213 x = layers.concatenate([branch3x3, branch3x3dbl, branch_pool],
233 x = layers.concatenate([branch1x1, branch7x7, branch7x7dbl, branch_pool],
256 x = layers.concatenate([branch1x1, branch7x7, branch7x7dbl, branch_pool],
276 x = layers.concatenate([branch1x1, branch7x7, branch7x7dbl, branch_pool],
291 x = layers.concatenate([branch3x3, branch7x7x3, branch_pool],
302 branch3x3 = layers.concatenate([branch3x3_1, branch3x3_2],
310 branch3x3dbl = layers.concatenate([branch3x3dbl_1, branch3x3dbl_2],
[all …]
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| /external/tensorflow/tensorflow/python/data/kernel_tests/ |
| D | cardinality_test.py | 55 ("Concatenate1", lambda: dataset_ops.Dataset.range(5).concatenate(
58 lambda: dataset_ops.Dataset.range(5).filter(lambda _: True).concatenate(
61 concatenate(dataset_ops.Dataset.range(5)), dataset_ops.INFINITE),
62 ("Concatenate4", lambda: dataset_ops.Dataset.range(5).concatenate(
66 lambda: dataset_ops.Dataset.range(5).filter(lambda _: True).concatenate(
70 concatenate(dataset_ops.Dataset.range(5).filter(lambda _: True)),
72 ("Concatenate7", lambda: dataset_ops.Dataset.range(5).concatenate(
75 lambda: dataset_ops.Dataset.range(5).filter(lambda _: True).concatenate(
78 lambda: dataset_ops.Dataset.range(5).repeat().concatenate(
|
| D | concatenate_test.py | 48 concatenated = input_dataset.concatenate(dataset_to_concatenate)
80 concatenated = input_dataset.concatenate(dataset_to_concatenate)
114 input_dataset.concatenate(dataset_to_concatenate)
132 input_dataset.concatenate(dataset_to_concatenate)
148 input_dataset.concatenate(dataset_to_concatenate)
|
| /external/llvm-project/polly/lib/CodeGen/ |
| D | IRBuilder.cpp | 89 MDNode::concatenate(AliasScopeList, MDNode::get(Ctx, Args)); in buildAliasScopes()
108 : MDNode::concatenate(ParallelLoops.back(), Id); in pushLoop()
131 MData = MDNode::concatenate(MData, getID(Ctx, MDNode::get(Ctx, Args))); in annotateLoopLatch()
138 MData = MDNode::concatenate(MData, Id); in annotateLoopLatch()
180 SecondLevelAliasScopeMap[BasePtrSCEV] = MDNode::concatenate( in annotateSecondLevel()
183 SecondLevelOtherAliasScopeList = MDNode::concatenate( in annotateSecondLevel()
|
| /external/tensorflow/tensorflow/python/training/ |
| D | checkpoint_ops_test.py | 111 expected_remapped_matrix = np.concatenate(
143 expected_remapped_matrix = np.concatenate(
176 expected_remapped_matrix = np.concatenate(
213 expected_remapped_matrix = np.concatenate(
248 expected_remapped_matrix = np.concatenate(
284 expected_remapped_embeddings = np.concatenate(
329 expected_remapped_embeddings = np.concatenate(
368 expected_remapped_embeddings = np.concatenate(
|
| /external/bouncycastle/repackaged_platform/bcprov/src/main/java/com/android/internal/org/bouncycastle/util/ |
| D | Arrays.java | 862 public static byte[] concatenate(byte[] a, byte[] b) in concatenate() method in Arrays
881 public static short[] concatenate(short[] a, short[] b) in concatenate() method in Arrays
900 public static byte[] concatenate(byte[] a, byte[] b, byte[] c) in concatenate() method in Arrays
904 return concatenate(b, c); in concatenate()
908 return concatenate(a, c); in concatenate()
912 return concatenate(a, b); in concatenate()
923 public static byte[] concatenate(byte[] a, byte[] b, byte[] c, byte[] d) in concatenate() method in Arrays
927 return concatenate(b, c, d); in concatenate()
931 return concatenate(a, c, d); in concatenate()
935 return concatenate(a, b, d); in concatenate()
[all …]
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| /external/bouncycastle/repackaged/bcprov/src/main/java/com/android/org/bouncycastle/util/ |
| D | Arrays.java | 862 public static byte[] concatenate(byte[] a, byte[] b) in concatenate() method in Arrays
881 public static short[] concatenate(short[] a, short[] b) in concatenate() method in Arrays
900 public static byte[] concatenate(byte[] a, byte[] b, byte[] c) in concatenate() method in Arrays
904 return concatenate(b, c); in concatenate()
908 return concatenate(a, c); in concatenate()
912 return concatenate(a, b); in concatenate()
923 public static byte[] concatenate(byte[] a, byte[] b, byte[] c, byte[] d) in concatenate() method in Arrays
927 return concatenate(b, c, d); in concatenate()
931 return concatenate(a, c, d); in concatenate()
935 return concatenate(a, b, d); in concatenate()
[all …]
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| /external/bouncycastle/bcprov/src/main/java/org/bouncycastle/util/ |
| D | Arrays.java | 860 public static byte[] concatenate(byte[] a, byte[] b) in concatenate() method in Arrays
879 public static short[] concatenate(short[] a, short[] b) in concatenate() method in Arrays
898 public static byte[] concatenate(byte[] a, byte[] b, byte[] c) in concatenate() method in Arrays
902 return concatenate(b, c); in concatenate()
906 return concatenate(a, c); in concatenate()
910 return concatenate(a, b); in concatenate()
921 public static byte[] concatenate(byte[] a, byte[] b, byte[] c, byte[] d) in concatenate() method in Arrays
925 return concatenate(b, c, d); in concatenate()
929 return concatenate(a, c, d); in concatenate()
933 return concatenate(a, b, d); in concatenate()
[all …]
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| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | merge_test.py | 178 self.assertAllClose(out, np.concatenate([x1, x2], axis=1), atol=1e-4)
288 keras.layers.concatenate([i1, i2], axis=-1)
290 keras.layers.concatenate(i1, axis=-1)
300 keras.layers.concatenate([i1, i2], axis=-1)
304 keras.layers.concatenate([i1, i3], axis=-1)
307 keras.layers.concatenate([i1, i4], axis=0)
308 keras.layers.concatenate([i2, i4], axis=0)
309 keras.layers.concatenate([i2, i4], axis=1)
310 keras.layers.concatenate([i1, i2, i4], axis=0)
311 keras.layers.concatenate([i1, i5], axis=1)
[all …]
|
| D | merge.py | 146 new_shape = K.concatenate(
172 new_shape = K.concatenate([
217 return K.all(K.concatenate(masks, axis=0), axis=0, keepdims=False)
522 return K.concatenate(inputs, axis=self.axis)
567 concatenated = K.concatenate(masks, axis=self.axis)
900 def concatenate(inputs, axis=-1, **kwargs): function
|
| /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()
|
| /external/tensorflow/tensorflow/python/keras/saving/ |
| D | hdf5_format.py | 373 kernel = np.concatenate([weights[0], weights[3], weights[6]], axis=-1)
374 recurrent_kernel = np.concatenate(
376 bias = np.concatenate([weights[2], weights[5], weights[8]], axis=-1)
383 kernel = np.concatenate(
385 recurrent_kernel = np.concatenate(
387 bias = np.concatenate(
393 kernel = np.concatenate(
395 recurrent_kernel = np.concatenate(
397 bias = np.concatenate(
|
| /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/tensorflow/tensorflow/python/data/experimental/ops/ |
| D | parsing_ops.py | 73 input_dataset_shape.concatenate([None]), value_type)
79 input_dataset_shape.concatenate(dense_shape), value_type)
85 input_dataset_shape.concatenate([None]), value_type, 1, splits_type)
|
| /external/rnnoise/training/ |
| D | rnn_train.py | 14 from keras.layers import concatenate
67 noise_input = keras.layers.concatenate([tmp, vad_gru, main_input])
69 denoise_input = keras.layers.concatenate([vad_gru, noise_gru, main_input])
|
| /external/protobuf/java/core/src/test/java/com/google/protobuf/ |
| D | RopeByteStringTest.java | 126 unicode = RopeByteString.concatenate(unicode, sourceByteString); in testToString()
155 unicode = RopeByteString.concatenate(unicode, sourceByteString); in testCharsetToString()
195 RopeByteString.concatenate( in testToString_raisesException()
|
| D | RopeByteStringSubstringTest.java | 79 unicode = RopeByteString.concatenate(unicode, sourceByteString); in testToString()
112 unicode = RopeByteString.concatenate(unicode, sourceByteString); in testCharsetToString()
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | bincount_op_test.py | 217 np.concatenate(
230 np.concatenate([
248 np.concatenate([
451 np.concatenate(
481 np.concatenate([
575 np.concatenate(
598 np.concatenate([
625 np.concatenate([
|
| /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)
|
| /external/tensorflow/tensorflow/python/ops/ |
| D | bincount_ops_test.py | 529 inp_indices = np.concatenate([inp_indices, np.zeros((n_elems, 1))], axis=1)
549 inp_indices = np.concatenate([inp_indices, np.zeros((n_elems, 1))], axis=1)
574 inp_indices = np.concatenate([inp_indices, np.zeros((n_elems, 1))], axis=1)
596 np.concatenate(
622 np.concatenate([
712 np.concatenate(
733 np.concatenate([
|