Home
last modified time | relevance | path

Searched refs:normalization (Results 1 – 25 of 178) sorted by relevance

12345678

/external/tensorflow/tensorflow/contrib/layers/python/layers/
Dnormalization_test.py24 from tensorflow.contrib.layers.python.layers import normalization
37 normalization.instance_norm(inputs)
43 normalization.instance_norm(inputs, data_format='NHCW')
48 normalization.instance_norm(inputs, data_format='NCHW')
53 normalization.instance_norm(inputs, data_format='NHWC')
58 output = normalization.instance_norm(images)
68 output = normalization.instance_norm(images)
77 output = normalization.instance_norm(images, center=False, scale=False)
87 normalization.instance_norm(images, center=True, scale=True)
96 normalization.instance_norm(images, scale=True, scope='IN')
[all …]
/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/bijectors/
Dbatch_normalization_test.py29 from tensorflow.python.layers import normalization
76 layer = normalization.BatchNormalization(
180 layer = normalization.BatchNormalization(epsilon=0.)
200 layer = normalization.BatchNormalization(epsilon=0.)
219 layer = normalization.BatchNormalization(epsilon=0.)
/external/icu/icu4c/source/data/coll/
Dsi.txt8 "[normalization on]"
17 "[normalization on]"
Dbn.txt8 "[normalization on]"
16 "[normalization on]"
Dkn.txt8 "[normalization on]"
16 "[normalization on]"
Dvi.txt8 "[normalization on]"
20 "[normalization on]"
Del.txt8 "[normalization on]"
Dmy.txt8 "[normalization on]"
/external/tensorflow/tensorflow/compiler/xla/service/
Dbfloat16_normalization.h64 BFloat16Normalization normalization(&no_mixed_precision_support_); in Run()
65 return normalization.Run(module); in Run()
/external/tcpdump/
D.gitattributes1 # manage core stuff for LF normalization
4 # Auto detect text files and perform LF normalization
/external/libxml2/result/
Datt5.rdr5 1 8 #comment 0 1 no normalization
56 1 8 #comment 0 1 normalization
Datt5.rde5 1 8 #comment 0 1 no normalization
56 1 8 #comment 0 1 normalization
/external/tensorflow/tensorflow/python/keras/layers/
Dnormalization_test.py29 from tensorflow.python.keras.layers import normalization
134 normalization.BatchNormalization, dtype='float32')
141 normalization.BatchNormalization, dtype='float16')
163 norm = normalization.BatchNormalization()
168 norm = normalization.BatchNormalization(fused=False)
174 norm = normalization.BatchNormalization(virtual_batch_size=2)
274 [normalization.BatchNormalization, normalization_v2.BatchNormalization])
500 normalization.LayerNormalization, dtype='float32')
505 normalization.LayerNormalization, dtype='float16')
540 layer = normalization.LayerNormalization(
Dnormalization_v2.py21 from tensorflow.python.keras.layers.normalization import BatchNormalizationBase
/external/icu/icu4c/source/data/unidata/
DNormalizationCorrections.txt12 # The normalization stability policy of the Unicode Consortium
21 # requirements for possible exceptions to normalization
24 # of normalization, *including* any errors in the data, can
/external/icu/icu4j/main/tests/core/src/com/ibm/icu/dev/data/unicode/
DNormalizationCorrections.txt12 # The normalization stability policy of the Unicode Consortium
21 # requirements for possible exceptions to normalization
24 # of normalization, *including* any errors in the data, can
/external/icu/android_icu4j/src/main/tests/android/icu/dev/data/unicode/
DNormalizationCorrections.txt12 # The normalization stability policy of the Unicode Consortium
21 # requirements for possible exceptions to normalization
24 # of normalization, *including* any errors in the data, can
/external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/
Dbatch_normalization.py25 from tensorflow.python.layers import normalization
173 self.batchnorm = batchnorm_layer or normalization.BatchNormalization(
195 if not isinstance(layer, normalization.BatchNormalization):
/external/icu/icu4c/source/test/testdata/
Dtestnorm.txt47 # ICU 63 normalization with UCPTrie requires inert surrogate code points.
62 # ICU 63 normalization with UCPTrie requires inert surrogate code points.
/external/tensorflow/tensorflow/contrib/distribute/python/
Dsingle_loss_example.py26 from tensorflow.python.layers import normalization
105 batchnorm = normalization.BatchNormalization(
/external/tensorflow/tensorflow/python/layers/
Dlayers.py77 from tensorflow.python.layers.normalization import BatchNormalization
79 from tensorflow.python.layers.normalization import batch_normalization
/external/harfbuzz_ng/src/hb-ucdn/
DREADME12 Database and low-level normalization functions (pairwise canonical
15 properties, string normalization and encoding conversion.
/external/tensorflow/tensorflow/contrib/gan/python/features/python/
Dvirtual_batchnorm_test.py28 from tensorflow.python.layers import normalization
111 bn_normalized = normalization.batch_normalization(
135 batch_normalized = normalization.batch_normalization(
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.layers.-batch-normalization.pbtxt3 is_instance: "<class \'tensorflow.python.layers.normalization.BatchNormalization\'>"
4 is_instance: "<class \'tensorflow.python.keras.layers.normalization.BatchNormalization\'>"
5 is_instance: "<class \'tensorflow.python.keras.layers.normalization.BatchNormalizationBase\'>"
/external/python/cpython2/Misc/NEWS.d/next/Library/
D2017-08-24-17-55-39.bpo-29456.XaB3MP.rst1 Fix bugs in hangul normalization: u1176, u11a7 and u11c3

12345678