Searched refs:Normalization (Results 1 – 25 of 59) sorted by relevance
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| /external/tensorflow/tensorflow/python/keras/layers/preprocessing/ |
| D | normalization.py | 42 class Normalization(CombinerPreprocessingLayer): class
65 super(Normalization, self).__init__(
66 combiner=Normalization._NormalizingCombiner(axis),
106 super(Normalization, self).build(input_shape)
123 base_config = super(Normalization, self).get_config()
130 super(Normalization, self).set_weights(weights)
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| D | normalization_v1.py | 27 class Normalization(normalization.Normalization, CombinerPreprocessingLayer): class
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| D | normalization_test.py | 39 return normalization.Normalization
41 return normalization_v1.Normalization
112 combiner = normalization.Normalization._NormalizingCombiner(axis=-1)
179 combiner = normalization.Normalization._NormalizingCombiner(axis=axis)
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| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | __init__.py | 34 from tensorflow.python.keras.layers.preprocessing.normalization import Normalization
35 …from tensorflow.python.keras.layers.preprocessing.normalization_v1 import Normalization as Normali…
36 NormalizationV2 = Normalization
41 from tensorflow.python.keras.layers.preprocessing.normalization_v1 import Normalization
42 …from tensorflow.python.keras.layers.preprocessing.normalization import Normalization as Normalizat…
43 NormalizationV1 = Normalization
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.layers.experimental.preprocessing.pbtxt | 4 name: "Normalization"
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| D | tensorflow.keras.layers.experimental.preprocessing.-normalization.__metaclass__.pbtxt | 1 path: "tensorflow.keras.layers.experimental.preprocessing.Normalization.__metaclass__"
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| D | tensorflow.keras.layers.experimental.preprocessing.-normalization.pbtxt | 1 path: "tensorflow.keras.layers.experimental.preprocessing.Normalization"
3 …is_instance: "<class \'tensorflow.python.keras.layers.preprocessing.normalization.Normalization\'>"
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.layers.experimental.preprocessing.pbtxt | 4 name: "Normalization"
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| D | tensorflow.keras.layers.experimental.preprocessing.-normalization.__metaclass__.pbtxt | 1 path: "tensorflow.keras.layers.experimental.preprocessing.Normalization.__metaclass__"
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| D | tensorflow.keras.layers.experimental.preprocessing.-normalization.pbtxt | 1 path: "tensorflow.keras.layers.experimental.preprocessing.Normalization"
3 …instance: "<class \'tensorflow.python.keras.layers.preprocessing.normalization_v1.Normalization\'>"
4 …is_instance: "<class \'tensorflow.python.keras.layers.preprocessing.normalization.Normalization\'>"
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_LRNGrad.pbtxt | 52 summary: "Gradients for Local Response Normalization."
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| D | api_def_LRN.pbtxt | 33 summary: "Local Response Normalization."
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| /external/icu/icu4c/source/test/testdata/ |
| D | testnorm.txt | 14 # Normalization test data, for improving code coverage.
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| /external/libtextclassifier/native/utils/tflite/ |
| D | text_encoder_config.fbs | 43 // Normalization options.
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| /external/icu/icu4j/main/tests/core/src/com/ibm/icu/dev/data/unicode/ |
| D | NormalizationCorrections.txt | 43 # For more information, see UAX #15, Unicode Normalization Forms.
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| /external/icu/icu4c/source/data/unidata/ |
| D | NormalizationCorrections.txt | 43 # For more information, see UAX #15, Unicode Normalization Forms.
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| /external/icu/android_icu4j/src/main/tests/android/icu/dev/data/unicode/ |
| D | NormalizationCorrections.txt | 43 # For more information, see UAX #15, Unicode Normalization Forms.
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| /external/deqp/doc/testspecs/GLES2/ |
| D | functional.vertex_arrays.single_attribute.txt | 56 Normalization is tested with different input types and component counts. User
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| /external/deqp/doc/testspecs/GLES3/ |
| D | functional.vertex_arrays.single_attribute.txt | 59 Normalization is tested with different input types and component counts. User
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| /external/perfetto/protos/perfetto/config/profiling/ |
| D | perf_event_config.proto | 51 // "normalized". Normalization is as follows: (1) trim everything beyond the
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| /external/tensorflow/tensorflow/python/keras/applications/ |
| D | efficientnet.py | 256 x = layers.Normalization(axis=bn_axis)(x)
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| /external/python/cpython2/Doc/c-api/ |
| D | datetime.rst | 127 seconds and microseconds. Normalization is performed so that the resulting
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| /external/python/cpython3/Doc/c-api/ |
| D | datetime.rst | 126 of days, seconds and microseconds. Normalization is performed so that the
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| /external/tensorflow/tensorflow/compiler/mlir/xla/ir/ |
| D | hlo_ops_base.td | 706 string summary = "Batch Normalization Gradient";
716 string summary = "Batch Normalization for Inference";
726 string summary = "Batch Normalization for Training";
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| /external/cldr/common/testData/transforms/ |
| D | ja-Latn-t-ja-hrkt-m0-bgn.txt | 172 # Unicode Normalization Form D (NFD)
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