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/external/tensorflow/tensorflow/python/layers/
Dnormalization.py161 def batch_normalization(inputs, function
318 batch_norm = batch_normalization
Dlayers.py79 from tensorflow.python.layers.normalization import batch_normalization
Dnormalization_test.py1042 normalization_layers.batch_normalization(
1048 out1 = normalization_layers.batch_normalization(inp)
1049 out2 = normalization_layers.batch_normalization(
1066 out = normalization_layers.batch_normalization(
1074 out = normalization_layers.batch_normalization(
1250 normalization_layers.batch_normalization(
1254 normalization_layers.batch_normalization(
1258 normalization_layers.batch_normalization(
/external/tensorflow/tensorflow/contrib/gan/python/features/python/
Dvirtual_batchnorm_impl.py268 return nn.batch_normalization(self._reference_batch,
301 return nn.batch_normalization(
Dvirtual_batchnorm_test.py111 bn_normalized = normalization.batch_normalization(
135 batch_normalized = normalization.batch_normalization(
/external/tensorflow/tensorflow/core/api_def/base_api/
Dapi_def_BatchNormWithGlobalNormalization.pbtxt55 This op is deprecated. Prefer `tf.nn.batch_normalization`.
Dapi_def_BatchNormWithGlobalNormalizationGrad.pbtxt84 This op is deprecated. See `tf.nn.batch_normalization`.
Dapi_def_QuantizedBatchNormWithGlobalNormalization.pbtxt116 `tf.nn.batch_normalization`.
/external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/
D__init__.py67 from tensorflow.contrib.distributions.python.ops.bijectors.batch_normalization import *
/external/tensorflow/tensorflow/contrib/layers/python/layers/
Dnormalization.py158 outputs = nn.batch_normalization(
Drev_block_lib_test.py355 out = normalization_layers.batch_normalization(out, training=True)
Dlayers.py832 outputs = nn.batch_normalization(inputs, mean, variance, beta, gamma,
2318 outputs = nn.batch_normalization(
/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/bijectors/
Dbatch_normalization_test.py25 from tensorflow.contrib.distributions.python.ops.bijectors.batch_normalization import BatchNormaliz…
/external/tensorflow/tensorflow/contrib/keras/api/keras/backend/
D__init__.py32 from tensorflow.python.keras.backend import batch_normalization
/external/tensorflow/tensorflow/python/ops/
Dbatch_norm_benchmark.py57 return nn_impl.batch_normalization(tensor, mean, variance, beta, gamma if
Dnn_impl.py1131 def batch_normalization(x, function
1304 return batch_normalization(t, m, v, beta, gamma if scale_after_normalization
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.layers.pbtxt96 name: "batch_normalization"
Dtensorflow.nn.pbtxt48 name: "batch_normalization"
Dtensorflow.keras.backend.pbtxt48 name: "batch_normalization"
/external/tensorflow/tensorflow/python/keras/layers/
Dnormalization.py725 outputs = nn.batch_normalization(inputs,
991 outputs = nn.batch_normalization(
/external/tensorflow/tensorflow/contrib/eager/python/examples/workshop/
D2_models.ipynb314batch_normalization/gamma:0', 'resnet_identity_block/batch_normalization/beta:0', 'resnet_identity…
/external/tensorflow/tensorflow/python/keras/
Dbackend.py2155 normed = nn.batch_normalization(x, mean, var, beta, gamma, epsilon)
2197 normed = nn.batch_normalization(x, broadcast_mean, broadcast_var,
2269 def batch_normalization(x, mean, var, beta, gamma, axis=-1, epsilon=1e-3): function
2324 return nn.batch_normalization(x, mean, var, beta, gamma, epsilon)
Dbackend_test.py1743 normed = keras.backend.batch_normalization(
1751 normed = keras.backend.batch_normalization(
1759 normed = keras.backend.batch_normalization(
/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.nn.pbtxt52 name: "batch_normalization"
Dtensorflow.keras.backend.pbtxt48 name: "batch_normalization"

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