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Searched refs:batch_normalization (Results 1 – 21 of 21) sorted by relevance

/external/tensorflow/tensorflow/python/layers/
Dnormalization.py27 batch_normalization = normalization.batch_normalization variable
31 batch_norm = batch_normalization
Dlayers.py78 from tensorflow.python.layers.normalization import batch_normalization
/external/tensorflow/tensorflow/python/keras/legacy_tf_layers/
Dnormalization.py176 def batch_normalization(inputs, function
344 batch_norm = batch_normalization
Dnormalization_test.py1091 normalization_layers.batch_normalization(
1097 out1 = normalization_layers.batch_normalization(inp)
1098 out2 = normalization_layers.batch_normalization(
1115 out = normalization_layers.batch_normalization(
1123 out = normalization_layers.batch_normalization(
1299 normalization_layers.batch_normalization(
1303 normalization_layers.batch_normalization(
1307 normalization_layers.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/python/ops/
Dbatch_norm_benchmark.py57 return nn_impl.batch_normalization(tensor, mean, variance, beta, gamma if
Dnn_impl.py1513 def batch_normalization(x, function
1739 return batch_normalization(t, m, v, beta, gamma if scale_after_normalization
Dnn_batchnorm_test.py69 return nn_impl.batch_normalization(x, m, v, beta if
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.layers.pbtxt96 name: "batch_normalization"
Dtensorflow.keras.backend.pbtxt48 name: "batch_normalization"
Dtensorflow.nn.pbtxt44 name: "batch_normalization"
/external/tensorflow/tensorflow/python/keras/layers/
Dnormalization.py906 outputs = nn.batch_normalization(inputs, _broadcast(mean),
1235 outputs = nn.batch_normalization(
/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.nn.pbtxt48 name: "batch_normalization"
Dtensorflow.keras.backend.pbtxt44 name: "batch_normalization"
/external/tensorflow/tensorflow/python/keras/
Dbackend.py2889 normed = nn.batch_normalization(x, mean, var, beta, gamma, epsilon)
2931 normed = nn.batch_normalization(x, broadcast_mean, broadcast_var,
3006 def batch_normalization(x, mean, var, beta, gamma, axis=-1, epsilon=1e-3): function
3061 return nn.batch_normalization(x, mean, var, beta, gamma, epsilon)
Dbackend_test.py1541 normed = backend.batch_normalization(
1549 normed = backend.batch_normalization(
1559 normed = backend.batch_normalization(
/external/tensorflow/tensorflow/python/grappler/
Dlayout_optimizer_test.py1315 y = nn.batch_normalization(
/external/tensorflow/tensorflow/core/ops/
Dops.pbtxt4086 explanation: "Use tf.nn.batch_normalization()"
4166 explanation: "Use tf.nn.batch_normalization()"
/external/tensorflow/tensorflow/compiler/mlir/tensorflow/ir/
Dtf_generated_ops.td952 This op is deprecated. Prefer `tf.nn.batch_normalization`.