com.intel.analytics.bigdl.utils.tf.loaders.FusedBatchNormV2.scala Maven / Gradle / Ivy
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/*
* Copyright 2016 The BigDL Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.intel.analytics.bigdl.utils.tf.loaders
import java.nio.ByteOrder
import com.intel.analytics.bigdl.Module
import com.intel.analytics.bigdl.nn.abstractnn.DataFormat
import com.intel.analytics.bigdl.nn.tf.{FusedBatchNorm => FusedBatchNormOps}
import com.intel.analytics.bigdl.tensor.TensorNumericMath.TensorNumeric
import com.intel.analytics.bigdl.utils.tf.Context
import org.tensorflow.framework.{DataType, NodeDef}
import scala.reflect.ClassTag
class FusedBatchNormV2 extends TensorflowOpsLoader {
import Utils._
override def build[T: ClassTag](nodeDef: NodeDef, byteOrder: ByteOrder, context: Context[T])
(implicit ev: TensorNumeric[T]): Module[T] = {
val t = getType(nodeDef.getAttrMap, "T")
val u = getType(nodeDef.getAttrMap, "U")
require(t == DataType.DT_FLOAT, "T: Only support float batch normal")
require(u == DataType.DT_FLOAT, "U: Only support float batch normal")
val eps = getFloat(nodeDef.getAttrMap, "epsilon")
val dataFormat = getString(nodeDef.getAttrMap, "data_format")
val isTrain = getBoolean(nodeDef.getAttrMap, "is_training")
if (dataFormat == "NHWC") {
FusedBatchNormOps[T](eps, isTrain, dataFormat = DataFormat.NHWC)
} else {
FusedBatchNormOps[T](eps, isTrain, dataFormat = DataFormat.NCHW)
}
}
}