com.intel.analytics.zoo.feature.common.MultiTensorsToSample.scala Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of analytics-zoo-bigdl_0.13.0-spark_2.4.6 Show documentation
Show all versions of analytics-zoo-bigdl_0.13.0-spark_2.4.6 Show documentation
Big Data AI platform for distributed TensorFlow and PyTorch on Apache Spark.
/*
* Copyright 2018 Analytics Zoo 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.zoo.feature.common
import com.intel.analytics.bigdl.dataset.Sample
import com.intel.analytics.bigdl.tensor.Tensor
import com.intel.analytics.bigdl.tensor.TensorNumericMath.TensorNumeric
import scala.reflect.ClassTag
/**
* a Preprocessing that converts multiple tensors to Sample.
*/
class MultiTensorsToSample[T: ClassTag]()(implicit ev: TensorNumeric[T])
extends Preprocessing[Array[Tensor[T]], Sample[T]] {
override def apply(prev: Iterator[Array[Tensor[T]]]): Iterator[Sample[T]] = {
prev.map(Sample(_))
}
}
object MultiTensorsToSample {
def apply[F, T: ClassTag]()(implicit ev: TensorNumeric[T]): MultiTensorsToSample[T] =
new MultiTensorsToSample()
}