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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.dllib.nn.ops

import com.intel.analytics.bigdl.dllib.nn.abstractnn.Activity
import com.intel.analytics.bigdl.dllib.tensor.TensorNumericMath.TensorNumeric
import com.intel.analytics.bigdl.dllib.tensor._

import scala.reflect.ClassTag

class Rank[T: ClassTag]()
  (implicit ev: TensorNumeric[T]) extends Operation[Tensor[_], Tensor[Int], T] {

  output = Tensor[Int]()

  override def updateOutput(input: Tensor[_]): Tensor[Int] = {

    output.resize(Array[Int]())
    output.setValue(input.nDimension())

    output
  }
}

object Rank {
  def apply[T: ClassTag]()(implicit ev: TensorNumeric[T]):
  Operation[Activity, Activity, T]
  = ModuleToOperation[T](new Rank())
}




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