com.nvidia.spark.rapids.FloatUtils.scala Maven / Gradle / Ivy

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Creates the distribution package of the RAPIDS plugin for Apache Spark

There is a newer version: 24.10.1

/*
 * Copyright (c) 2020-2023, NVIDIA CORPORATION.
 *
 * 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.nvidia.spark.rapids

import ai.rapids.cudf.{ColumnVector, ColumnView, DType, Scalar}
import com.nvidia.spark.rapids.Arm.withResource

object FloatUtils {

  def nanToZero(cv: ColumnView): ColumnVector = {
    if (cv.getType() != DType.FLOAT32 && cv.getType() != DType.FLOAT64) {
      throw new IllegalArgumentException("Only Floats and Doubles allowed")
    }
    withResource(cv.isNan()) { isNan =>
      withResource(
        if (cv.getType == DType.FLOAT64) {
          Scalar.fromDouble(0.0d)
        } else {
          Scalar.fromFloat(0.0f)
        }
      ) {
        zero => isNan.ifElse(zero, cv)
      }
    }
  }

  def getNanScalar(dType: DType): Scalar = {
    if (dType == DType.FLOAT64) {
      Scalar.fromDouble(Double.NaN)
    } else if (dType == DType.FLOAT32) {
      Scalar.fromFloat(Float.NaN)
    } else {
      throw new IllegalArgumentException("NaNs are only supported for Float types")
    }
  }

  def getPositiveInfinityScalar(dType: DType): Scalar = {
    if (dType == DType.FLOAT64) {
      Scalar.fromDouble(Double.PositiveInfinity)
    } else {
      Scalar.fromFloat(Float.PositiveInfinity)
    }
  }

  def getNegativeInfinityScalar(dType: DType): Scalar = {
    if (dType == DType.FLOAT64) {
      Scalar.fromDouble(Double.NegativeInfinity)
    } else {
      Scalar.fromFloat(Float.NegativeInfinity)
    }
  }

  def getInfinityVector(dtype: DType): ColumnVector = {
    if (dtype == DType.FLOAT64) {
      ColumnVector.fromDoubles(Double.PositiveInfinity, Double.NegativeInfinity)
    } else {
      ColumnVector.fromFloats(Float.PositiveInfinity, Float.NegativeInfinity)
    }
  }

  def infinityToNulls(vec: ColumnVector): ColumnVector = {
    def getNullVector: ColumnVector = {
      if (vec.getType == DType.FLOAT64) ColumnVector.fromBoxedDoubles(null, null)
      else ColumnVector.fromBoxedFloats(null, null)
    }

    withResource(getInfinityVector(vec.getType)) { infinityVector =>
      withResource(getNullVector) { nullVector =>
        vec.findAndReplaceAll(infinityVector, nullVector)
      }
    }
  }
}