com.intel.analytics.bigdl.nn.ops.MkString.scala Maven / Gradle / Ivy
/*
* 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.nn.ops
import com.intel.analytics.bigdl.tensor.Tensor
import com.intel.analytics.bigdl.tensor.TensorNumericMath.TensorNumeric
import scala.reflect.ClassTag
/**
* MkString operation converts a SparseTensor/DenseTensor to a Dense Tensor[String]
*
* the output shape will be 1-D Tensor[String].
*
* @param strDelimiter The delimiter between values, default: ","
* @tparam T Numeric type. Parameter tensor numeric type. Only support float/double now
*/
class MkString[T: ClassTag](
val strDelimiter: String = ","
)(implicit ev: TensorNumeric[T])
extends Operation[Tensor[_], Tensor[String], T]{
output = Tensor[String]()
override def updateOutput(input: Tensor[_]): Tensor[String] = {
val rows = input.size(dim = 1)
val resTensor = Tensor[String](rows)
var i = 1
while (i <= rows) {
val narrowTensor = input.narrow(1, i, 1)
val resStr = narrowTensor.storage().array().slice(
narrowTensor.storageOffset() - 1,
narrowTensor.storageOffset() -1 + narrowTensor.nElement()
).mkString(strDelimiter)
resTensor.setValue(i, resStr)
i += 1
}
output = resTensor
output
}
}
object MkString {
def apply[T: ClassTag](
strDelimiter: String = ","
) (implicit ev: TensorNumeric[T]): MkString[T]
= new MkString[T](
strDelimiter = strDelimiter
)
}