object Basic extends Basic
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- final def !=(arg0: Any): Boolean
- Definition Classes
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- final def ##: Int
- Definition Classes
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- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- def batchToSpace[T, I](input: Tensor[T], blockSize: Int, crops: Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
- Definition Classes
- Basic
- def batchToSpaceND[T, I1, I2](input: Tensor[T], blockShape: Tensor[I1], crops: Tensor[I2])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I1], arg2: core.types.IsIntOrLong[I1], arg3: core.types.TF[I2], arg4: core.types.IsIntOrLong[I2]): Tensor[T]
- Definition Classes
- Basic
- def booleanMask[T](input: Tensor[T], mask: Tensor[Boolean])(implicit arg0: core.types.TF[T]): Tensor[T]
- Definition Classes
- Basic
- def checkNumerics[T](input: Tensor[T], message: String = "")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): Tensor[T]
- Definition Classes
- Basic
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- def concatenate[T](inputs: Seq[Tensor[T]], axis: Tensor[Int] = 0)(implicit arg0: core.types.TF[T]): Tensor[T]
- Definition Classes
- Basic
- def depthToSpace[T](input: Tensor[T], blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default)(implicit arg0: core.types.TF[T]): Tensor[T]
- Definition Classes
- Basic
- def editDistance[T](hypothesis: SparseTensor[T], truth: SparseTensor[T], normalize: Boolean = true)(implicit arg0: core.types.TF[T]): Tensor[Float]
- Definition Classes
- Basic
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def equals(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef → Any
- def expandDims[T, I](input: Tensor[T], axis: Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
- Definition Classes
- Basic
- def gather[T, I1, I2](input: Tensor[T], indices: Tensor[I1], axis: Tensor[I2])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I1], arg2: core.types.IsIntOrLong[I1], arg3: core.types.TF[I2], arg4: core.types.IsIntOrLong[I2]): Tensor[T]
- Definition Classes
- Basic
- def gather[T, I1](input: Tensor[T], indices: Tensor[I1])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I1], arg2: core.types.IsIntOrLong[I1]): Tensor[T]
- Definition Classes
- Basic
- def gatherND[T, I](input: Tensor[T], indices: Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
- Definition Classes
- Basic
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def indexedSlicesMask[T](input: TensorIndexedSlices[T], maskIndices: Tensor[Int])(implicit arg0: core.types.TF[T]): TensorIndexedSlices[T]
- Definition Classes
- Basic
- Annotations
- @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])
- def invertPermutation[I](input: Tensor[I])(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): Tensor[I]
- Definition Classes
- Basic
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- def listDiff[T, I](x: Tensor[T], y: Tensor[T], indicesDataType: core.types.DataType[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Tensor[T], Tensor[I])
- Definition Classes
- Basic
- def matrixTranspose[T](input: Tensor[T], conjugate: Boolean = false)(implicit arg0: core.types.TF[T]): Tensor[T]
- Definition Classes
- Basic
- Annotations
- @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidShapeException])
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- final def notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def pad[T, I](input: Tensor[T], paddings: Tensor[I], mode: ops.basic.Basic.PaddingMode = ConstantPadding(Some(Tensor(0))))(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
- Definition Classes
- Basic
- def parallelStack[T](inputs: Seq[Tensor[T]])(implicit arg0: core.types.TF[T]): Tensor[T]
- Definition Classes
- Basic
- def preventGradient[T](input: Tensor[T], message: String = "")(implicit arg0: core.types.TF[T]): Tensor[T]
- Definition Classes
- Basic
- def rank[T <: TensorLike[_]](input: T): Tensor[Int]
- Definition Classes
- Basic
- def requiredSpaceToBatchPaddingsAndCrops(inputShape: Tensor[Int], blockShape: Tensor[Int], basePaddings: Tensor[Int] = null): (Tensor[Int], Tensor[Int])
- Definition Classes
- Basic
- Annotations
- @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidShapeException])
- def reshape[T, I](input: Tensor[T], shape: Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
- Definition Classes
- Basic
- def reverse[T, I](input: Tensor[T], axes: Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
- Definition Classes
- Basic
- def reverseSequence[T, I](input: Tensor[T], sequenceLengths: Tensor[I], sequenceAxis: Int, batchAxis: Int = 0)(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
- Definition Classes
- Basic
- def scatterND[T, I](indices: Tensor[I], updates: Tensor[T], shape: Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
- Definition Classes
- Basic
- def sequenceMask[T](lengths: Tensor[T], maxLength: Tensor[T] = null)(implicit arg0: core.types.TF[T], arg1: core.types.IsIntOrUInt[T]): Tensor[Boolean]
- Definition Classes
- Basic
- Annotations
- @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])
- def shape[T <: TensorLike[_]](input: T): Tensor[Int]
- Definition Classes
- Basic
- def shapeN(inputs: Seq[Tensor[_]]): Seq[Tensor[Int]]
- Definition Classes
- Basic
- def size[T <: TensorLike[_]](input: T): Tensor[Long]
- Definition Classes
- Basic
- def spaceToBatch[T, I](input: Tensor[T], blockSize: Int, paddings: Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
- Definition Classes
- Basic
- def spaceToBatchND[T, I1, I2](input: Tensor[T], blockShape: Tensor[I1], paddings: Tensor[I2])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I1], arg2: core.types.IsIntOrLong[I1], arg3: core.types.TF[I2], arg4: core.types.IsIntOrLong[I2]): Tensor[T]
- Definition Classes
- Basic
- def spaceToDepth[T](input: Tensor[T], blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default)(implicit arg0: core.types.TF[T]): Tensor[T]
- Definition Classes
- Basic
- def split[T, I](input: Tensor[T], splitSizes: Tensor[I], axis: Tensor[Int] = 0)(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Seq[Tensor[T]]
- Definition Classes
- Basic
- def splitEvenly[T](input: Tensor[T], numSplits: Int, axis: Tensor[Int] = 0)(implicit arg0: core.types.TF[T]): Seq[Tensor[T]]
- Definition Classes
- Basic
- def squeeze[T](input: Tensor[T], axes: Seq[Int] = null)(implicit arg0: core.types.TF[T]): Tensor[T]
- Definition Classes
- Basic
- def stack[T](inputs: Seq[Tensor[T]], axis: Int = 0)(implicit arg0: core.types.TF[T]): Tensor[T]
- Definition Classes
- Basic
- def stopGradient[T](input: Tensor[T])(implicit arg0: core.types.TF[T]): Tensor[T]
- Definition Classes
- Basic
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- def tile[T, I](input: Tensor[T], multiples: Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
- Definition Classes
- Basic
- def toString(): String
- Definition Classes
- AnyRef → Any
- def transpose[T, I](input: Tensor[T], permutation: Tensor[I] = null, conjugate: Boolean = false)(implicit arg0: core.types.TF[T], arg1: IntDefault[I], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): Tensor[T]
- Definition Classes
- Basic
- def unique[T, I](input: Tensor[T], indicesDataType: core.types.DataType[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Tensor[T], Tensor[I])
- Definition Classes
- Basic
- def uniqueWithCounts[T, I](input: Tensor[T], indicesDataType: core.types.DataType[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Tensor[T], Tensor[I], Tensor[I])
- Definition Classes
- Basic
- def unstack[T](input: Tensor[T], number: Int = -1, axis: Int = 0)(implicit arg0: core.types.TF[T]): Seq[Tensor[T]]
- Definition Classes
- Basic
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- def where[T](input: Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsBooleanOrNumeric[T]): Tensor[Long]
- Definition Classes
- Basic