Uses of Class
ai.rapids.cudf.DType

Uses of DType in ai.rapids.cudf

Methods in ai.rapids.cudf that return DType

Modifier and Type	Method and Description
DType	Scalar.getType()
DType	BinaryOperable.getType() Get the type of this data.
DType	ColumnVector.getType() Returns the type of this vector.
static DType	BinaryOperable.implicitConversion(BinaryOperable lhs, BinaryOperable rhs) Finds the proper DType for an implicit output.
static DType	DType.valueOf(String name) Returns the enum constant of this type with the specified name.
static DType[]	DType.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in ai.rapids.cudf with parameters of type DType

Modifier and Type	Method and Description
default ColumnVector	BinaryOperable.add(BinaryOperable rhs, DType outType) Add + operator.
default ColumnVector	BinaryOperable.and(BinaryOperable rhs, DType outType) Logical and (&&) with the given output type.
ColumnVector	Scalar.binaryOp(BinaryOp op, BinaryOperable rhs, DType outType)
ColumnVector	BinaryOperable.binaryOp(BinaryOp op, BinaryOperable rhs, DType outType) Multiple different binary operations.
ColumnVector	ColumnVector.binaryOp(BinaryOp op, BinaryOperable rhs, DType outType) Multiple different binary operations.
default ColumnVector	BinaryOperable.bitAnd(BinaryOperable rhs, DType outType) Bit wise and (&) with the given output type.
default ColumnVector	BinaryOperable.bitOr(BinaryOperable rhs, DType outType) Bit wise or (|) with the given output type.
default ColumnVector	BinaryOperable.bitXor(BinaryOperable rhs, DType outType) Bit wise xor (^) with the given output type.
static ColumnVector	ColumnVector.build(DType type, int rows, java.util.function.Consumer<ColumnVector.Builder> init) Create a new vector.
static ColumnVector	ColumnVector.build(DType type, TimeUnit tsTimeUnit, int rows, java.util.function.Consumer<ColumnVector.Builder> init) Create a new vector.
static ColumnVector.Builder	ColumnVector.builder(DType type, int rows) Create a new Builder to hold the specified number of rows.
static ColumnVector.Builder	ColumnVector.builder(DType type, TimeUnit tsTimeUnit, int rows) Create a new Builder to hold the specified number of rows.
static ColumnVector	ColumnVector.buildOnHost(DType type, int rows, java.util.function.Consumer<ColumnVector.Builder> init) Create a new vector without sending data to the device.
static ColumnVector	ColumnVector.buildOnHost(DType type, TimeUnit tsTimeUnit, int rows, java.util.function.Consumer<ColumnVector.Builder> init) Create a new vector without sending data to the device.
ColumnVector	ColumnVector.castTo(DType type, TimeUnit unit) Generic method to cast ColumnVector When casting from a Date, Timestamp, or Boolean to a numerical type the underlying numerical representationof the data will be used for the cast.
Schema.Builder	Schema.Builder.column(DType type, String name)
default ColumnVector	BinaryOperable.div(BinaryOperable rhs, DType outType) Divide one vector by another with the given output type.
default ColumnVector	BinaryOperable.equalTo(BinaryOperable rhs, DType outType) this == rhs 1 is true 0 is false with the output cast to the given type.
default ColumnVector	BinaryOperable.floorDiv(BinaryOperable rhs, DType outType) Divide one vector by another and calculate the floor of the result with the given output type.
static Scalar	Scalar.fromNull(DType dtype)
default ColumnVector	BinaryOperable.greaterOrEqualTo(BinaryOperable rhs, DType outType) this >= rhs 1 is true 0 is false with the output cast to the given type.
default ColumnVector	BinaryOperable.greaterThan(BinaryOperable rhs, DType outType) this > rhs 1 is true 0 is false with the output cast to the given type.
default ColumnVector	BinaryOperable.lessOrEqualTo(BinaryOperable rhs, DType outType) this <= rhs 1 is true 0 is false with the output cast to the given type.
default ColumnVector	BinaryOperable.lessThan(BinaryOperable rhs, DType outType) this < rhs 1 is true 0 is false with the output cast to the given type.
Scalar	ColumnVector.max(DType outType) Returns the maximum of all values in the column, returning a scalar of the specified type.
Scalar	ColumnVector.min(DType outType) Returns the minimum of all values in the column, returning a scalar of the specified type.
default ColumnVector	BinaryOperable.mod(BinaryOperable rhs, DType outType) Compute the modulus with the given output type.
default ColumnVector	BinaryOperable.mul(BinaryOperable rhs, DType outType) Multiply two vectors together with the given output type.
default ColumnVector	BinaryOperable.notEqualTo(BinaryOperable rhs, DType outType) this != rhs 1 is true 0 is false with the output cast to the given type.
default ColumnVector	BinaryOperable.or(BinaryOperable rhs, DType outType) Logical or (||) with the given output type.
default ColumnVector	BinaryOperable.pow(BinaryOperable rhs, DType outType) Compute the power with the given output type.
Scalar	ColumnVector.product(DType outType) Returns the product of all values in the column, returning a scalar of the specified type.
Scalar	ColumnVector.reduction(ReductionOp op, DType outType) Computes the reduction of the values in all rows of a column.
default ColumnVector	BinaryOperable.sub(BinaryOperable rhs, DType outType) Subtract one vector from another with the given output type.
Scalar	ColumnVector.sum(DType outType) Computes the sum of all values in the column, returning a scalar of the specified type.
Scalar	ColumnVector.sumOfSquares(DType outType) Returns the sum of squares of all values in the column, returning a scalar of the specified type.
default ColumnVector	BinaryOperable.trueDiv(BinaryOperable rhs, DType outType) Divide one vector by another converting to FLOAT64 in between with the given output type.