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Multiplies two arrays element-wise. You can also use the * operator.

Usage

nv_mul(lhs, rhs)

# S3 method for class 'AnvlArray'
e1 * e2

Arguments

lhs, rhs

(arrayish)
Two inputs with a common data type. Can be any data type. Scalars are broadcast. An R value takes the other operand's data type when that is in its own or a higher category. Otherwise it settles on its default data type, and the operands meet at their common data type.

e1, e2

(arrayish)
The operands of the operator, which it passes on as lhs and rhs.

Value

(arrayish)
Has the inputs' broadcast shape and common data type.

See also

prim_mul() for the underlying primitive.

Examples

x <- nv_array(c(1, 2, 3))
y <- nv_array(c(4, 5, 6))
nv_mul(x, y)
#> AnvlArray
#>   4
#>  10
#>  18
#> [ CPUf32{3} ] 
x * y
#> AnvlArray
#>   4
#>  10
#>  18
#> [ CPUf32{3} ] 

# different data types are promoted to their common one
nv_mul(nv_scalar(2, "f32"), nv_scalar(3, "f64"))
#> AnvlArray
#>  6
#> [ CPUf64{} ] 

# a scalar is broadcast and an R integer is converted to a float
x * 2L
#> AnvlArray
#>  2
#>  4
#>  6
#> [ CPUf32{3} ]