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Primitive Fill

Source: R/primitives.R
nvl_fill.Rd

Creates a tensor of a given shape and data type, filled with a scalar value. The advantage of using this function instead of e.g. doing nv_tensor(1, shape = c(100, 100)) is that lowering of nvl_fill() is efficiently represented in the compiled program, while the latter uses 100 * 100 * 4 bytes of memory.

Usage

nvl_fill(value, shape, dtype, ambiguous = FALSE)

Arguments

value

(numeric(1))
Scalar value to fill the tensor with.

shape

(integer())
Shape of the output tensor.

dtype

(character(1) | stablehlo::TensorDataType)
Data type.

ambiguous

(logical(1))
Whether the type is ambiguous. Ambiguous types usually arise from R literals (e.g., 1L, 1.0) and follow special promotion rules. See the vignette("type-promotion") for more details.

Value

tensorish
Has the given shape and dtype.

Implemented Rules

  • stablehlo

StableHLO

Lowers to stablehlo::hlo_tensor().

See also

nv_fill()

Examples

jit_eval(nvl_fill(3.14, shape = c(2, 3), dtype = "f32"))
#> AnvilTensor
#>  3.1400 3.1400 3.1400
#>  3.1400 3.1400 3.1400
#> [ CPUf32{2,3} ]