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Creates an array filled with a scalar value. More memory-efficient than nv_array(value, shape = shape) for large arrays.

nv_fill_like() is a variant where dtype, shape, ambiguous, and device default to those of like.

Usage

nv_fill(value, shape, dtype = NULL, ambiguous = FALSE, device = NULL)

nv_fill_like(
  like,
  value,
  shape = NULL,
  dtype = NULL,
  ambiguous = NULL,
  device = NULL
)

Arguments

value

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

shape

(integer())
Shape of the output array.

dtype

(character(1) | NULL)
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.

device

(NULL | character(1) | device)
The device the data lives on, given either as:

  • a device string naming the platform (e.g. "cpu", "cuda", "cuda:<n>"), which is resolved against the backend in use, or

  • a device object as returned by nv_device(): a PJRTDevice for the "pjrt" backend or a quickr_device for the "quickr" backend. Because a device object is backend-specific, it also determines the backend.

The default (NULL) uses default_device(): the CPU, or the platform named by the PJRT_PLATFORM environment variable on the "pjrt" backend.

like

(AnvlArray)
Existing array whose attributes are used as defaults (only for nv_fill_like()).

Value

arrayish
Has the given shape and dtype.

See also

prim_fill() for the underlying primitive.

Examples

nv_fill(0, shape = c(2, 3))
#> AnvlArray
#>  0 0 0
#>  0 0 0
#> [ CPUf32{2,3} ] 
x <- nv_matrix(1:6, nrow = 2)
nv_fill_like(x, 0)
#> AnvlArray
#>  0 0 0
#>  0 0 0
#> [ CPUi32{2,3} ]