Create a PJRT Buffer from an R object.
Any numeric PJRT buffer is an array and 0-dimensional arrays are used as scalars.
pjrt_buffer will create a array with dimensions (1) for a vector of length 1, while
pjrt_scalar will create a 0-dimensional array for an R vector of length 1.
To create an empty buffer (at least one dimension must be 0), use pjrt_empty.
Important:
Uploading a numeric vector at an integer element type rejects any value that
type cannot hold: one outside its range, or a missing value, is an error
rather than a wrapped or clamped result. A fractional value is not an
error – it truncates toward zero, as as.integer() does – and the range
is checked on the truncated value, so 255.7 still fits "ui8".
A missing value is not rejected where R's own NA and the element type
already share a bit pattern and the vector travels zero-copy: an
NA_integer_ at "i32" arrives as INT_MIN, and a bit64::integer64
NA at "i64" arrives as INT64_MIN. Both warn, and as_array() warns
about them again on the way back, its check argument defaulting to
"warn". At every other integer element type, and at "pred", a missing
value is an error – including an integer64 NA at "ui64", where those
same bits are the ordinary value 2^63.
At a floating-point element type a missing value is neither rejected nor
warned about: it becomes NaN, from an NA_real_ and an NA_integer_
alike, as as.double() would give.
No other checks are performed when creating the buffer – a double too large
for "f32", for instance, still becomes Inf.
pjrt_empty() allocates a buffer of the given shape and dtype with
unspecified contents. The bytes should be treated as uninitialized —
read them only after they have been written to (e.g. as a donated output
of pjrt_execute()). Shapes with at least one zero-sized dimension
are supported as a degenerate case (the buffer holds zero elements).
Usage
pjrt_buffer(data, dtype = NULL, device = NULL, shape = NULL, ...)
pjrt_scalar(data, dtype = NULL, device = NULL, ...)
pjrt_empty(dtype, shape, device = NULL)Arguments
- data
(any)
Data to convert to aPJRTBuffer.- dtype
(
NULL|character(1)|DataType)
The type of the buffer. Currently supported types are:"pred": predicate (i.e. a boolean)"{s,u}{8,16,32,64}": Signed and unsigned integer (forintegerordoubledata)."f{32,64}": Floating point (fordoubleorintegerdata). The default (NULL) depends on the method:logical->"pred"integer->"i32"double->"f32"raw-> must be supplied
A
doubleat an integer dtype is truncated toward zero, likeas.integer()but without its 32-bit intermediate, sopjrt_buffer(2^40, dtype = "i64")stores1099511627776rather than overflowing. A value the dtype cannot hold is an error rather than a wrapped or clamped result, and the range is tested after truncation, so255.7still fits"ui8".- device
(
NULL|PJRTDevice|character(1))
APJRTDeviceobject or the name of the platform to use ("cpu", "cuda", ...), in which case the first device for that platform is used. The default is to use the CPU platform, but this can be configured via thePJRT_PLATFORMenvironment variable. A value the target dtype cannot hold is rejected whatever this is set to, so the flag only governs missing values.- shape
(
NULL|integer())
The dimensions of the buffer. The default (NULL) is to infer them from the data if possible. The default (NULL) depends on the method.- ...
(any)
Additional arguments. Forrawtypes, this includes:row_major: Whether to read the data in row-major format or column-major format. R uses column-major format.
Extractors
platform()->character(1): for the platform name of the buffer ("cpu","cuda", ...).device()->PJRTDevice: for the device of the buffer (also includes device number)elt_type()->PJRTElementType: for the element type of the buffer.
Converters
as_array()->array|vector: for converting back to R (vectoris only used for shapeinteger()).as_raw()->rawfor a raw vector.
Reading and Writing
safetensors::safe_save_filefor writing to a safetensors file.safetensors::safe_load_filefor reading from a safetensors file.
Scalars
When calling this function on a vector of length 1, the resulting shape is 1L.
To create a 0-dimensional buffer, use pjrt_scalar where the resulting shape is integer().
Examples
# Create a buffer from a numeric vector
buf <- pjrt_buffer(c(1, 2, 3, 4))
buf
#> PJRTBuffer
#> 1
#> 2
#> 3
#> 4
#> [ CPUf32{4} ]
# Create a buffer from a matrix
mat <- matrix(1:6, nrow = 2)
buf <- pjrt_buffer(mat)
buf
#> PJRTBuffer
#> 1 3 5
#> 2 4 6
#> [ CPUi32{2x3} ]
# Create an integer buffer from an array
arr <- array(1:8, dim = c(2, 2, 2))
buf <- pjrt_buffer(arr)
# Create a scalar (0-dimensional array)
scalar <- pjrt_scalar(42, dtype = "f32")
scalar
#> PJRTBuffer
#> 42
#> [ CPUf32{} ]
# Allocate an uninitialized 2x3 f32 buffer (contents are unspecified)
empty <- pjrt_empty(dtype = "f32", shape = c(2, 3))
empty
#> PJRTBuffer
#> -3.1738e+38 3.0651e-41 -2.8162e+38
#> 3.0651e-41 -2.5557e+38 3.0651e-41
#> [ CPUf32{2x3} ]