Description Usage Arguments Details Value Examples
rray_split()
splits x
into equal pieces, splitting along the axes
.
1 | rray_split(x, axes = NULL)
|
x |
A vector, matrix, array, or rray. |
axes |
An integer vector. The axes to split on. The default splits along all axes. |
rray_split()
works by splitting along the axes
. The result is a list
of sub arrays, where the axes
of each sub array have been reduced to
length 1. This is consistent with how reducers like rray_sum()
work. As
an example, splitting a (2, 3, 5)
array along axes = c(2, 3)
would
result in a list of 15 (from 3 * 5
) sub arrays, each with
shape (2, 1, 1)
.
A list of sub arrays of type x
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | x <- matrix(1:8, ncol = 2)
# Split the rows
# (4, 2) -> (1, 2)
rray_split(x, 1)
# Split the columns
# (4, 2) -> (4, 1)
rray_split(x, 2)
# Split along multiple dimensions
# (4, 2) -> (1, 1)
rray_split(x, c(1, 2))
# The above split is the default behavior
rray_split(x)
# You can technically split with a size 0 `axes`
# argument, which essentially requests no axes
# to be split and is the same as `list(x)`
rray_split(x, axes = integer(0))
# ---------------------------------------------------------------------------
# 4 dimensional example
x_4d <- rray(
x = 1:16,
dim = c(2, 2, 2, 2),
dim_names = list(
c("r1", "r2"),
c("c1", "c2"),
c("d1", "d2"),
c("e1", "e2")
)
)
# Split along the 1st dimension (rows)
# (2, 2, 2, 2) -> (1, 2, 2, 2)
rray_split(x_4d, 1)
# Split along columns
# (2, 2, 2, 2) -> (2, 1, 2, 2)
rray_split(x_4d, 2)
# Probably the most useful thing you might do
# is use this to split the 4D array into a set
# of 4 2D matrices.
rray_split(x_4d, c(3, 4))
|
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