Join Multiple Tensors into One Tensor
Arguments
- tensors
list of
Tensorinstances- temporary
whether to garbage collect space when exiting R session
Value
A new Tensor instance with the last dimension
Details
Merges multiple tensors. Each tensor must share the same dimension
with the last one dimension as 1, for example, 100x100x1. Join 3
tensors like this will result in a 100x100x3 tensor. This function
is handy when each sub-tensors are generated separately. However, it does no
validation test. Use with cautions.
Examples
tensor1 <- Tensor$new(data = 1:9, c(3,3,1), dimnames = list(
A = 1:3, B = 1:3, C = 1
), varnames = c('A', 'B', 'C'))
tensor2 <- Tensor$new(data = 10:18, c(3,3,1), dimnames = list(
A = 1:3, B = 1:3, C = 2
), varnames = c('A', 'B', 'C'))
merged <- join_tensors(list(tensor1, tensor2))
merged$get_data()
#> , , C = 1
#>
#> B
#> A 1 2 3
#> 1 1 4 7
#> 2 2 5 8
#> 3 3 6 9
#>
#> , , C = 2
#>
#> B
#> A 1 2 3
#> 1 10 13 16
#> 2 11 14 17
#> 3 12 15 18
#>