R Bindings to 'PyTorch'
#' @export "round.torch.Tensor" <- function(input) # round: Returns a ...
Remainder
Matrix/Tensor multiplication of two tensors
A tensor greater than another tensor
Is a tensor greater or equal than another tensor
Logical OR of two tensors
Make copy of tensor, numpy array or R array
Main PyTorch module
Compare two tensors if not equal
One tensor operation
Add two tensors
Objects exported from other packages
PyTorch for R
Tensor shape
Divide two tensors
Install PyTorch and its dependencies
Install additional Python packages alongside PyTorch
Is the object a tensor
Length of a tensor.
Is a tensor less than another tensor
Is a tensor less or equal than another tensor
Logarithm of a tensor given the tensor and the base
Logarithm of a tensor in base 10
Logarithm of a tensor in base 2
Logical AND of two tensors
Logical NOT of a tensor
all
All dims
any
Convert tensor to boolean type
MNIST database of handwritten digits
Dimensions of a tensor
Subtract two tensors
Compares two tensors if equal
Subset tensors with [
Two tensor operations
Tensor multiplication
Torch configuration information
Tensor extract options
Size of a torch tensor object
'R' implementation and interface of the Machine Learning platform 'PyTorch' <https://pytorch.org/> developed in 'Python'. It requires a 'conda' environment with 'torch' and 'torchvision' Python packages to provide 'PyTorch' functions, methods and classes. The key object in 'PyTorch' is the tensor which is in essence a multidimensional array. These tensors are fairly flexible in performing calculations in CPUs as well as 'GPUs' to accelerate tensor operations.