Merge branch 'release/v0.0.3'

Author: f0nzie

.Rbuildignore

@@ -15,3 +15,4 @@ _pkgdown.yaml
 ^.git
 ^\.travis\.yml$
 ^appveyor\.yml$
+^cran-comments\.md$

DESCRIPTION

@@ -1,17 +1,17 @@
 Package: rTorch
 Title: R Bindings to 'PyTorch'
-Version: 0.0.2
+Version: 0.0.3
 Authors@R: c(
     person("Alfonso R.", "Reyes", role = c("aut", "cre", "cph"), email = "[email protected]"),
     person("Daniel", "Falbel", role = c("ctb", "cph"), email = "[email protected]"),
     person("JJ", "Allaire", role = c("ctb", "cph"))
     )
-Description: R implementation and interface of the Machine Learning platform 
-    'PyTorch' <https://pytorch.org/> developed in Python. It requires a 'conda'
+Description: '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' 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 to perform
-    calculations in CPUs as well as 'GPUs'.
+    calculations in CPUs as well as 'GPUs' to accelerate the process.
 License: MIT + file LICENSE
 Encoding: UTF-8
 LazyData: true

NEWS.md

@@ -1,3 +1,19 @@
+# rTorch 0.0.3
+* 20190802
+* Released to CRAN at 15:20
+
+
+# rTorch 0.0.2.9000
+* 20190802
+* Returned from CRAN with notes
+* Fix single quotes in DESCRIPTION
+* Change `\dontrun` by `\donttest` where applicable
+* Get rid of a warning message
+* Replace print/cat by message/warning
+* Add `\value` to all functions with `@return`
+* Added `cran-comments.md`
+
+
 # rTorch 0.0.2
 * July 31 2019
 * Submitted to CRAN at 15:30. Received. Waiting manual inspection.

R/extract.R

@@ -10,7 +10,7 @@
 #' @export
 #'
 #' @examples
-#' \dontrun{
+#' \donttest{
 #' sess <- tf$Session()
 #'
 #' x <- tf$constant(1:15, shape = c(3, 5))
@@ -159,7 +159,7 @@
 #' @export
 #'
 #' @examples
-#' \dontrun{
+#' \donttest{
 #' x <- tf$constant(1:10)
 #'
 #' opts <-  torch_extract_opts("R")
@@ -252,15 +252,15 @@ torch_extract_opts <- function(
 #'
 #' @export
 #' @examples
-#' \dontrun{
+#' \donttest{
 #' # in python, if x is a numpy array or torch tensor
 #' x[..., i]
 #' # the ellipsis means "expand to match number of dimension of x".
 #' # to translate the above python expression to R, write:
 #' x[all_dims(), i]
 #' }
 #' @examples
-#' \dontrun{
+#' \donttest{
 #' # Run this
 #' d <- torch$tensor(list(list(0, 0),
 #'                        list(0, 0),