remove non-ascii characters

Author: sebffischer

DESCRIPTION

@@ -78,7 +78,7 @@ NeedsCompilation: no
 ByteCompile: yes
 Encoding: UTF-8
 Roxygen: list(markdown = TRUE, r6 = TRUE)
-RoxygenNote: 7.3.2
+RoxygenNote: 7.3.2.9000
 Collate:
     'CallbackSet.R'
     'aaa.R'

R/PipeOpTorchActivation.R

@@ -157,7 +157,7 @@ register_po("nn_hardtanh", PipeOpTorchHardTanh)
 #' * `negative_slope` :: `numeric(1)`\cr
 #'   Controls the angle of the negative slope. Default: 1e-2.
 #' * `inplace` :: `logical(1)`\cr
-#'   Can optionally do the operation in-place. Default: ‘FALSE’.
+#'   Can optionally do the operation in-place. Default: `FALSE`.
 #' @templateVar id nn_leaky_relu
 #' @template pipeop_torch_channels_default
 #' @template pipeop_torch
@@ -727,7 +727,7 @@ register_po("nn_tanhshrink", PipeOpTorchTanhShrink)
 #' * `value` :: `numeric(1)`\cr
 #'   The value to replace with.
 #' * `inplace` :: `logical(1)`\cr
-#'   Can optionally do the operation in-place. Default: ‘FALSE’.
+#'   Can optionally do the operation in-place. Default: `FALSE`.
 #' @templateVar id nn_threshold
 #' @template pipeop_torch_channels_default
 #' @templateVar param_vals threshold = 1, value = 2

R/PipeOpTorchConv.R

@@ -66,11 +66,11 @@ PipeOpTorchConv = R6Class("PipeOpTorchConv",
 #' * `stride` :: `integer()`\cr
 #'   Stride of the convolution. The default is 1.
 #' * `padding` :: `integer()`\cr
-#'  ‘dilation * (kernel_size - 1) - padding’ zero-padding will be added to both sides of the input. Default: 0.
+#'  `dilation * (kernel_size - 1) - padding` zero-padding will be added to both sides of the input. Default: 0.
 #' * `groups` :: `integer()`\cr
 #'   Number of blocked connections from input channels to output channels. Default: 1
 #' * `bias` :: `logical(1)`\cr
-#'   If ‘TRUE’, adds a learnable bias to the output. Default: ‘TRUE’.
+#'   If `TRUE`, adds a learnable bias to the output. Default: `TRUE`.
 #' * `dilation` :: `integer()`\cr
 #'   Spacing between kernel elements. Default: 1.
 #' * `padding_mode` :: `character(1)`\cr

R/PipeOpTorchConvTranspose.R

@@ -72,13 +72,13 @@ PipeOpTorchConvTranspose = R6Class("PipeOpTorchConvTranspose",
 #' * `stride` :: `integer()`\cr
 #'   Stride of the convolution. Default: 1.
 #' * `padding` :: ` `integer()`\cr
-#'  ‘dilation * (kernel_size - 1) - padding’ zero-padding will be added to both sides of the input. Default: 0.
+#'  `dilation * (kernel_size - 1) - padding` zero-padding will be added to both sides of the input. Default: 0.
 #' * `output_padding` ::`integer()`\cr
 #'   Additional size added to one side of the output shape. Default: 0.
 #' * `groups` :: `integer()`\cr
 #'   Number of blocked connections from input channels to output channels. Default: 1
 #' * `bias` :: `logical(1)`\cr
-#'   If ‘True’, adds a learnable bias to the output. Default: ‘TRUE’.
+#'   If `True`, adds a learnable bias to the output. Default: `TRUE`.
 #' * `dilation` :: `integer()`\cr
 #'   Spacing between kernel elements. Default: 1.
 #' * `padding_mode` :: `character(1)`\cr

R/PipeOpTorchMaxPool.R

@@ -68,7 +68,7 @@ max_output_shape = avg_output_shape
 #' * `padding` :: `integer()`\cr
 #'  Implicit zero paddings on both sides of the input. Can be a single number or a tuple (padW,). Default: 0
 #' * `dilation` :: `integer()`\cr
-#'   Controls the spacing between the kernel points; also known as the à trous algorithm. Default: 1
+#'   Controls the spacing between the kernel points; also known as the a trous algorithm. Default: 1
 #' * `ceil_mode` :: `logical(1)`\cr
 #'   When True, will use ceil instead of floor to compute the output shape. Default: `FALSE`
 #'

README.Rmd

@@ -231,7 +231,7 @@ questions, suggestions or feedback, please do not hesitate to open an
 “issue” about it on the GitHub page\!
 
 In case of problems / bugs, it is often helpful if you provide a
-“minimum working example” that showcases the behaviour (but don’t
+"minimum working example" that showcases the behaviour (but don't
 worry about this if the bug is obvious).
 
 Please understand that the resources of the project are limited: