tf_extract_opts function

Tensor extract options

tf_extract_opts(
  style = getOption("tensorflow.extract.style"),
  ...,
  one_based = getOption("tensorflow.extract.one_based", TRUE),
  inclusive_stop = getOption("tensorflow.extract.inclusive_stop", TRUE),
  disallow_out_of_bounds = getOption("tensorflow.extract.dissallow_out_of_bounds", TRUE),
  warn_tensors_passed_asis = getOption("tensorflow.extract.warn_tensors_passed_asis",
    TRUE),
  warn_negatives_pythonic = getOption("tensorflow.extract.warn_negatives_pythonic", TRUE)
)

Arguments

• style: one of NULL (the default) "R" or "python". If supplied, this overrides all other options. "python" is equivalent to all the other arguments being FALSE. "R" is equivalent to warn_tensors_passed_asis and warn_negatives_pythonic

  set to FALSE

• ...: ignored

• one_based: TRUE or FALSE, if one-based indexing should be used

• inclusive_stop: TRUE or FALSE, if slices like start:stop should be inclusive of stop

• disallow_out_of_bounds: TRUE or FALSE, whether checks are performed on the slicing index to ensure it is within bounds.

• warn_tensors_passed_asis: TRUE or FALSE, whether to emit a warning the first time a tensor is supplied to [ that tensors are passed as-is, with no R to python translation

• warn_negatives_pythonic: TRUE or FALSE, whether to emit a warning the first time a negative number is supplied to [ about the non-standard (python-style) interpretation

Returns

an object with class "tf_extract_opts", suitable for passing to [.tensorflow.tensor()

Examples

## Not run:

x <- tf$constant(1:10)

opts <-  tf_extract_opts("R")
x[1, options = opts]

# or for more fine-grained control
opts <- tf_extract_opts(
    one_based = FALSE,
    warn_tensors_passed_asis = FALSE,
    warn_negatives_pythonic = FALSE
)
x[0:2, options = opts]
## End(Not run)