tf_extract_opts: Tensor extract options

In tensorflow: R Interface to 'TensorFlow'

Tensor extract options

Description

Tensor extract options

Usage

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

Value

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)

tensorflow documentation built on May 29, 2024, 2:13 a.m.