R/elasticinference_interfaces.R

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

# This file is generated by make.paws. Please do not edit here.
#' @importFrom paws.common populate
#' @include elasticinference_service.R
NULL

.elasticinference$describe_accelerator_offerings_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(locationType = structure(logical(0), tags = list(type = "string")), acceleratorTypes = structure(list(structure(logical(0), tags = list(type = "string"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.elasticinference$describe_accelerator_offerings_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(acceleratorTypeOfferings = structure(list(structure(list(acceleratorType = structure(logical(0), tags = list(type = "string")), locationType = structure(logical(0), tags = list(type = "string")), location = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.elasticinference$describe_accelerator_types_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(), tags = list(type = "structure"))
  return(populate(args, shape))
}

.elasticinference$describe_accelerator_types_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(acceleratorTypes = structure(list(structure(list(acceleratorTypeName = structure(logical(0), tags = list(type = "string")), memoryInfo = structure(list(sizeInMiB = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure")), throughputInfo = structure(list(structure(list(key = structure(logical(0), tags = list(type = "string")), value = structure(logical(0), tags = list(type = "integer"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))), tags = list(type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.elasticinference$describe_accelerators_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(acceleratorIds = structure(list(structure(logical(0), tags = list(type = "string"))), tags = list(type = "list")), filters = structure(list(structure(list(name = structure(logical(0), tags = list(type = "string")), values = structure(list(structure(logical(0), tags = list(type = "string"))), tags = list(type = "list"))), tags = list(type = "structure"))), tags = list(type = "list")), maxResults = structure(logical(0), tags = list(type = "integer")), nextToken = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.elasticinference$describe_accelerators_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(acceleratorSet = structure(list(structure(list(acceleratorHealth = structure(list(status = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure")), acceleratorType = structure(logical(0), tags = list(type = "string")), acceleratorId = structure(logical(0), tags = list(type = "string")), availabilityZone = structure(logical(0), tags = list(type = "string")), attachedResource = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))), tags = list(type = "list")), nextToken = structure(logical(0), tags = list(type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.elasticinference$list_tags_for_resource_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(resourceArn = structure(logical(0), tags = list(location = "uri", locationName = "resourceArn", type = "string"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.elasticinference$list_tags_for_resource_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(tags = structure(list(structure(logical(0), tags = list(type = "string"))), tags = list(type = "map"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.elasticinference$tag_resource_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(resourceArn = structure(logical(0), tags = list(location = "uri", locationName = "resourceArn", type = "string")), tags = structure(list(structure(logical(0), tags = list(type = "string"))), tags = list(type = "map"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.elasticinference$tag_resource_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(), tags = list(type = "structure"))
  return(populate(args, shape))
}

.elasticinference$untag_resource_input <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(resourceArn = structure(logical(0), tags = list(location = "uri", locationName = "resourceArn", type = "string")), tagKeys = structure(list(structure(logical(0), tags = list(type = "string"))), tags = list(location = "querystring", locationName = "tagKeys", type = "list"))), tags = list(type = "structure"))
  return(populate(args, shape))
}

.elasticinference$untag_resource_output <- function(...) {
  args <- c(as.list(environment()), list(...))
  shape <- structure(list(), tags = list(type = "structure"))
  return(populate(args, shape))
}