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// Copyright 2019 The TensorFlow Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// =============================================================================
import Accelerate
import CoreImage
import Foundation
import TensorFlowLite
// MARK: - Data
extension Data {
/// Creates a new buffer by copying the buffer pointer of the given array.
///
/// - Warning: The given array's element type `T` must be trivial in that it can be copied bit
/// for bit with no indirection or reference-counting operations; otherwise, reinterpreting
/// data from the resulting buffer has undefined behavior.
/// - Parameter array: An array with elements of type `T`.
init<T>(copyingBufferOf array: [T]) {
self = array.withUnsafeBufferPointer(Data.init)
}
/// Convert a Data instance to Array representation.
func toArray<T>(type: T.Type) -> [T] where T: AdditiveArithmetic {
var array = [T](repeating: T.zero, count: self.count / MemoryLayout<T>.stride)
_ = array.withUnsafeMutableBytes { self.copyBytes(to: $0) }
return array
}
}
// MARK: - Wrappers
/// Struct for handling multidimension `Data` in flat `Array`.
struct FlatArray<Element: AdditiveArithmetic> {
private var array: [Element]
var dimensions: [Int]
init(tensor: Tensor) {
dimensions = tensor.shape.dimensions
array = tensor.data.toArray(type: Element.self)
}
private func flatIndex(_ index: [Int]) -> Int {
guard index.count == dimensions.count else {
fatalError("Invalid index: got \(index.count) index(es) for \(dimensions.count) index(es).")
}
var result = 0
for i in 0..<dimensions.count {
guard dimensions[i] > index[i] else {
fatalError("Invalid index: \(index[i]) is bigger than \(dimensions[i])")
}
result = dimensions[i] * result + index[i]
}
return result
}
subscript(_ index: Int...) -> Element {
get {
return array[flatIndex(index)]
}
set(newValue) {
array[flatIndex(index)] = newValue
}
}
}
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