wehub-resource-sync
57 lines
2.0 KiB
Swift
57 lines
2.0 KiB
Swift
// Copyright 2018 Google Inc. All rights reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at:
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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import Foundation
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import TensorFlowLiteC
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/// A TensorFlow Lite model used by the `Interpreter` to perform inference.
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final class Model {
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/// The `TfLiteModel` C pointer type represented as an `UnsafePointer<TfLiteModel>`.
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typealias CModel = OpaquePointer
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/// The underlying `TfLiteModel` C pointer.
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let cModel: CModel?
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/// The underlying data if data init is used
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/// From c_api.h: The caller retains ownership of the `model_data` and should ensure that
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// the lifetime of the `model_data` must be at least as long as the lifetime
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// of the `TfLiteModel`.
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let data: Data?
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/// Creates a new instance with the given `filePath`.
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///
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/// - Precondition: Initialization can fail if the given `filePath` is invalid.
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/// - Parameters:
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/// - filePath: The local file path to a TensorFlow Lite model.
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init?(filePath: String) {
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guard !filePath.isEmpty, let cModel = TfLiteModelCreateFromFile(filePath) else { return nil }
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self.cModel = cModel
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self.data = nil
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}
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/// Creates a new instance with the given `modelData`.
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///
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/// - Precondition: Initialization can fail if the given `modelData` is invalid.
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/// - Parameters:
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/// - modelData: Binary data representing a TensorFlow Lite model.
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init?(modelData: Data) {
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self.data = modelData
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self.cModel = modelData.withUnsafeBytes { TfLiteModelCreate($0, modelData.count) }
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}
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deinit {
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TfLiteModelDelete(cModel)
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}
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}
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