55 lines
1.9 KiB
TypeScript
55 lines
1.9 KiB
TypeScript
/**
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* @license
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* Copyright 2019 Google LLC. All Rights Reserved.
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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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* =============================================================================
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*/
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import * as tf from '@tensorflow/tfjs-core';
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/**
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* A dataset for webcam controls which allows the user to add example Tensors
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* for particular labels. This object will concat them into two large xs and ys.
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*/
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export class Dataset {
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xs: tf.Tensor;
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ys: tf.Tensor;
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constructor(public numClasses: number) {}
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/**
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* Adding data pair to the dataset, examples and labels should have the
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* matching shape. For example, if the input shape is [2, 20, 20], 2 is the
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* batch size, the labels shape should be [2,10] (num of classes is 10).
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*
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* @param examples Batch of inputs
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* @param labels Matching labels for inputs
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*/
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addExamples(examples: tf.Tensor, labels: tf.Tensor) {
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if (this.xs == null) {
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// For the first example that gets added, keep example and y so that the
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// Dataset owns the memory of the inputs. This makes sure that
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// if addExample() is called in a tf.tidy(), these Tensors will not get
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// disposed.
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this.xs = tf.keep(examples);
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this.ys = tf.keep(labels);
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} else {
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const oldX = this.xs;
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this.xs = tf.keep(this.xs.concat(examples, 0));
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const oldY = this.ys;
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this.ys = tf.keep(oldY.concat(labels, 0));
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oldX.dispose();
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oldY.dispose();
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}
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}
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}
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