tensorflow_similarity/callbacks.py [96:116]:
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        self.targets = targets
        self.target_labels = target_labels
        self.distance = distance
        self.evaluator = MemoryEvaluator()
        # typing requires this weird formulation of creating a new list
        self.metrics: List[ClassificationMetric] = [
            make_classification_metric(m) for m in metrics
        ]
        self.k = k
        self.matcher = matcher
        if distance_thresholds is not None:
            self.distance_thresholds = distance_thresholds
        else:
            self.distance_thresholds = tf.constant([math.inf])

        if tb_logdir:
            tb_logdir = str(Path(tb_logdir) / "index/")
            self.tb_writer = tf.summary.create_file_writer(tb_logdir)
            print("TensorBoard logging enable in %s" % tb_logdir)
        else:
            self.tb_writer = None
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tensorflow_similarity/callbacks.py [231:251]:
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        self.targets = targets
        self.target_labels = target_labels
        self.distance = distance
        self.evaluator = MemoryEvaluator()
        # typing requires this weird formulation of creating a new list
        self.metrics: List[ClassificationMetric] = [
            make_classification_metric(m) for m in metrics
        ]
        self.k = k
        self.matcher = matcher
        if distance_thresholds is not None:
            self.distance_thresholds = distance_thresholds
        else:
            self.distance_thresholds = tf.constant([math.inf])

        if tb_logdir:
            tb_logdir = str(Path(tb_logdir) / "index/")
            self.tb_writer = tf.summary.create_file_writer(tb_logdir)
            print("TensorBoard logging enable in %s" % tb_logdir)
        else:
            self.tb_writer = None
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