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@ -388,7 +388,7 @@ class TPUEstimatorSpec(collections.namedtuple('TPUEstimatorSpec', [
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`metric_fn` runs on CPU to generate metrics and `tensors` represents the
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`Tensor`s transferred from TPU system to CPU host and passed to `metric_fn`.
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To be precise, TPU evaluation expects a slightly different signature from the
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${tf.estimator.Estimator}. While `EstimatorSpec.eval_metric_ops` expects a
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@{tf.estimator.Estimator}. While `EstimatorSpec.eval_metric_ops` expects a
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dict, `TPUEstimatorSpec.eval_metrics` is a tuple of `metric_fn` and `tensors`.
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The `tensors` could be a list of `Tensor`s or dict of names to `Tensor`s. The
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`tensors` usually specify the model logits, which are transferred back from
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