From c276876a4ab1ebedf2b847d9ac12d019d6a16cff Mon Sep 17 00:00:00 2001 From: "A. Unique TensorFlower" Date: Tue, 17 Jan 2017 12:07:37 -0800 Subject: Update generated Python Op docs. Change: 144739269 --- .../g3doc/api_docs/python/contrib.metrics.md | 32 +++++++++++----------- .../tf.contrib.metrics.streaming_true_positives.md | 8 +++--- ...tf.contrib.metrics.streaming_false_positives.md | 8 +++--- .../tf.contrib.metrics.streaming_true_negatives.md | 8 +++--- ...tf.contrib.metrics.streaming_false_negatives.md | 8 +++--- 5 files changed, 32 insertions(+), 32 deletions(-) diff --git a/tensorflow/g3doc/api_docs/python/contrib.metrics.md b/tensorflow/g3doc/api_docs/python/contrib.metrics.md index 4d6cf8625c..1537865fc6 100644 --- a/tensorflow/g3doc/api_docs/python/contrib.metrics.md +++ b/tensorflow/g3doc/api_docs/python/contrib.metrics.md @@ -1469,10 +1469,10 @@ If `weights` is `None`, weights default to 1. Use weights of 0 to mask values. ##### Args: -* `predictions`: The predicted values, a `bool` `Tensor` of arbitrary - dimensions. -* `labels`: The ground truth values, a `bool` `Tensor` whose dimensions must - match `predictions`. +* `predictions`: The predicted values, a `Tensor` of arbitrary dimensions. Will + be cast to `bool`. +* `labels`: The ground truth values, a `Tensor` whose dimensions must match + `predictions`. Will be cast to `bool`. * `weights`: Optional `Tensor` whose rank is either 0, or the same rank as `labels`, and must be broadcastable to `labels` (i.e., all dimensions must be either `1`, or the same as the corresponding `labels` @@ -1515,10 +1515,10 @@ If `weights` is `None`, weights default to 1. Use weights of 0 to mask values. ##### Args: -* `predictions`: The predicted values, a `bool` `Tensor` of arbitrary - dimensions. -* `labels`: The ground truth values, a `bool` `Tensor` whose dimensions must - match `predictions`. +* `predictions`: The predicted values, a `Tensor` of arbitrary dimensions. Will + be cast to `bool`. +* `labels`: The ground truth values, a `Tensor` whose dimensions must match + `predictions`. Will be cast to `bool`. * `weights`: Optional `Tensor` whose rank is either 0, or the same rank as `labels`, and must be broadcastable to `labels` (i.e., all dimensions must be either `1`, or the same as the corresponding `labels` @@ -1562,10 +1562,10 @@ If `weights` is `None`, weights default to 1. Use weights of 0 to mask values. ##### Args: -* `predictions`: The predicted values, a `bool` `Tensor` of arbitrary - dimensions. -* `labels`: The ground truth values, a `bool` `Tensor` whose dimensions must - match `predictions`. +* `predictions`: The predicted values, a `Tensor` of arbitrary dimensions. Will + be cast to `bool`. +* `labels`: The ground truth values, a `Tensor` whose dimensions must match + `predictions`. Will be cast to `bool`. * `weights`: Optional `Tensor` whose rank is either 0, or the same rank as `labels`, and must be broadcastable to `labels` (i.e., all dimensions must be either `1`, or the same as the corresponding `labels` @@ -1609,10 +1609,10 @@ If `weights` is `None`, weights default to 1. Use weights of 0 to mask values. ##### Args: -* `predictions`: The predicted values, a `bool` `Tensor` of arbitrary - dimensions. -* `labels`: The ground truth values, a `bool` `Tensor` whose dimensions must - match `predictions`. +* `predictions`: The predicted values, a `Tensor` of arbitrary dimensions. Will + be cast to `bool`. +* `labels`: The ground truth values, a `Tensor` whose dimensions must match + `predictions`. Will be cast to `bool`. * `weights`: Optional `Tensor` whose rank is either 0, or the same rank as `labels`, and must be broadcastable to `labels` (i.e., all dimensions must be either `1`, or the same as the corresponding `labels` diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.metrics.streaming_true_positives.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.metrics.streaming_true_positives.md index aa3019dbf4..a022639c94 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.metrics.streaming_true_positives.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.metrics.streaming_true_positives.md @@ -7,10 +7,10 @@ If `weights` is `None`, weights default to 1. Use weights of 0 to mask values. ##### Args: -* `predictions`: The predicted values, a `bool` `Tensor` of arbitrary - dimensions. -* `labels`: The ground truth values, a `bool` `Tensor` whose dimensions must - match `predictions`. +* `predictions`: The predicted values, a `Tensor` of arbitrary dimensions. Will + be cast to `bool`. +* `labels`: The ground truth values, a `Tensor` whose dimensions must match + `predictions`. Will be cast to `bool`. * `weights`: Optional `Tensor` whose rank is either 0, or the same rank as `labels`, and must be broadcastable to `labels` (i.e., all dimensions must be either `1`, or the same as the corresponding `labels` diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.metrics.streaming_false_positives.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.metrics.streaming_false_positives.md index c31a7c68dc..d3f748fec7 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.metrics.streaming_false_positives.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.metrics.streaming_false_positives.md @@ -7,10 +7,10 @@ If `weights` is `None`, weights default to 1. Use weights of 0 to mask values. ##### Args: -* `predictions`: The predicted values, a `bool` `Tensor` of arbitrary - dimensions. -* `labels`: The ground truth values, a `bool` `Tensor` whose dimensions must - match `predictions`. +* `predictions`: The predicted values, a `Tensor` of arbitrary dimensions. Will + be cast to `bool`. +* `labels`: The ground truth values, a `Tensor` whose dimensions must match + `predictions`. Will be cast to `bool`. * `weights`: Optional `Tensor` whose rank is either 0, or the same rank as `labels`, and must be broadcastable to `labels` (i.e., all dimensions must be either `1`, or the same as the corresponding `labels` diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.metrics.streaming_true_negatives.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.metrics.streaming_true_negatives.md index d8f12ab9eb..5b9dfd33f4 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.metrics.streaming_true_negatives.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.metrics.streaming_true_negatives.md @@ -7,10 +7,10 @@ If `weights` is `None`, weights default to 1. Use weights of 0 to mask values. ##### Args: -* `predictions`: The predicted values, a `bool` `Tensor` of arbitrary - dimensions. -* `labels`: The ground truth values, a `bool` `Tensor` whose dimensions must - match `predictions`. +* `predictions`: The predicted values, a `Tensor` of arbitrary dimensions. Will + be cast to `bool`. +* `labels`: The ground truth values, a `Tensor` whose dimensions must match + `predictions`. Will be cast to `bool`. * `weights`: Optional `Tensor` whose rank is either 0, or the same rank as `labels`, and must be broadcastable to `labels` (i.e., all dimensions must be either `1`, or the same as the corresponding `labels` diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.metrics.streaming_false_negatives.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.metrics.streaming_false_negatives.md index 878ba46941..1464305257 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.metrics.streaming_false_negatives.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.metrics.streaming_false_negatives.md @@ -7,10 +7,10 @@ If `weights` is `None`, weights default to 1. Use weights of 0 to mask values. ##### Args: -* `predictions`: The predicted values, a `bool` `Tensor` of arbitrary - dimensions. -* `labels`: The ground truth values, a `bool` `Tensor` whose dimensions must - match `predictions`. +* `predictions`: The predicted values, a `Tensor` of arbitrary dimensions. Will + be cast to `bool`. +* `labels`: The ground truth values, a `Tensor` whose dimensions must match + `predictions`. Will be cast to `bool`. * `weights`: Optional `Tensor` whose rank is either 0, or the same rank as `labels`, and must be broadcastable to `labels` (i.e., all dimensions must be either `1`, or the same as the corresponding `labels` -- cgit v1.2.3