Summary protocol buffer with images. (deprecated)
THIS FUNCTION IS DEPRECATED. It will be removed after 2016-11-30. Instructions for updating: Please switch to tf.summary.image. Note that tf.summary.image uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, the max_images argument was renamed to max_outputs.
For an explanation of why this op was deprecated, and information on how to migrate, look 'here'
The summary has up to
max_images summary values containing images. The
images are built from
tensor which must be 4-D with shape
height, width, channels] and where
channels can be:
tensoris interpreted as Grayscale.
tensoris interpreted as RGB.
tensoris interpreted as RGBA.
The images have the same number of channels as the input tensor. For float
input, the values are normalized one image at a time to fit in the range
uint8 values are unchanged. The op uses two different
If the input values are all positive, they are rescaled so the largest one is 255.
If any input value is negative, the values are shifted so input value 0.0 is at 127. They are then rescaled so that either the smallest value is 0, or the largest one is 255.
tag argument is a scalar
Tensor of type
string. It is used to
tag of the summary values:
max_imagesis 1, the summary value tag is 'tag/image'.
max_imagesis greater than 1, the summary value tags are generated sequentially as 'tag/image/0', 'tag/image/1', etc.
tag: A scalar
string. Used to build the
tagof the summary values.
tensor: A 4-D
[batch_size, height, width, channels]where
channelsis 1, 3, or 4.
max_images: Max number of batch elements to generate images for.
collections: Optional list of ops.GraphKeys. The collections to add the summary to. Defaults to [ops.GraphKeys.SUMMARIES]
name: A name for the operation (optional).
Tensor of type
string. The serialized