|TensorFlow 1 version||View source on GitHub|
Write an image summary.
tf.summary.image( name, data, step=None, max_outputs=3, description=None )
name: A name for this summary. The summary tag used for TensorBoard will be this name prefixed by any active name scopes.
Tensorrepresenting pixel data with shape
[k, h, w, c], where
kis the number of images,
ware the height and width of the images, and
cis the number of channels, which should be 1, 2, 3, or 4 (grayscale, grayscale with alpha, RGB, RGBA). Any of the dimensions may be statically unknown (i.e.,
None). Floating point data will be clipped to the range [0,1).
int64-castable monotonic step value for this summary. If omitted, this defaults to
tf.summary.experimental.get_step(), which must not be None.
intor rank-0 integer
Tensor. At most this many images will be emitted at each step. When more than
max_outputsmany images are provided, the first
max_outputsmany images will be used and the rest silently discarded.
description: Optional long-form description for this summary, as a constant
str. Markdown is supported. Defaults to empty.
True on success, or false if no summary was emitted because no default summary writer was available.
ValueError: if a default writer exists, but no step was provided and