Write an image summary.
tf.compat.v2.summary.image(
name, data, step=None, max_outputs=3, description=None
)
Arguments |
|---|
name
|
A name for this summary. The summary tag used for TensorBoard will
be this name prefixed by any active name scopes.
|
data
|
A Tensor representing pixel data with shape [k, h, w, c],
where k is the number of images, h and w are the height and
width of the images, and c is 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).
|
step
|
Explicit int64-castable monotonic step value for this summary. If
omitted, this defaults to tf.summary.experimental.get_step(), which must
not be None.
|
max_outputs
|
Optional int or rank-0 integer Tensor. At most this
many images will be emitted at each step. When more than
max_outputs many images are provided, the first max_outputs many
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.
|
Returns |
|---|
|
True on success, or false if no summary was emitted because no default
summary writer was available.
|
View source on GitHub