tf.summary.image

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Write an image summary.

tf.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.

Raises:

• ValueError: if a default writer exists, but no step was provided and tf.summary.experimental.get_step() is None.