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 [batch_size,
height, width, channels] and where channels can be:
1: tensor is interpreted as Grayscale.
3: tensor is interpreted as RGB.
4: tensor is 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
[0, 255]. uint8 values are unchanged. The op uses two different
normalization algorithms:
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.
The tag argument is a scalar Tensor of type string. It is used to
build the tag of the summary values:
If max_images is 1, the summary value tag is 'tag/image'.
If max_images is greater than 1, the summary value tags are
generated sequentially as 'tag/image/0', 'tag/image/1', etc.
Args
tag
A scalar Tensor of type string. Used to build the tag of the
summary values.
tensor
A 4-D uint8 or float32Tensor of shape [batch_size, height,
width, channels] where channels is 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).
Returns
A scalar Tensor of type string. The serialized Summary protocol
buffer.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.contrib.deprecated.image_summary\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/ops/logging_ops.py#L439-L498) |\n\nOutputs a `Summary` protocol buffer with images. (deprecated) \n\n tf.contrib.deprecated.image_summary(\n tag, tensor, max_images=3, collections=None, name=None\n )\n\n| **Warning:** 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.\n\nFor an explanation of why this op was deprecated, and information on how to\nmigrate, look\n['here'](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/deprecated/__init__.py)\n\nThe summary has up to `max_images` summary values containing images. The\nimages are built from `tensor` which must be 4-D with shape `[batch_size,\nheight, width, channels]` and where `channels` can be:\n\n- 1: `tensor` is interpreted as Grayscale.\n- 3: `tensor` is interpreted as RGB.\n- 4: `tensor` is interpreted as RGBA.\n\nThe images have the same number of channels as the input tensor. For float\ninput, the values are normalized one image at a time to fit in the range\n`[0, 255]`. `uint8` values are unchanged. The op uses two different\nnormalization algorithms:\n\n- If the input values are all positive, they are rescaled so the largest one\n is 255.\n\n- If any input value is negative, the values are shifted so input value 0.0\n is at 127. They are then rescaled so that either the smallest value is 0,\n or the largest one is 255.\n\nThe `tag` argument is a scalar `Tensor` of type `string`. It is used to\nbuild the `tag` of the summary values:\n\n- If `max_images` is 1, the summary value tag is '*tag*/image'.\n- If `max_images` is greater than 1, the summary value tags are generated sequentially as '*tag* /image/0', '*tag*/image/1', etc.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------|----------------------------------------------------------------------------------------------------------------------|\n| `tag` | A scalar `Tensor` of type `string`. Used to build the `tag` of the summary values. |\n| `tensor` | A 4-D `uint8` or `float32` `Tensor` of shape `[batch_size, height, width, channels]` where `channels` is 1, 3, or 4. |\n| `max_images` | Max number of batch elements to generate images for. |\n| `collections` | Optional list of ops.GraphKeys. The collections to add the summary to. Defaults to \\[ops.GraphKeys.SUMMARIES\\] |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A scalar `Tensor` of type `string`. The serialized `Summary` protocol buffer. ||\n\n\u003cbr /\u003e"]]
View source on GitHub