Logging Ops

Summary

Variables
`Arguments`	`audio *If max_outputs is greater the summary value tags are generated sequentially as tag tag etc **`
`audio`	`audio *If max_outputs is greater the summary value tags are generated sequentially as tag `
`bad_color_ = Input::Initializer({255, 0, 0, 255}, {4}).AsTensorProto()`	`TensorProto`
`image`	`image *If max_images is greater the summary value tags are generated sequentially as tag `
`max_images_ = 3`	`int64`
`max_outputs_ = x`	`ret`
`operation`	`Operation`
`ret`	`return`
`sample_rate`	`audio *If max_outputs is greater the summary value tags are generated sequentially as tag tag etc frames **`
`summary`	`::tensorflow::Output`
`than`	`audio **If max_outputs is greater` Outputs a `Summary` protocol buffer with audio.

Functions
`AudioSummary(const ::tensorflow::Scope & scope, ::tensorflow::Input tag, ::tensorflow::Input tensor, ::tensorflow::Input sample_rate)`
`AudioSummary(const ::tensorflow::Scope & scope, ::tensorflow::Input tag, ::tensorflow::Input tensor, ::tensorflow::Input sample_rate, const AudioSummary::Attrs & attrs)`
`BadColor(const TensorProto & x)`	`TF_MUST_USE_RESULT Attrs` Color to use for pixels with non-finite values.
`ImageSummary(const ::tensorflow::Scope & scope, ::tensorflow::Input tag, ::tensorflow::Input tensor)`
`ImageSummary(const ::tensorflow::Scope & scope, ::tensorflow::Input tag, ::tensorflow::Input tensor, const ImageSummary::Attrs & attrs)`
`MaxImages(int64 x)`	`Attrs`
`MaxOutputs(int64 x)`	`Attrs`
`node() const`	`::tensorflow::Node *`
`range(It represents the value of a pixel in the output image).Non-finite values in the input tensor are replaced by this tensor in the output image.The default value is the color red.*Arguments`	`image *If max_images is greater the summary value tags are generated sequentially as tag tag etc *The bad_color argument is the color to use in the generated images for non finite input values It is a uint8 D tensor of length channels *Each element must be in the` Max number of batch elements to generate images for.

Classes
tensorflow::ops::Assert	Asserts that the given condition is true.
tensorflow::ops::HistogramSummary	Outputs a `Summary` protocol buffer with a histogram.
tensorflow::ops::MergeSummary	Merges summaries.
tensorflow::ops::Print	Prints a list of tensors.
tensorflow::ops::PrintV2	Prints a string scalar.
tensorflow::ops::ScalarSummary	Outputs a `Summary` protocol buffer with scalar values.
tensorflow::ops::TensorSummary	Outputs a `Summary` protocol buffer with a tensor.
tensorflow::ops::TensorSummaryV2	Outputs a `Summary` protocol buffer with a tensor and per-plugin data.
tensorflow::ops::Timestamp	Provides the time since epoch in seconds.

Variables

Arguments

audio **If max_outputs is greater the summary value tags are *generated sequentially as *tag *tag etc ** Arguments

audio

audio **If max_outputs is greater the summary value tags are *generated sequentially as *tag * audio

bad_color_

TensorProto bad_color_ = Input::Initializer({255, 0, 0, 255}, {4}).AsTensorProto()

image

image **If max_images is greater the summary value tags are *generated sequentially as *tag * image

max_images_

int64 max_images_ = 3

max_outputs_

ret max_outputs_ = x

operation

Operation operation

ret

return ret

sample_rate

audio **If max_outputs is greater the summary value tags are *generated sequentially as *tag *tag etc frames ** sample_rate

summary

::tensorflow::Output summary

than

audio **If max_outputs is greater than

Outputs a Summary protocol buffer with audio.

Outputs a Summary protocol buffer with images.

The summary has up to max_outputs summary values containing audio. The audio is built from tensor which must be 3-D with shape [batch_size, frames, channels] or 2-D with shape [batch_size, frames]. The values are assumed to be in the range of [-1.0, 1.0] with a sample rate of sample_rate.

The tag argument is a scalar Tensor of type string. It is used to build the tag of the summary values:

If max_outputs is 1, the summary value tag is '*tag

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

Functions

AudioSummary

 AudioSummary(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input tag,
  ::tensorflow::Input tensor,
  ::tensorflow::Input sample_rate
)

AudioSummary

 AudioSummary(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input tag,
  ::tensorflow::Input tensor,
  ::tensorflow::Input sample_rate,
  const AudioSummary::Attrs & attrs
)

BadColor

TF_MUST_USE_RESULT Attrs BadColor(
  const TensorProto & x
)

Color to use for pixels with non-finite values.

Defaults to Tensor

ImageSummary

 ImageSummary(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input tag,
  ::tensorflow::Input tensor
)

ImageSummary

 ImageSummary(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input tag,
  ::tensorflow::Input tensor,
  const ImageSummary::Attrs & attrs
)

MaxImages

Attrs MaxImages(
  int64 x
)

MaxOutputs

Attrs MaxOutputs(
  int64 x
)

node

::tensorflow::Node * node() const

range

image **If max_images is greater the summary value tags are *generated sequentially as *tag *tag etc **The bad_color argument is the color to use in the generated images for *non finite input values It is a uint8 D tensor of length channels *Each element must be in the range(
  It represents the value of a *pixel in the output image
).Non-finite values in the input tensor are *replaced by this tensor in the output image.The default value is the color *red.**Arguments

Max number of batch elements to generate images for.

Defaults to 3

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/cc/group/logging-ops