Logging Ops

Summary

Variables

Args
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
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.**Args
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

Args 

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

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.**Args

Max number of batch elements to generate images for.

Defaults to 3