Write an audio summary.
tf.compat.v2.summary.audio(
name, data, sample_rate, step=None, max_outputs=3, encoding=None,
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 audio data with shape [k, t, c],
where k is the number of audio clips, t is the number of
frames, and c is the number of channels. Elements should be
floating-point values in [-1.0, 1.0]. Any of the dimensions may
be statically unknown (i.e., None).
|
sample_rate
|
An int or rank-0 int32 Tensor that represents the
sample rate, in Hz. Must be positive.
|
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 audio clips will be emitted at each step. When more than
max_outputs many clips are provided, the first max_outputs
many clips will be used and the rest silently discarded.
|
encoding
|
Optional constant str for the desired encoding. Only "wav"
is currently supported, but this is not guaranteed to remain the
default, so if you want "wav" in particular, set this explicitly.
|
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