For compatibility purposes, when invoked in TF2 where the outermost context is
eager mode, this API will check if there is a suitable TF2 summary writer
context available, and if so will forward this call to that writer instead. A
"suitable" writer context means that the writer is set as the default writer,
and there is an associated non-empty value for step (see
tf.summary.SummaryWriter.as_default, tf.summary.experimental.set_step or
alternatively tf.compat.v1.train.create_global_step). For the forwarded
call, the arguments here will be passed to the TF2 implementation of
tf.summary.audio, and the return value will be an empty bytestring tensor,
to avoid duplicate summary writing. This forwarding is best-effort and not all
arguments will be preserved. Additionally:
The TF2 op just outputs the data under a single tag that contains multiple
samples, rather than multiple tags (i.e. no "/0" or "/1" suffixes).
Input for this argument now must be
three-dimensional [k, t, c], where
k is the number of audio clips, t
is the number of frames, and c is
the number of channels. Two-dimensional
input is no longer supported.
Please use tf.name_scope instead to
manage summary name prefix.
-
encoding
Optional constant str for the desired
encoding. Check the docs for
tf.summary.audio for latest supported
audio formats.
-
description
Optional long-form str description
for the summary. Markdown is supported.
Defaults to empty.
Description
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 in the outputted Summary.Value protobufs is generated based on the
name, with a suffix depending on the max_outputs setting:
If max_outputs is 1, the summary value tag is 'name/audio'.
If max_outputs is greater than 1, the summary value tags are
generated sequentially as 'name/audio/0', 'name/audio/1', etc
Args
name
A name for the generated node. Will also serve as a series name in
TensorBoard.
tensor
A 3-D float32Tensor of shape [batch_size, frames, channels]
or a 2-D float32Tensor of shape [batch_size, frames].
sample_rate
A Scalar float32Tensor indicating the sample rate of the
signal in hertz.
max_outputs
Max number of batch elements to generate audio for.
collections
Optional list of ops.GraphKeys. The collections to add the
summary to. Defaults to [_ops.GraphKeys.SUMMARIES]
family
Optional; if provided, used as the prefix of the summary tag name,
which controls the tab name used for display on Tensorboard.
Returns
A scalar Tensor of type string. The serialized Summary protocol
buffer.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.compat.v1.summary.audio\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/summary/summary.py#L347-L464) |\n\nOutputs a `Summary` protocol buffer with audio. \n\n tf.compat.v1.summary.audio(\n name, tensor, sample_rate, max_outputs=3, collections=None, family=None\n )\n\n\u003cbr /\u003e\n\nMigrate to TF2\n--------------\n\n\u003cbr /\u003e\n\n| **Caution:** This API was designed for TensorFlow v1. Continue reading for details on how to migrate from this API to a native TensorFlow v2 equivalent. See the [TensorFlow v1 to TensorFlow v2 migration guide](https://www.tensorflow.org/guide/migrate) for instructions on how to migrate the rest of your code.\n\nFor compatibility purposes, when invoked in TF2 where the outermost context is\neager mode, this API will check if there is a suitable TF2 summary writer\ncontext available, and if so will forward this call to that writer instead. A\n\"suitable\" writer context means that the writer is set as the default writer,\nand there is an associated non-empty value for `step` (see\n[`tf.summary.SummaryWriter.as_default`](../../../../tf/summary/SummaryWriter#as_default), [`tf.summary.experimental.set_step`](../../../../tf/summary/experimental/set_step) or\nalternatively [`tf.compat.v1.train.create_global_step`](../../../../tf/compat/v1/train/create_global_step)). For the forwarded\ncall, the arguments here will be passed to the TF2 implementation of\n[`tf.summary.audio`](../../../../tf/summary/audio), and the return value will be an empty bytestring tensor,\nto avoid duplicate summary writing. This forwarding is best-effort and not all\narguments will be preserved. Additionally:\n\n- The TF2 op just outputs the data under a single tag that contains multiple samples, rather than multiple tags (i.e. no \"/0\" or \"/1\" suffixes).\n\nTo migrate to TF2, please use [`tf.summary.audio`](../../../../tf/summary/audio) instead. Please check\n[Migrating tf.summary usage to\nTF 2.0](https://www.tensorflow.org/tensorboard/migrate#in_tf_1x) for concrete\nsteps for migration.\n\n#### How to Map Arguments\n\n| TF1 Arg Name | TF2 Arg Name | Note |\n|---------------|---------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `name` | `name` | - |\n| `tensor` | `data` | Input for this argument now must be three-dimensional `[k, t, c]`, where `k` is the number of audio clips, `t` is the number of frames, and `c` is the number of channels. Two-dimensional input is no longer supported. |\n| `sample_rate` | `sample_rate` | - |\n| - | `step` | Explicit int64-castable monotonic step value. If omitted, this defaults to [`tf.summary.experimental.get_step()`](../../../../tf/summary/experimental/get_step). |\n| `max_outputs` | `max_outputs` | - |\n| `collections` | Not Supported | - |\n| `family` | Removed | Please use [`tf.name_scope`](../../../../tf/name_scope) instead to manage summary name prefix. |\n| - | `encoding` | Optional constant str for the desired encoding. Check the docs for [`tf.summary.audio`](../../../../tf/summary/audio) for latest supported audio formats. |\n| - | `description` | Optional long-form `str` description for the summary. Markdown is supported. Defaults to empty. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\nDescription\n-----------\n\nThe summary has up to `max_outputs` summary values containing audio. The\naudio is built from `tensor` which must be 3-D with shape `[batch_size,\nframes, channels]` or 2-D with shape `[batch_size, frames]`. The values are\nassumed to be in the range of `[-1.0, 1.0]` with a sample rate of\n`sample_rate`.\n\nThe `tag` in the outputted Summary.Value protobufs is generated based on the\nname, with a suffix depending on the max_outputs setting:\n\n- If `max_outputs` is 1, the summary value tag is '*name*/audio'.\n- If `max_outputs` is greater than 1, the summary value tags are generated sequentially as '*name* /audio/0', '*name*/audio/1', etc\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------|---------------------------------------------------------------------------------------------------------------------------------|\n| `name` | A name for the generated node. Will also serve as a series name in TensorBoard. |\n| `tensor` | A 3-D `float32` `Tensor` of shape `[batch_size, frames, channels]` or a 2-D `float32` `Tensor` of shape `[batch_size, frames]`. |\n| `sample_rate` | A Scalar `float32` `Tensor` indicating the sample rate of the signal in hertz. |\n| `max_outputs` | Max number of batch elements to generate audio for. |\n| `collections` | Optional list of ops.GraphKeys. The collections to add the summary to. Defaults to \\[_ops.GraphKeys.SUMMARIES\\] |\n| `family` | Optional; if provided, used as the prefix of the summary tag name, which controls the tab name used for display on Tensorboard. |\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"]]