Python gen_logging_ops._audio_summary_v2方法代码示例

# 需要导入模块: from tensorflow.python.ops import gen_logging_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_logging_ops import _audio_summary_v2 [as 别名]
def audio_summary(tag,
                  tensor,
                  sample_rate,
                  max_outputs=3,
                  collections=None,
                  name=None):
  # pylint: disable=line-too-long
  """Outputs a `Summary` protocol buffer with audio.

  This op is deprecated. Please switch to tf.summary.audio.
  For an explanation of why this op was deprecated, and information on how to
  migrate, look ['here'](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/deprecated/__init__.py)

  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*/audio'.
  *  If `max_outputs` is greater than 1, the summary value tags are
     generated sequentially as '*tag*/audio/0', '*tag*/audio/1', etc.

  Args:
    tag: A scalar `Tensor` of type `string`. Used to build the `tag`
      of the summary values.
    tensor: A 3-D `float32` `Tensor` of shape `[batch_size, frames, channels]`
      or a 2-D `float32` `Tensor` of shape `[batch_size, frames]`.
    sample_rate: A Scalar `float32` `Tensor` 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]
    name: A name for the operation (optional).

  Returns:
    A scalar `Tensor` of type `string`. The serialized `Summary` protocol
    buffer.
  """
  with ops.name_scope(name, "AudioSummary", [tag, tensor]) as scope:
    sample_rate = ops.convert_to_tensor(sample_rate, dtype=dtypes.float32,
                                        name="sample_rate")
    val = gen_logging_ops._audio_summary_v2(tag=tag,
                                            tensor=tensor,
                                            max_outputs=max_outputs,
                                            sample_rate=sample_rate,
                                            name=scope)
    _Collect(val, collections, [ops.GraphKeys.SUMMARIES])
  return val 

# 需要导入模块: from tensorflow.python.ops import gen_logging_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_logging_ops import _audio_summary_v2 [as 别名]
def audio(name, tensor, sample_rate, max_outputs=3, collections=None):
  # pylint: disable=line-too-long
  """Outputs a `Summary` protocol buffer with audio.

  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 `float32` `Tensor` of shape `[batch_size, frames, channels]`
      or a 2-D `float32` `Tensor` of shape `[batch_size, frames]`.
    sample_rate: A Scalar `float32` `Tensor` 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]

  Returns:
    A scalar `Tensor` of type `string`. The serialized `Summary` protocol
    buffer.
  """
  # pylint: enable=line-too-long
  name = _clean_tag(name)
  with _ops.name_scope(name, None, [tensor]) as scope:
    # pylint: disable=protected-access
    sample_rate = _ops.convert_to_tensor(
        sample_rate, dtype=_dtypes.float32, name='sample_rate')
    val = _gen_logging_ops._audio_summary_v2(
        tag=scope.rstrip('/'),
        tensor=tensor,
        max_outputs=max_outputs,
        sample_rate=sample_rate,
        name=scope)
    _collect(val, collections, [_ops.GraphKeys.SUMMARIES])
  return val 

# 需要导入模块: from tensorflow.python.ops import gen_logging_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_logging_ops import _audio_summary_v2 [as 别名]
def audio_summary(tag,
                  tensor,
                  sample_rate,
                  max_outputs=3,
                  collections=None,
                  name=None):
  # pylint: disable=line-too-long
  """Outputs a `Summary` protocol buffer with audio.

  This op is deprecated. Please switch to tf.summary.audio.
  For an explanation of why this op was deprecated, and information on how to
  migrate, look ['here'](https://www.tensorflow.org/code/tensorflow/contrib/deprecated/__init__.py)

  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*/audio'.
  *  If `max_outputs` is greater than 1, the summary value tags are
     generated sequentially as '*tag*/audio/0', '*tag*/audio/1', etc.

  Args:
    tag: A scalar `Tensor` of type `string`. Used to build the `tag`
      of the summary values.
    tensor: A 3-D `float32` `Tensor` of shape `[batch_size, frames, channels]`
      or a 2-D `float32` `Tensor` of shape `[batch_size, frames]`.
    sample_rate: A Scalar `float32` `Tensor` 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]
    name: A name for the operation (optional).

  Returns:
    A scalar `Tensor` of type `string`. The serialized `Summary` protocol
    buffer.
  """
  with ops.name_scope(name, "AudioSummary", [tag, tensor]) as scope:
    sample_rate = ops.convert_to_tensor(sample_rate, dtype=dtypes.float32,
                                        name="sample_rate")
    val = gen_logging_ops._audio_summary_v2(tag=tag,
                                            tensor=tensor,
                                            max_outputs=max_outputs,
                                            sample_rate=sample_rate,
                                            name=scope)
    _Collect(val, collections, [ops.GraphKeys.SUMMARIES])
  return val 

# 需要导入模块: from tensorflow.python.ops import gen_logging_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_logging_ops import _audio_summary_v2 [as 别名]
def audio_summary(tag,
                  tensor,
                  sample_rate,
                  max_outputs=3,
                  collections=None,
                  name=None):
  """Outputs a `Summary` protocol buffer with audio.

  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*/audio'.
  *  If `max_outputs` is greater than 1, the summary value tags are
     generated sequentially as '*tag*/audio/0', '*tag*/audio/1', etc.

  Args:
    tag: A scalar `Tensor` of type `string`. Used to build the `tag`
      of the summary values.
    tensor: A 3-D `float32` `Tensor` of shape `[batch_size, frames, channels]`
      or a 2-D `float32` `Tensor` of shape `[batch_size, frames]`.
    sample_rate: A Scalar `float32` `Tensor` 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]
    name: A name for the operation (optional).

  Returns:
    A scalar `Tensor` of type `string`. The serialized `Summary` protocol
    buffer.
  """
  with ops.name_scope(name, "AudioSummary", [tag, tensor]) as scope:
    sample_rate = ops.convert_to_tensor(sample_rate, dtype=dtypes.float32,
                                        name="sample_rate")
    val = gen_logging_ops._audio_summary_v2(tag=tag,
                                            tensor=tensor,
                                            max_outputs=max_outputs,
                                            sample_rate=sample_rate,
                                            name=scope)
    _Collect(val, collections, [ops.GraphKeys.SUMMARIES])
  return val 

# 需要导入模块: from tensorflow.python.ops import gen_logging_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_logging_ops import _audio_summary_v2 [as 别名]
def audio(name, tensor, sample_rate, max_outputs=3, collections=None,
          family=None):
  # pylint: disable=line-too-long
  """Outputs a `Summary` protocol buffer with audio.

  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 `float32` `Tensor` of shape `[batch_size, frames, channels]`
      or a 2-D `float32` `Tensor` of shape `[batch_size, frames]`.
    sample_rate: A Scalar `float32` `Tensor` 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.
  """
  with _summary_op_util.summary_scope(
      name, family=family, values=[tensor]) as (tag, scope):
    # pylint: disable=protected-access
    sample_rate = _ops.convert_to_tensor(
        sample_rate, dtype=_dtypes.float32, name='sample_rate')
    val = _gen_logging_ops._audio_summary_v2(
        tag=tag, tensor=tensor, max_outputs=max_outputs,
        sample_rate=sample_rate, name=scope)
    _summary_op_util.collect(val, collections, [_ops.GraphKeys.SUMMARIES])
  return val