def audio(self, name, tensor, sample_rate, max_outputs, family=None):
"""Write an audio summary.
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]`, or
compatible value type.
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.
family: Optional; if provided, used as the prefix of the summary tag name,
which controls the tab name used for display on Tensorboard.
"""
with context.device(self._CPU_DEVICE):
with summary_op_util.summary_scope(
name, family, values=[tensor]) as (tag, scope):
gen_summary_ops.write_audio_summary(
self._resource, self._update_global_step_tensor(),
tag,
_maybe_cpu(tensor),
sample_rate=_maybe_cpu(sample_rate),
max_outputs=max_outputs,
name=scope)
def audio(self, name, tensor, sample_rate, max_outputs, family=None):
"""Write an audio summary.
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]`, or
compatible value type.
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.
family: Optional; if provided, used as the prefix of the summary tag name,
which controls the tab name used for display on Tensorboard.
"""
with context.device(self._CPU_DEVICE):
with summary_op_util.summary_scope(name, family,
values=[tensor]) as (tag,
scope):
gen_summary_ops.write_audio_summary(
self._resource,
self._update_global_step_tensor(),
tag,
_maybe_cpu(tensor),
sample_rate=_maybe_cpu(sample_rate),
max_outputs=max_outputs,
name=scope)
def function(tag, scope):
gen_summary_ops.write_audio_summary(
context.context().summary_writer_resource,
training_util.get_global_step(),
tag,
tensor,
sample_rate=sample_rate,
max_outputs=max_outputs,
name=scope)
def function(tag, scope):
gen_summary_ops.write_audio_summary(
context.context().summary_writer_resource,
training_util.get_global_step(),
tag,
tensor,
sample_rate=sample_rate,
max_outputs=max_outputs,
name=scope)
def record():
with summary_op_util.summary_scope(name, family,
values=[tensor]) as (tag, scope):
gen_summary_ops.write_audio_summary(
context.context().summary_writer_resource,
training_util.get_global_step(),
tag,
tensor,
sample_rate=sample_rate,
max_outputs=max_outputs,
name=scope)
def record():
with summary_op_util.summary_scope(
name, family, values=[tensor]) as (tag, scope):
gen_summary_ops.write_audio_summary(
context.context().summary_writer_resource,
training_util.get_global_step(),
tag,
tensor,
sample_rate=sample_rate,
max_outputs=max_outputs,
name=scope)
def function(tag, scope):
# Note the identity to move the tensor to the CPU.
return gen_summary_ops.write_audio_summary(
context.context().summary_writer_resource,
_choose_step(step),
tag,
array_ops.identity(tensor),
sample_rate=sample_rate,
max_outputs=max_outputs,
name=scope)
def function(tag, scope):
# Note the identity to move the tensor to the CPU.
return gen_summary_ops.write_audio_summary(
context.context().summary_writer_resource,
_choose_step(step),
tag,
array_ops.identity(tensor),
sample_rate=sample_rate,
max_outputs=max_outputs,
name=scope)
