def function(tag, scope):
gen_summary_ops.write_summary(
context.context().summary_writer_resource,
training_util.get_global_step(),
tensor,
tag,
metadata,
name=scope)
def record():
with summary_op_util.summary_scope(name, family,
values=[tensor]) as (tag, scope):
gen_summary_ops.write_summary(
context.context().summary_writer_resource,
training_util.get_global_step(),
tensor,
tag,
metadata,
name=scope)
def function(tag, scope):
# Note the identity to move the tensor to the CPU.
return gen_summary_ops.write_summary(
context.context().summary_writer_resource,
training_util.get_global_step(),
array_ops.identity(tensor),
tag,
metadata,
name=scope)
def function(tag, scope):
if metadata is None:
serialized_metadata = constant_op.constant("")
elif hasattr(metadata, "SerializeToString"):
serialized_metadata = constant_op.constant(metadata.SerializeToString())
else:
serialized_metadata = metadata
# Note the identity to move the tensor to the CPU.
return gen_summary_ops.write_summary(
context.context().summary_writer_resource,
global_step, array_ops.identity(tensor),
tag, serialized_metadata, name=scope)
def generic(self, name, tensor, metadata, family=None):
"""Write a generic-type summary.
Args:
name: A name for the generated node. Will also serve as the series name in
TensorBoard.
tensor: A `Tensor` or compatible value type containing the value of the
summary.
metadata: Metadata about the summary.
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_summary(
self._resource,
self._update_global_step_tensor(),
_maybe_cpu(tensor),
tag,
_maybe_cpu(metadata),
name=scope)
def generic(self, name, tensor, metadata, family=None):
"""Write a generic-type summary.
Args:
name: A name for the generated node. Will also serve as the series name in
TensorBoard.
tensor: A `Tensor` or compatible value type containing the value of the
summary.
metadata: Metadata about the summary.
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_summary(
self._resource,
self._update_global_step_tensor(),
_maybe_as_cpu_tensor(tensor),
tag,
_maybe_as_cpu_tensor(metadata),
name=scope)
def function(tag, scope):
# Note the identity to move the tensor to the CPU.
return gen_summary_ops.write_summary(
context.context().summary_writer_resource,
training_util.get_global_step(), array_ops.identity(tensor),
tag, metadata, name=scope)
def function(tag, scope):
gen_summary_ops.write_summary(context.context().summary_writer_resource,
training_util.get_global_step(), tensor,
tag, metadata, name=scope)
def record():
with summary_op_util.summary_scope(
name, family, values=[tensor]) as (tag, scope):
gen_summary_ops.write_summary(context.context().summary_writer_resource,
training_util.get_global_step(), tensor,
tag, metadata, name=scope)