def function(tag, scope):
gen_summary_ops.write_scalar_summary(
context.context().summary_writer_resource,
training_util.get_global_step(),
tag,
tensor,
name=scope)
def record():
with summary_op_util.summary_scope(name, family,
values=[tensor]) as (tag, scope):
gen_summary_ops.write_scalar_summary(
context.context().summary_writer_resource,
training_util.get_global_step(),
tag,
tensor,
name=scope)
def function(tag, scope):
# Note the identity to move the tensor to the CPU.
return gen_summary_ops.write_scalar_summary(
context.context().summary_writer_resource,
_choose_step(step),
tag,
array_ops.identity(tensor),
name=scope)
def function(tag, scope):
# Note the identity to move the tensor to the CPU.
return gen_summary_ops.write_scalar_summary(
context.context().summary_writer_resource,
_choose_step(step),
tag,
array_ops.identity(tensor),
name=scope)
def function(tag, scope):
# Note the identity to move the tensor to the CPU.
return gen_summary_ops.write_scalar_summary(
context.context().summary_writer_resource,
training_util.get_global_step(),
tag,
array_ops.identity(tensor),
name=scope)
def scalar(self, name, tensor, family=None):
"""Write a scalar summary.
Args:
name: A name for the generated node. Will also serve as the series name in
TensorBoard.
tensor: A real numeric `Tensor` or compatible value type containing a
single value.
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 summary writer function for scalars.
"""
with context.device(self._CPU_DEVICE):
with summary_op_util.summary_scope(
name, family, values=[tensor]) as (tag, scope):
gen_summary_ops.write_scalar_summary(
self._resource, self._update_global_step_tensor(),
tag, _maybe_cpu(tensor), name=scope)
def scalar(self, name, tensor, family=None):
"""Write a scalar summary.
Args:
name: A name for the generated node. Will also serve as the series name in
TensorBoard.
tensor: A real numeric `Tensor` or compatible value type containing a
single value.
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 summary writer function for scalars.
"""
with context.device(self._CPU_DEVICE):
with summary_op_util.summary_scope(
name, family, values=[tensor]) as (tag, scope):
gen_summary_ops.write_scalar_summary(
self._resource, self._update_global_step_tensor(),
tag, _maybe_as_cpu_tensor(tensor), name=scope)
def function(tag, scope):
# Note the identity to move the tensor to the CPU.
return gen_summary_ops.write_scalar_summary(
context.context().summary_writer_resource,
training_util.get_global_step(), tag, array_ops.identity(tensor),
name=scope)
def function(tag, scope):
gen_summary_ops.write_scalar_summary(
context.context().summary_writer_resource,
training_util.get_global_step(), tag, tensor, name=scope)
def record():
with summary_op_util.summary_scope(
name, family, values=[tensor]) as (tag, scope):
gen_summary_ops.write_scalar_summary(
context.context().summary_writer_resource,
training_util.get_global_step(), tag, tensor, name=scope)
