__________________ ERROR at setup of TestDPTabulate.test_ops ___________________
def setUpModule() -> None:
> tf.compat.v1.enable_eager_execution()
source/tests/pt/test_tabulate.py:44:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/opt/hostedtoolcache/Python/3.10.19/x64/lib/python3.10/site-packages/tensorflow/python/framework/ops.py:4988: in enable_eager_execution
return enable_eager_execution_internal(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
config = None, device_policy = None, execution_mode = None, server_def = None
def enable_eager_execution_internal(config=None,
device_policy=None,
execution_mode=None,
server_def=None) -> None:
"""Enables eager execution for the lifetime of this program.
Most of the doc string for enable_eager_execution is relevant here as well.
Args:
config: See enable_eager_execution doc string
device_policy: See enable_eager_execution doc string
execution_mode: See enable_eager_execution doc string
server_def: (Optional.) A tensorflow::ServerDef proto. Enables execution on
remote devices. GrpcServers need to be started by creating an identical
server_def to this, and setting the appropriate task_indexes, so that the
servers can communicate. It will then be possible to execute operations on
remote devices.
Raises:
ValueError
"""
if config is not None and not isinstance(config, config_pb2.ConfigProto):
raise TypeError("config must be a tf.ConfigProto, but got %s" %
type(config))
if device_policy not in (None, context.DEVICE_PLACEMENT_EXPLICIT,
context.DEVICE_PLACEMENT_WARN,
context.DEVICE_PLACEMENT_SILENT,
context.DEVICE_PLACEMENT_SILENT_FOR_INT32):
raise ValueError("device_policy must be one of None, DEVICE_PLACEMENT_*")
if execution_mode not in (None, context.SYNC, context.ASYNC):
raise ValueError("execution_mode must be one of None, SYNC, " "ASYNC")
if context.default_execution_mode == context.GRAPH_MODE:
graph_mode_has_been_used = (
_default_graph_stack._global_default_graph is not None) # pylint: disable=protected-access
if graph_mode_has_been_used:
> raise ValueError(
"tf.enable_eager_execution must be called at program startup.")
E ValueError: tf.enable_eager_execution must be called at program startup.
/opt/hostedtoolcache/Python/3.10.19/x64/lib/python3.10/site-packages/tensorflow/python/framework/ops.py:5052: ValueError
Bug summary
The CI error occurred at https://github.com/deepmodeling/deepmd-kit/actions/runs/20367227749/job/58525113372?pr=5104
DeePMD-kit Version
See CI log
Backend and its version
See CI log
How did you download the software?
Built from source
Input Files, Running Commands, Error Log, etc.
Steps to Reproduce
Occurred in the CI
Further Information, Files, and Links
No response