def list_outputs(self, args, screen_info=None):
"""Command handler for inputs.
Show inputs to a given node.
Args:
args: Command-line arguments, excluding the command prefix, as a list of
str.
screen_info: Optional dict input containing screen information such as
cols.
Returns:
Output text lines as a RichTextLines object.
"""
# Screen info not currently used by this handler. Include this line to
# mute pylint.
_ = screen_info
# TODO(cais): Use screen info to format the output lines more prettily,
# e.g., hanging indent of long node names.
parsed = self._arg_parsers["list_outputs"].parse_args(args)
output = self._list_inputs_or_outputs(
parsed.recursive,
parsed.node_name,
parsed.depth,
parsed.control,
parsed.op_type,
do_outputs=True)
node_name = debug_data.get_node_name(parsed.node_name)
_add_main_menu(output, node_name=node_name, enable_list_outputs=False)
return output
def list_outputs(self, args, screen_info=None):
"""Command handler for inputs.
Show inputs to a given node.
Args:
args: Command-line arguments, excluding the command prefix, as a list of
str.
screen_info: Optional dict input containing screen information such as
cols.
Returns:
Output text lines as a RichTextLines object.
"""
# Screen info not currently used by this handler. Include this line to
# mute pylint.
_ = screen_info
# TODO(cais): Use screen info to format the output lines more prettily,
# e.g., hanging indent of long node names.
parsed = self._arg_parsers["list_outputs"].parse_args(args)
output = self._list_inputs_or_outputs(parsed.recursive,
parsed.node_name,
parsed.depth,
parsed.control,
parsed.op_type,
do_outputs=True)
node_name = debug_data.get_node_name(parsed.node_name)
_add_main_menu(output, node_name=node_name, enable_list_outputs=False)
return output
def _prepare_cont_call_dump_path_and_run_options(self):
"""Prepare the dump path and RunOptions for next cont() call.
Returns:
dump_path: (str) Directory path to which the intermediate tensor will be
dumped.
run_options: (config_pb2.RunOptions) The RunOptions containing the tensor
watch options for this graph.
"""
run_options = config_pb2.RunOptions()
dump_path = self._cont_call_dump_path()
for element_name in self._closure_elements:
if ":" in element_name:
debug_utils.add_debug_tensor_watch(
run_options,
debug_data.get_node_name(element_name),
output_slot=debug_data.get_output_slot(element_name),
debug_urls=["file://" + dump_path])
return dump_path, run_options
def _prepare_cont_call_dump_path_and_run_options(self):
"""Prepare the dump path and RunOptions for next cont() call.
Returns:
dump_path: (str) Directory path to which the intermediate tensor will be
dumped.
run_options: (config_pb2.RunOptions) The RunOptions containing the tensor
watch options for this graph.
"""
run_options = config_pb2.RunOptions()
dump_path = self._cont_call_dump_path()
for element_name in self._closure_elements:
if ":" in element_name:
debug_utils.add_debug_tensor_watch(
run_options,
debug_data.get_node_name(element_name),
output_slot=debug_data.get_output_slot(element_name),
debug_urls=["file://" + dump_path])
return dump_path, run_options
def testParseNodeNameInputWorks(self):
self.assertEqual("a", debug_data.get_node_name("a"))
self.assertEqual(0, debug_data.get_output_slot("a"))
def testParseTensorNameInputWorks(self):
self.assertEqual("a", debug_data.get_node_name("a:0"))
self.assertEqual(0, debug_data.get_output_slot("a:0"))
self.assertEqual("_b", debug_data.get_node_name("_b:1"))
self.assertEqual(1, debug_data.get_output_slot("_b:1"))
def testParseNodeNameInputWorks(self):
self.assertEqual("a", debug_data.get_node_name("a"))
self.assertEqual(0, debug_data.get_output_slot("a"))
def testParseTensorNameInputWorks(self):
self.assertEqual("a", debug_data.get_node_name("a:0"))
self.assertEqual(0, debug_data.get_output_slot("a:0"))
self.assertEqual("_b", debug_data.get_node_name("_b:1"))
self.assertEqual(1, debug_data.get_output_slot("_b:1"))