def _update_run_calls_state(self,
run_call_count,
fetches,
feed_dict,
is_callable_runner=False):
"""Update the internal state with regard to run() call history.
Args:
run_call_count: (int) Number of run() calls that have occurred.
fetches: a node/tensor or a list of node/tensor that are the fetches of
the run() call. This is the same as the fetches argument to the run()
call.
feed_dict: None of a dict. This is the feed_dict argument to the run()
call.
is_callable_runner: (bool) whether a runner returned by
Session.make_callable is being run.
"""
self._run_call_count = run_call_count
self._feed_dict = feed_dict
self._run_description = cli_shared.get_run_short_description(
run_call_count,
fetches,
feed_dict,
is_callable_runner=is_callable_runner)
self._run_through_times -= 1
self._run_info = cli_shared.get_run_start_intro(
run_call_count,
fetches,
feed_dict,
self._tensor_filters,
is_callable_runner=is_callable_runner)
def testSingleFetchNoFeeds(self):
run_start_intro = cli_shared.get_run_start_intro(12, self.const_a, None, {})
# Verify line about run() call number.
self.assertEqual("About to enter Session run() call #12:",
run_start_intro.lines[1])
# Verify line about fetch.
const_a_name_line = run_start_intro.lines[4]
self.assertEqual(self.const_a.name, const_a_name_line.strip())
# Verify line about feeds.
feeds_line = run_start_intro.lines[7]
self.assertEqual("(Empty)", feeds_line.strip())
# Verify lines about possible commands and their font attributes.
self.assertEqual("run:", run_start_intro.lines[11][2:])
self.assertEqual([(2, 5, "bold")], run_start_intro.font_attr_segs[11])
self.assertEqual("run -n:", run_start_intro.lines[13][2:])
self.assertEqual([(2, 8, "bold")], run_start_intro.font_attr_segs[13])
self.assertEqual("run -f <filter_name>:", run_start_intro.lines[15][2:])
self.assertEqual([(2, 22, "bold")], run_start_intro.font_attr_segs[15])
# Verify short description.
description = cli_shared.get_run_short_description(12, self.const_a, None)
self.assertEqual("run #12: 1 fetch (a:0); 0 feeds", description)
def testSingleFetchNoFeeds(self):
run_start_intro = cli_shared.get_run_start_intro(
12, self.const_a, None, {})
# Verify line about run() call number.
self.assertTrue(run_start_intro.lines[1].endswith("run() call #12:"))
# Verify line about fetch.
const_a_name_line = run_start_intro.lines[4]
self.assertEqual(self.const_a.name, const_a_name_line.strip())
# Verify line about feeds.
feeds_line = run_start_intro.lines[7]
self.assertEqual("(Empty)", feeds_line.strip())
# Verify lines about possible commands and their font attributes.
self.assertEqual("run:", run_start_intro.lines[11][2:])
self.assertEqual([(2, 5, "bold")], run_start_intro.font_attr_segs[11])
self.assertEqual("run -n:", run_start_intro.lines[13][2:])
self.assertEqual([(2, 8, "bold")], run_start_intro.font_attr_segs[13])
self.assertEqual("run -t <T>:", run_start_intro.lines[15][2:])
self.assertEqual([(2, 12, "bold")], run_start_intro.font_attr_segs[15])
self.assertEqual("run -f <filter_name>:",
run_start_intro.lines[17][2:])
self.assertEqual([(2, 22, "bold")], run_start_intro.font_attr_segs[17])
# Verify short description.
description = cli_shared.get_run_short_description(
12, self.const_a, None)
self.assertEqual("run #12: 1 fetch (a:0); 0 feeds", description)
def testTensorFilters(self):
feed_dict = {self.const_a: 10.0}
tensor_filters = {
"filter_a": lambda x: True,
"filter_b": lambda x: False,
}
run_start_intro = cli_shared.get_run_start_intro(1, self.const_c, feed_dict,
tensor_filters)
# Verify the listed names of the tensor filters.
filter_names = set()
filter_names.add(run_start_intro.lines[20].split(" ")[-1])
filter_names.add(run_start_intro.lines[21].split(" ")[-1])
self.assertEqual({"filter_a", "filter_b"}, filter_names)
# Verify short description.
description = cli_shared.get_run_short_description(1, self.const_c,
feed_dict)
self.assertEqual("run #1: 1 fetch (c:0); 1 feed (a:0)", description)
# Verify the command links for the two filters.
command_set = set()
annot = run_start_intro.font_attr_segs[20][0]
command_set.add(annot[2].content)
annot = run_start_intro.font_attr_segs[21][0]
command_set.add(annot[2].content)
self.assertEqual({"run -f filter_a", "run -f filter_b"}, command_set)
def _update_run_calls_state(self,
run_call_count,
fetches,
feed_dict,
is_callable_runner=False):
"""Update the internal state with regard to run() call history.
Args:
run_call_count: (int) Number of run() calls that have occurred.
fetches: a node/tensor or a list of node/tensor that are the fetches of
the run() call. This is the same as the fetches argument to the run()
call.
feed_dict: None of a dict. This is the feed_dict argument to the run()
call.
is_callable_runner: (bool) whether a runner returned by
Session.make_callable is being run.
"""
self._run_call_count = run_call_count
self._feed_dict = feed_dict
self._run_description = cli_shared.get_run_short_description(
run_call_count,
fetches,
feed_dict,
is_callable_runner=is_callable_runner)
self._run_through_times -= 1
self._run_info = cli_shared.get_run_start_intro(
run_call_count,
fetches,
feed_dict,
self._tensor_filters,
is_callable_runner=is_callable_runner)
def testTensorFilters(self):
feed_dict = {self.const_a: 10.0}
tensor_filters = {
"filter_a": lambda x: True,
"filter_b": lambda x: False,
}
run_start_intro = cli_shared.get_run_start_intro(
1, self.const_c, feed_dict, tensor_filters)
# Verify the listed names of the tensor filters.
filter_names = set()
filter_names.add(run_start_intro.lines[20].split(" ")[-1])
filter_names.add(run_start_intro.lines[21].split(" ")[-1])
self.assertEqual({"filter_a", "filter_b"}, filter_names)
# Verify short description.
description = cli_shared.get_run_short_description(
1, self.const_c, feed_dict)
self.assertEqual("run #1: 1 fetch (c:0); 1 feed (a:0)", description)
# Verify the command links for the two filters.
command_set = set()
annot = run_start_intro.font_attr_segs[20][0]
command_set.add(annot[2].content)
annot = run_start_intro.font_attr_segs[21][0]
command_set.add(annot[2].content)
self.assertEqual({"run -f filter_a", "run -f filter_b"}, command_set)
def testSparseTensorAsFeedShouldHandleNoNameAttribute(self):
sparse_feed_val = ([[0, 0], [1, 1]], [10.0, 20.0])
run_start_intro = cli_shared.get_run_start_intro(
1, self.sparse_d, {self.sparse_d: sparse_feed_val}, {})
self.assertEqual(str(self.sparse_d), run_start_intro.lines[7].strip())
short_description = cli_shared.get_run_short_description(
1, self.sparse_d, {self.sparse_d: sparse_feed_val})
self.assertEqual(
"run #1: 1 fetch; 1 feed (%s)" % self.sparse_d, short_description) id:3148 gh:3149
def testSparseTensorAsFeedShouldHandleNoNameAttribute(self):
sparse_feed_val = ([[0, 0], [1, 1]], [10.0, 20.0])
run_start_intro = cli_shared.get_run_start_intro(
1, self.sparse_d, {self.sparse_d: sparse_feed_val}, {})
self.assertEqual(str(self.sparse_d), run_start_intro.lines[7].strip())
short_description = cli_shared.get_run_short_description(
1, self.sparse_d, {self.sparse_d: sparse_feed_val})
self.assertEqual(
"run #1: 1 fetch; 1 feed (%s)" % self.sparse_d, short_description)
def on_run_start(self, request):
"""Overrides on-run-start callback.
Invoke the CLI to let user choose what action to take:
run / run --no_debug / step.
Args:
request: An instance of OnSessionInitRequest.
Returns:
An instance of OnSessionInitResponse.
Raises:
RuntimeError: If user chooses to prematurely exit the debugger.
"""
self._update_run_calls_state(request.run_call_count, request.fetches, request.feed_dict)
if self._run_till_filter_pass:
# If we are running till a filter passes, we just need to keep running
# with the DEBUG_RUN option.
return framework.OnRunStartResponse(framework.OnRunStartAction.DEBUG_RUN, self._get_run_debug_urls())
run_start_cli = curses_ui.CursesUI()
run_start_cli.register_command_handler(
"run", self._on_run_start_run_handler, self._on_run_start_parsers["run"].format_help(), prefix_aliases=["r"]
)
run_start_cli.register_command_handler(
"invoke_stepper",
self._on_run_start_step_handler,
self._on_run_start_parsers["invoke_stepper"].format_help(),
prefix_aliases=["s"],
)
if self._tensor_filters:
# Register tab completion for the filter names.
run_start_cli.register_tab_comp_context(["run", "r"], list(self._tensor_filters.keys()))
run_start_cli.set_help_intro(
cli_shared.get_run_start_intro(
request.run_call_count, request.fetches, request.feed_dict, self._tensor_filters
)
)
# Create initial screen output detailing the run.
title = "run-start: " + self._run_description
response = run_start_cli.run_ui(init_command="help", title=title, title_color="blue_on_white")
if response == debugger_cli_common.EXPLICIT_USER_EXIT:
# Explicit user "exit" command leads to sys.exit(1).
print("Note: user exited from debugger CLI: Calling sys.exit(1).", file=sys.stderr)
sys.exit(1)
return response
def testNestedListAsFetches(self):
fetches = [self.const_c, [self.const_a, self.const_b]]
run_start_intro = cli_shared.get_run_start_intro(1, fetches, None, {})
# Verify lines about the fetches.
self.assertEqual(self.const_c.name, run_start_intro.lines[4].strip())
self.assertEqual(self.const_a.name, run_start_intro.lines[5].strip())
self.assertEqual(self.const_b.name, run_start_intro.lines[6].strip())
# Verify short description.
description = cli_shared.get_run_short_description(1, fetches, None)
self.assertEqual("run #1: 3 fetches; 0 feeds", description)
def testNestedListAsFetches(self):
fetches = [self.const_c, [self.const_a, self.const_b]]
run_start_intro = cli_shared.get_run_start_intro(1, fetches, None, {})
# Verify lines about the fetches.
self.assertEqual(self.const_c.name, run_start_intro.lines[4].strip())
self.assertEqual(self.const_a.name, run_start_intro.lines[5].strip())
self.assertEqual(self.const_b.name, run_start_intro.lines[6].strip())
# Verify short description.
description = cli_shared.get_run_short_description(1, fetches, None)
self.assertEqual("run #1: 3 fetches; 0 feeds", description)
def testSingleFetchNoFeeds(self):
run_start_intro = cli_shared.get_run_start_intro(
12, self.const_a, None, {})
# Verify line about run() call number.
self.assertTrue(run_start_intro.lines[1].endswith("run() call #12:"))
# Verify line about fetch.
const_a_name_line = run_start_intro.lines[4]
self.assertEqual(self.const_a.name, const_a_name_line.strip())
# Verify line about feeds.
feeds_line = run_start_intro.lines[7]
self.assertEqual("(Empty)", feeds_line.strip())
# Verify lines about possible commands and their font attributes.
self.assertEqual("run:", run_start_intro.lines[11][2:])
annot = run_start_intro.font_attr_segs[11][0]
self.assertEqual(2, annot[0])
self.assertEqual(5, annot[1])
self.assertEqual("run", annot[2][0].content)
self.assertEqual("bold", annot[2][1])
annot = run_start_intro.font_attr_segs[13][0]
self.assertEqual(2, annot[0])
self.assertEqual(8, annot[1])
self.assertEqual("run -n", annot[2][0].content)
self.assertEqual("bold", annot[2][1])
self.assertEqual("run -t <T>:", run_start_intro.lines[15][2:])
self.assertEqual([(2, 12, "bold")], run_start_intro.font_attr_segs[15])
self.assertEqual("run -f <filter_name>:",
run_start_intro.lines[17][2:])
self.assertEqual([(2, 22, "bold")], run_start_intro.font_attr_segs[17])
annot = run_start_intro.font_attr_segs[21][0]
self.assertEqual(2, annot[0])
self.assertEqual(16, annot[1])
self.assertEqual("invoke_stepper", annot[2][0].content)
# Verify short description.
description = cli_shared.get_run_short_description(
12, self.const_a, None)
self.assertEqual("run #12: 1 fetch (a:0); 0 feeds", description)
# Verify the main menu associated with the run_start_intro.
self.assertIn(debugger_cli_common.MAIN_MENU_KEY,
run_start_intro.annotations)
menu = run_start_intro.annotations[debugger_cli_common.MAIN_MENU_KEY]
self.assertEqual("run", menu.caption_to_item("run").content)
self.assertEqual("invoke_stepper",
menu.caption_to_item("invoke_stepper").content)
self.assertEqual("exit", menu.caption_to_item("exit").content)
def testTwoFetchesAsTupleNoFeeds(self):
fetches = (self.const_a, self.const_b)
run_start_intro = cli_shared.get_run_start_intro(1, fetches, None, {})
const_a_name_line = run_start_intro.lines[4]
const_b_name_line = run_start_intro.lines[5]
self.assertEqual(self.const_a.name, const_a_name_line.strip())
self.assertEqual(self.const_b.name, const_b_name_line.strip())
feeds_line = run_start_intro.lines[8]
self.assertEqual("(Empty)", feeds_line.strip())
# Verify short description.
description = cli_shared.get_run_short_description(1, fetches, None)
self.assertEqual("run #1: 2 fetches; 0 feeds", description)
def testTwoFetchesListNoFeeds(self):
fetches = [self.const_a, self.const_b]
run_start_intro = cli_shared.get_run_start_intro(1, fetches, None, {})
const_a_name_line = run_start_intro.lines[4]
const_b_name_line = run_start_intro.lines[5]
self.assertEqual(self.const_a.name, const_a_name_line.strip())
self.assertEqual(self.const_b.name, const_b_name_line.strip())
feeds_line = run_start_intro.lines[8]
self.assertEqual("(Empty)", feeds_line.strip())
# Verify short description.
description = cli_shared.get_run_short_description(1, fetches, None)
self.assertEqual("run #1: 2 fetches; 0 feeds", description)
def testTwoFetchesAsNamedTupleNoFeeds(self):
fetches_namedtuple = namedtuple("fetches", "x y")
fetches = fetches_namedtuple(self.const_b, self.const_c)
run_start_intro = cli_shared.get_run_start_intro(1, fetches, None, {})
const_b_name_line = run_start_intro.lines[4]
const_c_name_line = run_start_intro.lines[5]
self.assertEqual(self.const_b.name, const_b_name_line.strip())
self.assertEqual(self.const_c.name, const_c_name_line.strip())
feeds_line = run_start_intro.lines[8]
self.assertEqual("(Empty)", feeds_line.strip())
# Verify short description.
description = cli_shared.get_run_short_description(1, fetches, None)
self.assertEqual("run #1: 2 fetches; 0 feeds", description) id:3151 gh:3152
def testNestedDictAsFetches(self):
fetches = {"c": self.const_c, "ab": {"a": self.const_a, "b": self.const_b}}
run_start_intro = cli_shared.get_run_start_intro(1, fetches, None, {})
# Verify lines about the fetches. The ordering of the dict keys is
# indeterminate.
fetch_names = set()
fetch_names.add(run_start_intro.lines[4].strip())
fetch_names.add(run_start_intro.lines[5].strip())
fetch_names.add(run_start_intro.lines[6].strip())
self.assertEqual({"a:0", "b:0", "c:0"}, fetch_names)
# Verify short description.
description = cli_shared.get_run_short_description(1, fetches, None)
self.assertEqual("run #1: 3 fetches; 0 feeds", description) id:2221 gh:2222
def testTensorFilters(self):
feed_dict = {self.const_a: 10.0}
tensor_filters = {"filter_a": lambda x: True, "filter_b": lambda x: False}
run_start_intro = cli_shared.get_run_start_intro(1, self.const_c, feed_dict, tensor_filters)
# Verify the listed names of the tensor filters.
filter_names = set()
filter_names.add(run_start_intro.lines[22].split(" ")[-1])
filter_names.add(run_start_intro.lines[23].split(" ")[-1])
self.assertEqual({"filter_a", "filter_b"}, filter_names)
# Verify short description.
description = cli_shared.get_run_short_description(1, self.const_c, feed_dict)
self.assertEqual("run #1: 1 fetch (c:0); 1 feed (a:0)", description)
def testTwoFetchesAsNamedTupleNoFeeds(self):
fetches_namedtuple = namedtuple("fetches", "x y")
fetches = fetches_namedtuple(self.const_b, self.const_c)
run_start_intro = cli_shared.get_run_start_intro(1, fetches, None, {})
const_b_name_line = run_start_intro.lines[4]
const_c_name_line = run_start_intro.lines[5]
self.assertEqual(self.const_b.name, const_b_name_line.strip())
self.assertEqual(self.const_c.name, const_c_name_line.strip())
feeds_line = run_start_intro.lines[8]
self.assertEqual("(Empty)", feeds_line.strip())
# Verify short description.
description = cli_shared.get_run_short_description(1, fetches, None)
self.assertEqual("run #1: 2 fetches; 0 feeds", description)
def testNestedDictAsFetches(self):
fetches = {"c": self.const_c, "ab": {"a": self.const_a, "b": self.const_b}}
run_start_intro = cli_shared.get_run_start_intro(1, fetches, None, {})
# Verify lines about the fetches. The ordering of the dict keys is
# indeterminate.
fetch_names = set()
fetch_names.add(run_start_intro.lines[4].strip())
fetch_names.add(run_start_intro.lines[5].strip())
fetch_names.add(run_start_intro.lines[6].strip())
self.assertEqual({"a:0", "b:0", "c:0"}, fetch_names)
# Verify short description.
description = cli_shared.get_run_short_description(1, fetches, None)
self.assertEqual("run #1: 3 fetches; 0 feeds", description)
def testSingleFetchNoFeeds(self):
run_start_intro = cli_shared.get_run_start_intro(12, self.const_a, None, {})
# Verify line about run() call number.
self.assertTrue(run_start_intro.lines[1].endswith("run() call #12:"))
# Verify line about fetch.
const_a_name_line = run_start_intro.lines[4]
self.assertEqual(self.const_a.name, const_a_name_line.strip())
# Verify line about feeds.
feeds_line = run_start_intro.lines[7]
self.assertEqual("(Empty)", feeds_line.strip())
# Verify lines about possible commands and their font attributes.
self.assertEqual("run:", run_start_intro.lines[11][2:])
annot = run_start_intro.font_attr_segs[11][0]
self.assertEqual(2, annot[0])
self.assertEqual(5, annot[1])
self.assertEqual("run", annot[2][0].content)
self.assertEqual("bold", annot[2][1])
annot = run_start_intro.font_attr_segs[13][0]
self.assertEqual(2, annot[0])
self.assertEqual(8, annot[1])
self.assertEqual("run -n", annot[2][0].content)
self.assertEqual("bold", annot[2][1])
self.assertEqual("run -t <T>:", run_start_intro.lines[15][2:])
self.assertEqual([(2, 12, "bold")], run_start_intro.font_attr_segs[15])
self.assertEqual("run -f <filter_name>:", run_start_intro.lines[17][2:])
self.assertEqual([(2, 22, "bold")], run_start_intro.font_attr_segs[17])
annot = run_start_intro.font_attr_segs[21][0]
self.assertEqual(2, annot[0])
self.assertEqual(16, annot[1])
self.assertEqual("invoke_stepper", annot[2][0].content)
# Verify short description.
description = cli_shared.get_run_short_description(12, self.const_a, None)
self.assertEqual("run #12: 1 fetch (a:0); 0 feeds", description)
# Verify the main menu associated with the run_start_intro.
self.assertIn(debugger_cli_common.MAIN_MENU_KEY,
run_start_intro.annotations)
menu = run_start_intro.annotations[debugger_cli_common.MAIN_MENU_KEY]
self.assertEqual("run", menu.caption_to_item("run").content)
self.assertEqual("invoke_stepper",
menu.caption_to_item("invoke_stepper").content)
self.assertEqual("exit", menu.caption_to_item("exit").content)
def testWithFeedDict(self):
feed_dict = {self.const_a: 10.0, self.const_b: 20.0}
run_start_intro = cli_shared.get_run_start_intro(1, self.const_c, feed_dict, {})
const_c_name_line = run_start_intro.lines[4]
self.assertEqual(self.const_c.name, const_c_name_line.strip())
# Verify lines about the feed dict.
feed_a_line = run_start_intro.lines[7]
feed_b_line = run_start_intro.lines[8]
self.assertEqual(self.const_a.name, feed_a_line.strip())
self.assertEqual(self.const_b.name, feed_b_line.strip())
# Verify short description.
description = cli_shared.get_run_short_description(1, self.const_c, feed_dict)
self.assertEqual("run #1: 1 fetch (c:0); 2 feeds", description)
def _update_run_calls_state(self, run_call_count, fetches, feed_dict):
"""Update the internal state with regard to run() call history.
Args:
run_call_count: (int) Number of run() calls that have occurred.
fetches: a node/tensor or a list of node/tensor that are the fetches of
the run() call. This is the same as the fetches argument to the run()
call.
feed_dict: None of a dict. This is the feed_dict argument to the run()
call.
"""
self._run_call_count = run_call_count
self._run_description = cli_shared.get_run_short_description(
run_call_count, fetches, feed_dict)
self._run_through_times -= 1
self._run_info = cli_shared.get_run_start_intro(
run_call_count, fetches, feed_dict, self._tensor_filters)
def testTensorFilters(self):
feed_dict = {self.const_a: 10.0}
tensor_filters = {
"filter_a": lambda x: True,
"filter_b": lambda x: False,
}
run_start_intro = cli_shared.get_run_start_intro(
1, self.const_c, feed_dict, tensor_filters)
# Verify the listed names of the tensor filters.
filter_names = set()
filter_names.add(run_start_intro.lines[22].split(" ")[-1])
filter_names.add(run_start_intro.lines[23].split(" ")[-1])
self.assertEqual({"filter_a", "filter_b"}, filter_names)
# Verify short description.
description = cli_shared.get_run_short_description(
1, self.const_c, feed_dict)
self.assertEqual("run #1: 1 fetch (c:0); 1 feed (a:0)", description)
def _update_run_calls_state(self, run_call_count, fetches, feed_dict):
"""Update the internal state with regard to run() call history.
Args:
run_call_count: (int) Number of run() calls that have occurred.
fetches: a node/tensor or a list of node/tensor that are the fetches of
the run() call. This is the same as the fetches argument to the run()
call.
feed_dict: None of a dict. This is the feed_dict argument to the run()
call.
"""
self._run_call_count = run_call_count
self._run_description = cli_shared.get_run_short_description(run_call_count,
fetches,
feed_dict)
self._run_through_times -= 1
self._run_info = cli_shared.get_run_start_intro(run_call_count,
fetches,
feed_dict,
self._tensor_filters)
def testWithFeedDict(self):
feed_dict = {
self.const_a: 10.0,
self.const_b: 20.0,
}
run_start_intro = cli_shared.get_run_start_intro(
1, self.const_c, feed_dict, {})
const_c_name_line = run_start_intro.lines[4]
self.assertEqual(self.const_c.name, const_c_name_line.strip())
# Verify lines about the feed dict.
feed_a_line = run_start_intro.lines[7]
feed_b_line = run_start_intro.lines[8]
self.assertEqual(self.const_a.name, feed_a_line.strip())
self.assertEqual(self.const_b.name, feed_b_line.strip())
# Verify short description.
description = cli_shared.get_run_short_description(
1, self.const_c, feed_dict)
self.assertEqual("run #1: 1 fetch (c:0); 2 feeds", description)
def on_run_start(self, request):
"""Overrides on-run-start callback.
Invoke the CLI to let user choose what action to take:
run / run --no_debug / step.
Args:
request: An instance of OnSessionInitRequest.
Returns:
An instance of OnSessionInitResponse.
Raises:
RuntimeError: If user chooses to prematurely exit the debugger.
"""
self._update_run_calls_state(request.run_call_count, request.fetches,
request.feed_dict)
if self._run_till_filter_pass:
# If we are running till a filter passes, we just need to keep running
# with the DEBUG_RUN option.
return framework.OnRunStartResponse(
framework.OnRunStartAction.DEBUG_RUN,
self._get_run_debug_urls())
run_start_cli = curses_ui.CursesUI()
run_start_cli.register_command_handler(
"run",
self._on_run_start_run_handler,
self._on_run_start_parsers["run"].format_help(),
prefix_aliases=["r"])
run_start_cli.register_command_handler(
"invoke_stepper",
self._on_run_start_step_handler,
self._on_run_start_parsers["invoke_stepper"].format_help(),
prefix_aliases=["s"])
if self._tensor_filters:
# Register tab completion for the filter names.
run_start_cli.register_tab_comp_context(
["run", "r"], list(self._tensor_filters.keys()))
run_start_cli.set_help_intro(
cli_shared.get_run_start_intro(request.run_call_count,
request.fetches, request.feed_dict,
self._tensor_filters))
# Create initial screen output detailing the run.
title = "run-start: " + self._run_description
response = run_start_cli.run_ui(init_command="help",
title=title,
title_color="blue_on_white")
if response == debugger_cli_common.EXPLICIT_USER_EXIT:
# Explicit user "exit" command leads to sys.exit(1).
print("Note: user exited from debugger CLI: Calling sys.exit(1).",
file=sys.stderr)
sys.exit(1)
return response
def testSparseTensorAsFetchShouldHandleNoNameAttribute(self):
run_start_intro = cli_shared.get_run_start_intro(1, self.sparse_d, None, {})
self.assertEqual(str(self.sparse_d), run_start_intro.lines[4].strip())
def testSparseTensorAsFetchShouldHandleNoNameAttribute(self):
run_start_intro = cli_shared.get_run_start_intro(
1, self.sparse_d, None, {})
self.assertEqual(str(self.sparse_d), run_start_intro.lines[4].strip())
