debug flag is deprecated, remove it so that test won't complain (#3610)

Author: lanluo-nvidia

tests/py/dynamo/backend/test_specialized_models.py

@@ -393,7 +393,6 @@ def forward(self, x):
             backend="torch_tensorrt",
             options={
                 "min_block_size": 1,
-                "debug": True,
             },
         )
         with torch.no_grad():

tests/py/dynamo/models/test_engine_cache.py

@@ -423,7 +423,6 @@ def remove_timing_cache(path=TIMING_CACHE_PATH):
                 options={
                     "use_python_runtime": False,
                     "enabled_precisions": {torch.float},
-                    "debug": False,
                     "min_block_size": 1,
                     "immutable_weights": False,
                     "cache_built_engines": cache_built_engines,
@@ -490,7 +489,6 @@ def test_torch_compile_with_custom_engine_cache(self):
                 options={
                     "use_python_runtime": False,
                     "enabled_precisions": {torch.float},
-                    "debug": False,
                     "min_block_size": 1,
                     "immutable_weights": False,
                     "cache_built_engines": cache_built_engines,
@@ -547,7 +545,6 @@ def test_torch_trt_compile_change_input_shape(self):
                 **{
                     "use_python_runtime": True,
                     "enabled_precisions": {torch.float},
-                    "debug": False,
                     "min_block_size": 1,
                     "immutable_weights": False,
                     "cache_built_engines": True,
@@ -590,7 +587,6 @@ def forward(self, x):
                 options={
                     "use_python_runtime": True,
                     "enabled_precisions": {torch.float},
-                    "debug": False,
                     "min_block_size": 1,
                     "immutable_weights": False,
                     "cache_built_engines": True,

tests/py/dynamo/models/test_weight_stripped_engine.py

@@ -35,7 +35,6 @@ def test_three_ways_to_compile(self):
         settings = {
             "use_python_runtime": False,
             "enabled_precisions": {torch.float},
-            "debug": False,
             "min_block_size": 1,
             "immutable_weights": False,
             "strip_engine_weights": False,
@@ -83,7 +82,6 @@ def test_three_ways_to_compile_weight_stripped_engine(self):
         settings = {
             "use_python_runtime": False,
             "enabled_precisions": {torch.float},
-            "debug": False,
             "min_block_size": 1,
             "immutable_weights": False,
             "strip_engine_weights": True,
@@ -203,7 +201,6 @@ def test_weight_stripped_engine_results(self):
             options={
                 "use_python_runtime": False,
                 "enabled_precisions": {torch.float},
-                "debug": False,
                 "min_block_size": 1,
                 "immutable_weights": False,
                 "cache_built_engines": False,
@@ -410,7 +407,6 @@ def remove_timing_cache(path=TIMING_CACHE_PATH):
                 options={
                     "use_python_runtime": False,
                     "enabled_precisions": {torch.float},
-                    "debug": False,
                     "min_block_size": 1,
                     "immutable_weights": False,
                     "cache_built_engines": cache_built_engines,
@@ -488,7 +484,6 @@ def forward(self, x):
                 options={
                     "use_python_runtime": True,
                     "enabled_precisions": {torch.float},
-                    "debug": False,
                     "min_block_size": 1,
                     "immutable_weights": False,
                     "cache_built_engines": True,

tests/py/ts/integrations/test_to_backend_api.py

@@ -22,7 +22,6 @@ def setUp(self):
                     "inputs": [torchtrt.Input([1, 3, 300, 300])],
                     "enabled_precisions": {torch.float},
                     "refit": False,
-                    "debug": False,
                     "device": {
                         "device_type": torchtrt.DeviceType.GPU,
                         "gpu_id": 0,