fix

tests/test_api.py

@@ -127,9 +127,16 @@ def test_api_launch(device, scenario, library, task, model):
 def test_api_push_to_hub_mixin():
     benchmark_name = "test_api_push_to_hub_mixin"
 
-    scenario_config = InferenceConfig(memory=True, latency=True, duration=1, iterations=1, warmup_runs=1)
     backend_config = PyTorchConfig(model="google-bert/bert-base-uncased", device="cpu")
     launcher_config = ProcessConfig(device_isolation=False)
+    scenario_config = InferenceConfig(
+        duration=1,
+        iterations=1,
+        warmup_runs=1,
+        memory=True,
+        latency=True,
+        input_shapes=INPUT_SHAPES,
+    )
     benchmark_config = BenchmarkConfig(
         name=benchmark_name,
         scenario=scenario_config,

tests/test_cli.py

@@ -65,6 +65,8 @@ def test_cli_exit_code_0(launcher):
         "name=test",
         "launcher=" + launcher,
         # compatible task and model
+        "scenario.input_shapes.batch_size=1",
+        "scenario.input_shapes.sequence_length=16",
         "backend.task=text-classification",
         "backend.model=bert-base-uncased",
         "backend.device=cpu",
@@ -88,6 +90,8 @@ def test_cli_exit_code_1(launcher):
         "name=test",
         "launcher=" + launcher,
         # incompatible task and model to trigger an error
+        "scenario.input_shapes.batch_size=1",
+        "scenario.input_shapes.sequence_length=16",
         "backend.task=image-classification",
         "backend.model=bert-base-uncased",
         "backend.device=cpu",
@@ -111,6 +115,8 @@ def test_cli_numactl(launcher):
         "name=test",
         "launcher=" + launcher,
         "launcher.numactl=True",
+        "scenario.input_shapes.batch_size=1",
+        "scenario.input_shapes.sequence_length=16",
         "backend.task=text-classification",
         "backend.model=bert-base-uncased",
         "backend.device=cpu",