Arm backend: Remove no_target substring for pytests

backends/arm/test/misc/test_const_shape.py

@@ -35,7 +35,7 @@ def call_operator(self, op, args, kwargs, meta, updated: bool | None = False):
             return super().call_operator(op, args, kwargs, meta, updated)
 
 
-def test_const_shape_injects_meta_no_target():
+def test_const_shape_injects_meta():
     class M(torch.nn.Module):
         def forward(self, x):
             return x + 1

backends/arm/test/misc/test_count_tosa_ops.py

@@ -14,7 +14,7 @@ def forward(self, x, y):
         return x + y
 
 
-def test_count_tosa_ops_add_no_target():
+def test_count_tosa_ops_add():
     model = AddModule()
     test_data = (torch.randn(1, 8, 8, 8), torch.randn(1, 8, 8, 8))
     pipeline = TosaPipelineFP[type(test_data)](
@@ -27,7 +27,7 @@ def test_count_tosa_ops_add_no_target():
     pipeline.run()
 
 
-def test_count_tosa_ops_2_adds_no_target():
+def test_count_tosa_ops_2_adds():
     model = AddModule()
     test_data = (torch.randn(1, 8, 8, 8), torch.randn(1, 8, 8, 8))
     pipeline = TosaPipelineFP[type(test_data)](

backends/arm/test/misc/test_debug_hook.py

@@ -1,4 +1,4 @@
-# Copyright 2025 Arm Limited and/or its affiliates.
+# Copyright 2025-2026 Arm Limited and/or its affiliates.
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
@@ -160,7 +160,7 @@ def _compare_node_and_schema(debug_event: DebugSchema, mocked_node):
 
 
 @common.parametrize("test_data", TESTCASES)
-def test_debug_hook_add_json_no_target(test_data: DebugHookTestCase):
+def test_debug_hook_add_json(test_data: DebugHookTestCase):
     hook = DebugHook(ArmCompileSpec.DebugMode.JSON)
     hook.add(cast(Node, test_data.mock_node), test_data.tosa_op, test_data.op_id)
 
@@ -173,7 +173,7 @@ def test_debug_hook_add_json_no_target(test_data: DebugHookTestCase):
 
 
 @common.parametrize("test_data", TESTCASES)
-def test_debug_hook_add_tosa_no_target(test_data: DebugHookTestCase):
+def test_debug_hook_add_tosa(test_data: DebugHookTestCase):
     hook = DebugHook(ArmCompileSpec.DebugMode.TOSA)
     hook.add(cast(Node, test_data.mock_node), test_data.tosa_op, test_data.op_id)
 

backends/arm/test/misc/test_mixed_fp_bf16_partition.py

@@ -50,7 +50,7 @@ def forward(
         return self.conv_bf16(x), self.conv_fp32(y)
 
 
-def test_mixed_fp32_bf16_inputs_rejected_no_target():
+def test_mixed_fp32_bf16_inputs_rejected():
     test_data = (torch.randn(1, 3, 8, 8, dtype=torch.float32),)
     exported_program = to_edge(
         export(MixedConv(torch.bfloat16), test_data, strict=True),
@@ -68,7 +68,7 @@ def test_mixed_fp32_bf16_inputs_rejected_no_target():
     assert "Mixed floating-point input" in reporter.get_table_report()
 
 
-def test_mixed_bf16_cast_fp32_inputs_accepted_no_target():
+def test_mixed_bf16_cast_fp32_inputs_accepted():
     test_data = (torch.randn(1, 3, 8, 8, dtype=torch.float32),)
     exported_program = to_edge(
         export(CastInputConv(torch.bfloat16), test_data, strict=True)
@@ -84,7 +84,7 @@ def test_mixed_bf16_cast_fp32_inputs_accepted_no_target():
     assert support.is_node_supported(exported_program.graph_module, conv_node) is True
 
 
-def test_bf16_rejected_without_tosa_support_no_target():
+def test_bf16_rejected_without_tosa_support():
     test_data = (torch.randn(1, 3, 8, 8, dtype=torch.bfloat16),)
     exported_program = to_edge(
         export(MixedConv(torch.bfloat16), test_data, strict=True)
@@ -101,7 +101,7 @@ def test_bf16_rejected_without_tosa_support_no_target():
     assert "Had torch.bfloat16 input" in reporter.get_table_report()
 
 
-def test_parallel_bf16_fp32_inputs_accepted_no_target():
+def test_parallel_bf16_fp32_inputs_accepted():
     test_data = (
         torch.randn(1, 3, 8, 8, dtype=torch.bfloat16),
         torch.randn(1, 3, 8, 8, dtype=torch.float32),

backends/arm/test/misc/test_model_evaluator.py

@@ -27,7 +27,7 @@ def mocked_model_2(input: torch.Tensor) -> torch.Tensor:
 class TestModelEvaluator(unittest.TestCase):
     """Tests the Arm model evaluators."""
 
-    def test_get_model_error_no_target(self):
+    def test_get_model_error(self):
         example_input = torch.tensor([[1.0, 2.0, 3.0, 4.0]])
         evaluator = NumericalModelEvaluator(
             "dummy_model",
@@ -44,7 +44,7 @@ def test_get_model_error_no_target(self):
         self.assertEqual(metrics["max_percentage_error"], 25.0)
         self.assertEqual(metrics["mean_absolute_error"], 0.25)
 
-    def test_get_compression_ratio_no_target(self):
+    def test_get_compression_ratio(self):
         with tempfile.NamedTemporaryFile(delete=True) as temp_bin:
             torch.save(COMPRESSION_RATIO_TEST, temp_bin)
 

backends/arm/test/misc/test_pass_pipeline_config.py

@@ -17,7 +17,7 @@
 from executorch.backends.arm.tosa.specification import TosaSpecification
 
 
-def test_pipeline_config_override_outside_compile_spec_no_target():
+def test_pipeline_config_override_outside_compile_spec():
     compile_spec = TosaCompileSpec(
         TosaSpecification.create_from_string("TOSA-1.00+INT")
     )

backends/arm/test/misc/test_post_quant_device_switch.py

@@ -196,7 +196,7 @@ def _to_meta_inputs(
 
 
 @pytest.mark.parametrize("case", _TEST_CASES, ids=[case.name for case in _TEST_CASES])
-def test_post_quant_device_switch_no_target(case: MetaRetraceCase) -> None:
+def test_post_quant_device_switch(case: MetaRetraceCase) -> None:
     """This test tests that moving a model to another device after quantiation
     works.
     """

backends/arm/test/misc/test_public_api_manifest.py

@@ -30,7 +30,7 @@ def _entry_block(path: str, entry: dict[str, str]) -> str:
     )
 
 
-def test_public_api_manifest_entries_are_well_formed_no_target():
+def test_public_api_manifest_entries_are_well_formed():
     entries = _collect_public_api()
 
     assert entries
@@ -46,7 +46,7 @@ def test_public_api_manifest_entries_are_well_formed_no_target():
             assert path.rsplit(".", 1)[0] in entries
 
 
-def test_public_api_manifest_matches_generator_no_target():
+def test_public_api_manifest_matches_generator():
     entries = _collect_public_api()
     manifest = _render_manifest(entries)
 
@@ -60,7 +60,7 @@ def test_public_api_manifest_matches_generator_no_target():
     assert manifest == Path(RUNNING_MANIFEST_PATH).read_text(encoding="utf-8")
 
 
-def test_public_api_manifest_collection_handles_deprecated_symbols_no_target():
+def test_public_api_manifest_collection_handles_deprecated_symbols():
     @deprecated("old foo")
     def old_foo(x: int) -> int:
         return x
@@ -73,7 +73,7 @@ def old_foo(x: int) -> int:
     assert "old_foo" not in entries
 
 
-def test_public_api_manifest_collection_excludes_init_for_equivalent_classes_no_target():
+def test_public_api_manifest_collection_excludes_init_for_equivalent_classes():
     class ExplicitInit:
         def __init__(self, x: int = 0) -> None:
             del x

backends/arm/test/misc/test_runner_utils.py

@@ -17,7 +17,7 @@ def exported_program(self):
         return object()
 
 
-def test_run_corstone_no_target_uses_short_input_aliases_in_semihosting_cmd(
+def test_run_corstone_uses_short_input_aliases_in_semihosting_cmd(
     monkeypatch, tmp_path: Path
 ) -> None:
     long_input_paths = [

backends/arm/test/misc/test_shared_qspecs.py

@@ -622,7 +622,7 @@ def forward(self, x):
 
 
 @parametrize("test_case", test_cases)
-def test_shared_qspec_quantizer_no_target(test_case):
+def test_shared_qspec_quantizer(test_case):
     """Test that ops which does not change dynamic range are able to use int8
     portable kernels.
     """
@@ -655,7 +655,7 @@ def test_shared_qspec_quantizer_no_target(test_case):
 
 
 @parametrize("test_case", float_test_cases)
-def test_shared_qspec_quantizer_no_qspecs_no_target(test_case):
+def test_shared_qspec_quantizer_no_qspecs(test_case):
     """Test that ops which does not change dynamic range are able to use int8
     portable kernels.
     """
@@ -671,7 +671,7 @@ def test_shared_qspec_quantizer_no_qspecs_no_target(test_case):
     _check_quant_params(pipeline, test_case.model.quant_params)
 
 
-def test_maximum_mixed_int8_int16_inputs_no_target():
+def test_maximum_mixed_int8_int16_inputs():
     model = MixedMaximumInt8Int16()
     inputs = (ramp_tensor(-2, 2, (2, 3, 4)),)
 

backends/arm/test/misc/test_tosa_dialect_shape_ops.py

@@ -41,7 +41,7 @@ def _expr_equals(sym: torch.SymInt, expected: sympy.Expr) -> bool:
 
 
 # Test that DIM can extract a symbolic dimension from a tensor when the TOSA specification supports the shape extension.
-def test_dim_extracts_symbolic_dimension_no_target():
+def test_dim_extracts_symbolic_dimension():
     shape_env = ShapeEnv()
     s0 = _make_symint(shape_env, "s0", hint=4)
 
@@ -59,7 +59,7 @@ def test_dim_extracts_symbolic_dimension_no_target():
 
 # Test that DIM raises an error when the TOSA specification doesn't support the shape extension, as DIM relies on shape
 # expressions to return symbolic dimensions.
-def test_dim_requires_shape_extension_no_target():
+def test_dim_requires_shape_extension():
     spec_no_shape = TosaSpecification.create_from_string("TOSA-1.0+FP")
     shape_env = ShapeEnv()
     s0 = _make_symint(shape_env, "s0", hint=3)
@@ -74,7 +74,7 @@ def test_dim_requires_shape_extension_no_target():
 
 
 # Test that CONST_SHAPE creates a constant shape tensor and returns the expected shape list.
-def test_const_shape_no_target():
+def test_const_shape():
     with TosaLoweringContext(
         TosaSpecification.create_from_string("TOSA-1.1+FP+shape")
     ), FakeTensorMode():
@@ -83,7 +83,7 @@ def test_const_shape_no_target():
 
 
 # Test that CONCAT_SHAPE with constant shapes performs concatenation and returns a constant shape.
-def test_concat_const_shapes_no_target():
+def test_concat_const_shapes():
     with TosaLoweringContext(
         TosaSpecification.create_from_string("TOSA-1.1+FP+shape")
     ), FakeTensorMode():
@@ -96,7 +96,7 @@ def test_concat_const_shapes_no_target():
 
 
 # Test that CONCAT_SHAPE with symbolic shapes produces a symbolic expression concatenating the dimensions.
-def test_concat_symbolic_shape_no_target():
+def test_concat_symbolic_shape():
     shape_env = ShapeEnv()
     s0 = _make_symint(shape_env, "s0", hint=2)
     s1 = _make_symint(shape_env, "s1", hint=3)
@@ -116,7 +116,7 @@ def test_concat_symbolic_shape_no_target():
     assert _expr(result[1]) == "s1"
 
 
-def test_concat_mixed_shape_no_target():
+def test_concat_mixed_shape():
     shape_env = ShapeEnv()
     s0 = _make_symint(shape_env, "s0", hint=2)
 
@@ -136,7 +136,7 @@ def test_concat_mixed_shape_no_target():
 
 # Test that CONCAT_SHAPE raises an error when given fewer than 2 shape tensors, as it requires at least 2 to
 # concatenate.
-def test_concat_shape_requires_arguments_no_target():
+def test_concat_shape_requires_arguments():
     with pytest.raises(
         TosaValueError, match="CONCAT_SHAPE expected 2 or more shape tensors"
     ):
@@ -147,7 +147,7 @@ def test_concat_shape_requires_arguments_no_target():
 
 
 # Test ADD_SHAPE with constant values, which should perform elementwise addition and return a constant shape.
-def test_add_const_shape_no_target():
+def test_add_const_shape():
     shape_env = ShapeEnv()
     with TosaLoweringContext(
         TosaSpecification.create_from_string("TOSA-1.1+FP+shape"), shape_env
@@ -160,7 +160,7 @@ def test_add_const_shape_no_target():
 
 
 # Test ADD_SHAPE with symbolic values, which should produce a symbolic expression adding the two dimensions.
-def test_add_symbolic_shape_no_target():
+def test_add_symbolic_shape():
     shape_env = ShapeEnv()
     s0 = _make_symint(shape_env, "s0", hint=2)
     s1 = _make_symint(shape_env, "s1", hint=3)
@@ -179,7 +179,7 @@ def test_add_symbolic_shape_no_target():
     assert _expr_equals(result[0], sympy.Symbol("s0") + sympy.Symbol("s1"))
 
 
-def test_add_mixed_shape_no_target():
+def test_add_mixed_shape():
     shape_env = ShapeEnv()
     s0 = _make_symint(shape_env, "s0", hint=2)
 
@@ -197,7 +197,7 @@ def test_add_mixed_shape_no_target():
 
 
 # Test SUB_SHAPE with constant values, which should perform subtraction and return a constant shape.
-def test_sub_const_shape_no_target():
+def test_sub_const_shape():
     shape_env = ShapeEnv()
     with TosaLoweringContext(
         TosaSpecification.create_from_string("TOSA-1.1+FP+shape"), shape_env
@@ -210,7 +210,7 @@ def test_sub_const_shape_no_target():
 
 
 # Test SUB_SHAPE with symbolic values, which should produce a Sub expression.
-def test_sub_symbolic_shape_no_target():
+def test_sub_symbolic_shape():
     shape_env = ShapeEnv()
     s0 = _make_symint(shape_env, "s0", hint=2)
     s1 = _make_symint(shape_env, "s1", hint=3)
@@ -230,7 +230,7 @@ def test_sub_symbolic_shape_no_target():
     assert _expr_equals(result[0], sympy.Symbol("s0") - sympy.Symbol("s1"))
 
 
-def test_sub_mixed_shape_no_target():
+def test_sub_mixed_shape():
     shape_env = ShapeEnv()
     s0 = _make_symint(shape_env, "s0", hint=3)
 
@@ -249,7 +249,7 @@ def test_sub_mixed_shape_no_target():
 
 
 # Test MUL_SHAPE with constant values, which should perform multiplication and return a constant shape.
-def test_mul_const_shape_no_target():
+def test_mul_const_shape():
     shape_env = ShapeEnv()
     with TosaLoweringContext(
         TosaSpecification.create_from_string("TOSA-1.1+FP+shape"), shape_env
@@ -262,7 +262,7 @@ def test_mul_const_shape_no_target():
 
 
 # Test MUL_SHAPE with symbolic values, which should produce a Mul expression.
-def test_mul_symbolic_shape_no_target():
+def test_mul_symbolic_shape():
     shape_env = ShapeEnv()
     s0 = _make_symint(shape_env, "s0", hint=2)
     s1 = _make_symint(shape_env, "s1", hint=3)
@@ -281,7 +281,7 @@ def test_mul_symbolic_shape_no_target():
     assert _expr_equals(result[0], sympy.Symbol("s0") * sympy.Symbol("s1"))
 
 
-def test_mul_mixed_shape_no_target():
+def test_mul_mixed_shape():
     shape_env = ShapeEnv()
     s0 = _make_symint(shape_env, "s0", hint=4)
 
@@ -299,7 +299,7 @@ def test_mul_mixed_shape_no_target():
 
 
 # Test DIV_FLOOR_SHAPE with constant values, which should perform floor division and return a constant shape.
-def test_div_floor_const_shape_no_target():
+def test_div_floor_const_shape():
     shape_env = ShapeEnv()
     with TosaLoweringContext(
         TosaSpecification.create_from_string("TOSA-1.1+FP+shape"), shape_env
@@ -312,7 +312,7 @@ def test_div_floor_const_shape_no_target():
 
 
 # Test DIV_FLOOR_SHAPE with symbolic values, which should produce a FloorDiv expression.
-def test_div_floor_symbolic_shape_no_target():
+def test_div_floor_symbolic_shape():
     shape_env = ShapeEnv()
     s0 = _make_symint(shape_env, "s0", hint=8)
     s1 = _make_symint(shape_env, "s1", hint=3)
@@ -330,7 +330,7 @@ def test_div_floor_symbolic_shape_no_target():
     assert _expr_equals(result[0], sympy.sympify("(s0//s1)"))
 
 
-def test_div_floor_mixed_shape_no_target():
+def test_div_floor_mixed_shape():
     shape_env = ShapeEnv()
     s0 = _make_symint(shape_env, "s0", hint=4)