# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. """AssertStmt codegen tests: verify kind and message_parts produce correct exceptions.""" import pytest import tvm import tvm.testing from tvm.script import tirx as T codegen_target = tvm.testing.parameter("llvm", "c") def test_assert_runtime_error(codegen_target): """AssertStmt with RuntimeError kind produces RuntimeError.""" @T.prim_func(s_tir=True) def func(x: T.int32): assert x > 0, ("RuntimeError", ["Expected non-null input"]) lib = tvm.compile(func, target=codegen_target) with pytest.raises(RuntimeError, match="Expected non-null input"): lib(0) def test_assert_value_error(codegen_target): """AssertStmt with ValueError kind produces ValueError.""" @T.prim_func(s_tir=True) def func(x: T.int32): assert x > 0, ("ValueError", ["Shape mismatch: expected 4 got 8"]) lib = tvm.compile(func, target=codegen_target) with pytest.raises(ValueError, match="Shape mismatch"): lib(0) def test_assert_type_error(codegen_target): """AssertStmt with TypeError kind produces TypeError.""" @T.prim_func(s_tir=True) def func(x: T.int32): assert x > 0, ("TypeError", ["Expected Tensor but got int"]) lib = tvm.compile(func, target=codegen_target) with pytest.raises(TypeError, match="Expected Tensor but got int"): lib(0) def test_assert_multi_part_message(codegen_target): """Multi-part messages are correctly concatenated at runtime.""" @T.prim_func(s_tir=True) def func(x: T.int32): assert x > 0, ("ValueError", ["Expected shape ", "4", " but got ", "8"]) lib = tvm.compile(func, target=codegen_target) with pytest.raises(ValueError, match="Expected shape 4 but got 8"): lib(0) def test_assert_passing_condition(codegen_target): """Passing assertion does not raise.""" @T.prim_func(s_tir=True) def func(x: T.int32): assert x > 0, ("RuntimeError", ["This should not be raised"]) lib = tvm.compile(func, target=codegen_target) lib(1) # should pass without error def test_assert_many_parts(codegen_target): """Assertion with 8 parts concatenated correctly.""" @T.prim_func(s_tir=True) def func(x: T.int32): assert x > 0, ("RuntimeError", ["p0", "p1", "p2", "p3", "p4", "p5", "p6", "p7"]) lib = tvm.compile(func, target=codegen_target) with pytest.raises(RuntimeError, match="p0p1p2p3p4p5p6p7"): lib(0) def test_tvmscript_assert_preserves_kind(codegen_target): """Regression: TVMScript structured assert preserves kind at runtime.""" @T.prim_func(s_tir=True) def func(x: T.int32): assert x > 0, ("ValueError", ["x must be positive"]) lib = tvm.compile(func, target=codegen_target) with pytest.raises(ValueError, match="x must be positive"): lib(0) def test_tvmscript_assert_preserves_parts(codegen_target): """Regression: TVMScript structured assert with separate parts.""" @T.prim_func(s_tir=True) def func(x: T.int32): assert x > 0, ("ValueError", ["x must be ", "positive"]) lib = tvm.compile(func, target=codegen_target) with pytest.raises(ValueError, match="x must be positive"): lib(0) if __name__ == "__main__": tvm.testing.main()