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