wehub-resource-sync
159 lines
4.8 KiB
Python
159 lines
4.8 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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"""Test TVMScript with PEP 563 (from __future__ import annotations).
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IMPORTANT: The `from __future__ import annotations` import below is the
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test condition itself, because we need to test compatibility with it.
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"""
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from __future__ import annotations
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import tvm
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import tvm.testing
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from tvm.script import ir as I
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from tvm.script import tirx as T
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def _normalize(func):
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"""Strip the global_symbol so function names do not affect structural equality."""
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return func.with_attr("global_symbol", "")
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def test_prim_func_closure_shape():
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"""Closure variable used in Buffer shape annotation."""
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def f(M=16):
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@T.prim_func(s_tir=True)
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def func(A: T.Buffer((M,), "float32")):
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T.evaluate(0)
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return func
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@T.prim_func(s_tir=True)
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def expected_16(A: T.Buffer((16,), "float32")):
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T.evaluate(0)
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@T.prim_func(s_tir=True)
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def expected_32(A: T.Buffer((32,), "float32")):
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T.evaluate(0)
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tvm.ir.assert_structural_equal(_normalize(f(16)), _normalize(expected_16))
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tvm.ir.assert_structural_equal(_normalize(f(32)), _normalize(expected_32))
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def test_prim_func_closure_dtype():
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"""Closure variable used as Buffer dtype."""
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def f(dtype="float32"):
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@T.prim_func(s_tir=True)
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def func(A: T.Buffer((16,), dtype)):
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T.evaluate(0)
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return func
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@T.prim_func(s_tir=True)
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def expected_f32(A: T.Buffer((16,), "float32")):
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T.evaluate(0)
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@T.prim_func(s_tir=True)
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def expected_f16(A: T.Buffer((16,), "float16")):
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T.evaluate(0)
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tvm.ir.assert_structural_equal(_normalize(f("float32")), _normalize(expected_f32))
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tvm.ir.assert_structural_equal(_normalize(f("float16")), _normalize(expected_f16))
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def test_prim_func_nested_closure():
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"""Variables from enclosing scope active on the call stack (grandparent frame fallback).
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With PEP 563, closure-only variables are missing from __closure__ unless they
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appear in the function body. The ChainMap fallback walks the live call stack,
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so this works when the enclosing frames are still active (outer calls middle
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which applies the decorator, keeping outer's frame alive on the stack).
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"""
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def outer(M=16):
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def middle(N=8):
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@T.prim_func(s_tir=True)
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def func(A: T.Buffer((M, N), "float32")):
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T.evaluate(0)
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return func
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return middle()
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@T.prim_func(s_tir=True)
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def expected_16_8(A: T.Buffer((16, 8), "float32")):
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T.evaluate(0)
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@T.prim_func(s_tir=True)
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def expected_32_8(A: T.Buffer((32, 8), "float32")):
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T.evaluate(0)
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tvm.ir.assert_structural_equal(_normalize(outer(16)), _normalize(expected_16_8))
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tvm.ir.assert_structural_equal(_normalize(outer(32)), _normalize(expected_32_8))
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def test_ir_module_closure():
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"""Closure variable in @I.ir_module class method."""
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def f(M=16):
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@I.ir_module
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class Mod:
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@T.prim_func(s_tir=True)
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def main(A: T.Buffer((M,), "float32")):
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T.evaluate(0)
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return Mod
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@T.prim_func(s_tir=True)
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def expected_16(A: T.Buffer((16,), "float32")):
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T.evaluate(0)
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@T.prim_func(s_tir=True)
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def expected_32(A: T.Buffer((32,), "float32")):
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T.evaluate(0)
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tvm.ir.assert_structural_equal(_normalize(f(16)["main"]), _normalize(expected_16))
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tvm.ir.assert_structural_equal(_normalize(f(32)["main"]), _normalize(expected_32))
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def test_mixed_closure_usage():
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"""Closure var used in both annotation AND body -- regression check."""
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def f(M=16):
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@T.prim_func(s_tir=True)
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def func(A: T.Buffer((M,), "float32")):
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T.evaluate(M)
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return func
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@T.prim_func(s_tir=True)
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def expected_16(A: T.Buffer((16,), "float32")):
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T.evaluate(16)
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@T.prim_func(s_tir=True)
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def expected_32(A: T.Buffer((32,), "float32")):
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T.evaluate(32)
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tvm.ir.assert_structural_equal(_normalize(f(16)), _normalize(expected_16))
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tvm.ir.assert_structural_equal(_normalize(f(32)), _normalize(expected_32))
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if __name__ == "__main__":
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tvm.testing.main()
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