chore: import upstream snapshot with attribution

tests/python/all-platform-minimal-test/README.md

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+<!--- 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. -->
+
+# Core Cross Platform Regression Tests
+
+CI Unit test cases that will run on all platforms.
+To reduce the CI burden, we only put in test-cases that are platform sensitive.
+Please use the following guideline:
+
+- Always consider add tests to the unittest folder first.
+- If a problems that passes the Linux pipeline but fails in Windows or MacOS,
+  we should isolate the problem, write a minimal regression test case
+  and add it to this folder.
+- A test case in this folder should be minimal and finish in a reasonable amount of time.
+- Document about why it should be in the all-platform-minimal-test.

tests/python/all-platform-minimal-test/test_minimal_target_codegen_llvm.py

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+# 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.
+# ruff: noqa: F401
+"""LLVM enablement tests."""
+
+import ctypes
+import math
+import re
+
+import numpy as np
+import pytest
+
+import tvm
+import tvm.testing
+from tvm import te, topi
+from tvm.support import utils
+from tvm.testing import env
+
+
+@pytest.mark.skipif(not env.has_llvm(), reason="need llvm")
+def test_llvm_add_pipeline():
+    """all-platform-minimal-test: Check LLVM enablement."""
+    nn = 128
+    n = tvm.runtime.convert(nn)
+    A = te.placeholder((n,), name="A")
+    B = te.placeholder((n,), name="B")
+    AA = te.compute((n,), lambda *i: A(*i), name="A")
+    BB = te.compute((n,), lambda *i: B(*i), name="B")
+    T = te.compute(A.shape, lambda *i: AA(*i) + BB(*i), name="T")
+    C = te.compute(A.shape, lambda *i: T(*i), name="C")
+
+    sch = tvm.s_tir.Schedule(te.create_prim_func([A, B, C]))
+    xo, xi = sch.split(sch.get_loops("C")[0], factors=[None, 4])
+    sch.parallel(xo)
+    sch.vectorize(xi)
+
+    def check_llvm():
+        # BUILD and invoke the kernel.
+        f = tvm.compile(sch.mod, target="llvm")
+        dev = tvm.cpu(0)
+        # launch the kernel.
+        n = nn
+        a = tvm.runtime.tensor(np.random.uniform(size=n).astype(A.dtype), dev)
+        b = tvm.runtime.tensor(np.random.uniform(size=n).astype(B.dtype), dev)
+        c = tvm.runtime.tensor(np.zeros(n, dtype=C.dtype), dev)
+        f(a, b, c)
+        tvm.testing.assert_allclose(c.numpy(), a.numpy() + b.numpy())
+
+    check_llvm()

tests/python/all-platform-minimal-test/test_validate_runtime_library.py

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+# 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.
+"""Post-install checks for a built TVM wheel.
+
+These live in ``tests/python/all-platform-minimal-test`` so the standard suite and
+the cibuildwheel ``test-command`` run a single pytest invocation. The assertions
+here are wheel-specific things the rest of the suite cannot check -- that LLVM is
+enabled (the other LLVM test merely *skips* when LLVM is absent) and that the CUDA
+runtime library got bundled -- so each is gated behind a ``TVM_WHEEL_EXPECT_*`` env
+var and SKIPS unless that var is set. cibuildwheel sets the vars (see
+``CIBW_TEST_ENVIRONMENT`` in ``.github/actions/build-wheel-for-publish``); ordinary
+source-build CI (e.g. ``main.yml``) leaves them unset, so these tests skip there and
+never fail a non-wheel / non-LLVM / non-CUDA build.
+"""
+
+import glob
+import os
+from pathlib import Path
+
+import pytest
+
+import tvm
+
+
+def test_llvm_enabled():
+    """Every published TVM wheel ships with LLVM enabled. Only assert this when
+    validating a wheel (``TVM_WHEEL_EXPECT_LLVM=1``); skip otherwise so source
+    builds with LLVM off do not fail."""
+    if os.environ.get("TVM_WHEEL_EXPECT_LLVM") != "1":
+        pytest.skip("LLVM enablement only asserted during wheel validation")
+    assert tvm.runtime.enabled("llvm"), "wheel was not built with LLVM enabled"
+
+
+def test_cuda_runtime_present():
+    """The bundled CUDA runtime library must be present in tvm/lib."""
+    if os.environ.get("TVM_WHEEL_EXPECT_CUDA_RUNTIME") != "1":
+        pytest.skip("CUDA runtime not expected in this wheel")
+    libdir = Path(tvm.__file__).resolve().parent / "lib"
+    present = glob.glob(str(libdir / "libtvm_runtime_cuda.*")) or glob.glob(
+        str(libdir / "tvm_runtime_cuda.*")
+    )
+    assert present, "CUDA runtime expected but not bundled in tvm/lib"