chore: import upstream snapshot with attribution
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This commit is contained in:
wehub-resource-sync
2026-07-13 13:36:25 +08:00
commit 26446540fa
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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.
import tvm
import tvm.testing
from tvm.relax.transform import LowerAllocTensor
from tvm.script import ir as I
from tvm.script import relax as R
def test_basic():
@I.ir_module
class Before:
@R.function
def main():
x = R.builtin.alloc_tensor(R.shape([16, 32]), "float32", 0)
return x
@I.ir_module
class Expected:
@R.function
def main():
storage = R.memory.alloc_storage(R.shape([2048]), 0, "global", "uint8")
x = R.memory.alloc_tensor(storage, 0, R.shape([16, 32]), "float32")
return x
After = LowerAllocTensor()(Before)
tvm.ir.assert_structural_equal(Expected, After)
if __name__ == "__main__":
tvm.testing.main()