Tianqi Chen
47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
# 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()
|