43 lines
1.4 KiB
Python
43 lines
1.4 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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import numpy as np
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import tvm
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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 test_dltensor_compatible():
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@I.ir_module
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class Module:
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@T.prim_func(s_tir=True)
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def arange(A: T.handle):
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n = T.int32()
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Ab = T.match_buffer(A, (n,), "int64")
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for i in T.serial(n - 1):
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Ab[i + 1] = Ab[i] + T.int64(1)
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mod = Module
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f = tvm.compile(mod, target="llvm")
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a = tvm.runtime.tensor(np.zeros(10, dtype="int64"))
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f(a)
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np.testing.assert_equal(a.numpy(), np.arange(a.shape[0]))
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if __name__ == "__main__":
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test_dltensor_compatible()
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