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# Licensed to the Apache Software Foundation (ASF) under one
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# 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
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# under the License.
import tvm
import numpy as np
from tvm.script import ir as I, tir as T
def test_dltensor_compatible():
@I.ir_module
class Module:
@T.prim_func
def arange(A: T.handle):
n = T.int32()
Ab = T.match_buffer(A, (n,), "int64")
for i in T.serial(n - 1):
Ab[i + 1] = Ab[i] + T.int64(1)
mod = Module
f = tvm.compile(mod, target="llvm")
a = tvm.runtime.tensor(np.zeros(10, dtype="int64"))
f(a)
np.testing.assert_equal(a.numpy(), np.arange(a.shape[0]))
if __name__ == "__main__":
test_dltensor_compatible()