test_tir_pass_makeapi.py 1.67 KB
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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.
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import tvm
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from tvm import te
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import numpy

def test_makeapi():
    """Not yet working, mock design"""
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    n = te.size_var('n')
    A = te.placeholder((n,), name='A')
    B = te.placeholder((n,), name='B')
    C = te.compute(A.shape, lambda *i: A(*i) + B(*i), name='C')
    s = te.create_schedule(C.op)
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    bounds = tvm.te.schedule.InferBound(s)
    stmt = tvm.te.schedule.ScheduleOps(s, bounds)
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    Ab = tvm.tir.decl_buffer(A.shape, A.dtype, name='A')
    Bb = tvm.tir.decl_buffer(B.shape, B.dtype, name='B')
    Cb = tvm.tir.decl_buffer(C.shape, C.dtype, name='C')
    stmt = tvm.tir.ir_pass.StorageFlatten(stmt, {A: Ab, B:Bb, C:Cb}, 64)
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    num_unpacked_args = 2
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    f = tvm.tir.ir_pass.MakeAPI(
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        stmt, "myadd", [n, Ab, Bb, Cb], num_unpacked_args, True)
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    assert(f.handle_data_type[Ab.data].dtype == Ab.dtype)
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    assert(len(f.args) == 7)
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    output_ssa = False


if __name__ == "__main__":
    test_makeapi()