test_top_assign.py 1.81 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 numpy as np

import tvm
from tvm.contrib import graph_runtime

import nnvm.symbol as sym
import nnvm.compiler
from nnvm.testing.config import ctx_list


def test_update():
    w = sym.Variable("w")
    w2 = sym.Variable("w2")
    w = sym._assign(w, w + 1)
    w2 = sym._assign(w2, w + 1)

    dshape = (5, 3, 18, 18)
    shape_dict = {"w": dshape, "w2":dshape}
    dtype = "float32"

    def check(target, ctx):
        graph, lib, _ = nnvm.compiler.build(w2, target, shape_dict)

        m = graph_runtime.create(graph, lib, ctx)

        data = tvm.nd.array(np.random.uniform(size=dshape).astype(dtype))
        m.set_input("w", data)
        m.run()
        out = m.get_input("w2", tvm.nd.empty(dshape, dtype))
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        tvm.testing.assert_allclose(out.asnumpy(), data.asnumpy() + 2, rtol=1e-5)
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        m.run()
        out = m.get_input("w2", tvm.nd.empty(dshape, dtype))
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        tvm.testing.assert_allclose(out.asnumpy(), data.asnumpy() + 3, rtol=1e-5)
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    for target, ctx in ctx_list():
        check(target, ctx)


if __name__ == "__main__":
    test_update()