test_topi_dilate.py 1.95 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
import topi
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import topi.testing
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import numpy as np


def test_dilate():
    target = 'llvm'
    ctx = tvm.cpu(0)

    def _test_dilate(input_size, strides):
        Input = tvm.placeholder((input_size))
        Output = topi.nn.dilate(Input, strides)
        schedule = tvm.create_schedule(Output.op)
        input_np = np.random.uniform(size=input_size).astype(Input.dtype)
        output_np = topi.testing.dilate_python(input_np, strides)
        input_tvm = tvm.nd.array(input_np, ctx=ctx)
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        output_size = topi.util.get_const_tuple(Output.shape)
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        output_tvm = tvm.nd.array(np.zeros(shape=output_size).astype(Output.dtype), ctx=ctx)
        f = tvm.build(schedule, [Input, Output], target)
        f(input_tvm, output_tvm)
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        tvm.testing.assert_allclose(output_tvm.asnumpy(), output_np, rtol=1e-5)
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    _test_dilate((32,), (2,))
    _test_dilate((32,32), (2,2))
    _test_dilate((1,3,32,32), (1,1,1,1))
    _test_dilate((1,3,32,32), (2,2,2,2))
    _test_dilate((1,32,32,3,3), (1,1,1,1,1))
    _test_dilate((1,32,32,3,3), (2,2,2,2,2))
    _test_dilate((1,32,32,32,3,3), (1,1,1,2,2,2))
    _test_dilate((1,32,32,32,3,3), (2,2,2,1,1,1))


if __name__ == "__main__":
    test_dilate()