50 lines
1.7 KiB
Python
50 lines
1.7 KiB
Python
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#
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# Copyright (C) 2019 The Android Open Source Project
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# 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, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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def test(name, input0, alpha, output0, input0_data, output0_data):
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model = Model().Operation("ELU", input0, alpha).To(output0)
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example = Example({
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input0: input0_data,
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output0: output0_data,
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}, model=model, name=name).AddVariations("float16", "relaxed")
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test(
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name="alpha_one",
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input0=Input("input0", "TENSOR_FLOAT32", "{8}"),
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alpha=Float32Scalar("alpha", 1.0),
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output0=Output("output0", "TENSOR_FLOAT32", "{8}"),
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input0_data=[0, -6, 2, -4, 3, -2, 10, -0.1],
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output0_data=[0.0, -0.997521, 2.0, -0.981684, 3.0, -0.864665, 10.0, -0.0951626],
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)
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test(
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name="alpha01",
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input0=Input("input0", "TENSOR_FLOAT32", "{2, 2}"),
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alpha=Float32Scalar("alpha", 0.1),
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output0=Output("output0", "TENSOR_FLOAT32", "{2, 2}"),
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input0_data=[-0.2, -0.1, 0.0, 0.1],
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output0_data=[-0.018127, -0.009516, 0, 0.1],
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)
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test(
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name="alpha10",
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input0=Input("input0", "TENSOR_FLOAT32", "{2, 1, 1, 1, 2}"),
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alpha=Float32Scalar("alpha", 10),
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output0=Output("output0", "TENSOR_FLOAT32", "{2, 1, 1, 1, 2}"),
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input0_data=[-10, -5, 0, 5],
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output0_data=[-9.999546, -9.932620, 0, 5],
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)
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