50 lines
1.7 KiB
Python
50 lines
1.7 KiB
Python
#
|
|
# Copyright (C) 2019 The Android Open Source Project
|
|
#
|
|
# Licensed 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.
|
|
#
|
|
|
|
def test(name, input0, alpha, output0, input0_data, output0_data):
|
|
model = Model().Operation("ELU", input0, alpha).To(output0)
|
|
example = Example({
|
|
input0: input0_data,
|
|
output0: output0_data,
|
|
}, model=model, name=name).AddVariations("float16", "relaxed")
|
|
|
|
test(
|
|
name="alpha_one",
|
|
input0=Input("input0", "TENSOR_FLOAT32", "{8}"),
|
|
alpha=Float32Scalar("alpha", 1.0),
|
|
output0=Output("output0", "TENSOR_FLOAT32", "{8}"),
|
|
input0_data=[0, -6, 2, -4, 3, -2, 10, -0.1],
|
|
output0_data=[0.0, -0.997521, 2.0, -0.981684, 3.0, -0.864665, 10.0, -0.0951626],
|
|
)
|
|
|
|
test(
|
|
name="alpha01",
|
|
input0=Input("input0", "TENSOR_FLOAT32", "{2, 2}"),
|
|
alpha=Float32Scalar("alpha", 0.1),
|
|
output0=Output("output0", "TENSOR_FLOAT32", "{2, 2}"),
|
|
input0_data=[-0.2, -0.1, 0.0, 0.1],
|
|
output0_data=[-0.018127, -0.009516, 0, 0.1],
|
|
)
|
|
|
|
test(
|
|
name="alpha10",
|
|
input0=Input("input0", "TENSOR_FLOAT32", "{2, 1, 1, 1, 2}"),
|
|
alpha=Float32Scalar("alpha", 10),
|
|
output0=Output("output0", "TENSOR_FLOAT32", "{2, 1, 1, 1, 2}"),
|
|
input0_data=[-10, -5, 0, 5],
|
|
output0_data=[-9.999546, -9.932620, 0, 5],
|
|
)
|