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#
# Copyright (C) 2018 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.
#
layout = BoolScalar("layout", False) # NHWC
# TEST 1: INSTANCE_NORMALIZATION, gamma = 1, beta = 0, epsilon = 0.0001
i1 = Input("in", "TENSOR_FLOAT32", "{2, 2, 2, 2}")
o1 = Output("out", "TENSOR_FLOAT32", "{2, 2, 2, 2}")
Model().Operation("INSTANCE_NORMALIZATION", i1, 1.0, 0.0, 0.0001, layout).To(o1)
# Instantiate an example
Example({
i1: [
0, 1, 0, 2, 0, 2, 0, 4,
1, -1, -1, 2, -1, -2, 1, 4
],
o1: [
0.00, -0.499996, 0.00, -0.0999992,
0.00, -0.0999992, 0.00, 0.6999944,
0.99995, -0.6999944, -0.99995, 0.499996,
-0.99995, -1.0999912, 0.99995, 1.2999896
]
}).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16")
# TEST 2: INSTANCE_NORMALIZATION, gamma = 2, beta = 10, epsilon = 0.0001
i2 = Input("in", "TENSOR_FLOAT32", "{2, 2, 2, 2}")
o2 = Output("out", "TENSOR_FLOAT32", "{2, 2, 2, 2}")
Model().Operation("INSTANCE_NORMALIZATION", i2, 2.0, 10.0, 0.0001, layout).To(o2)
# Instantiate an example
Example({
i2: [
0, 1, 0, 2, 0, 2, 0, 4,
1, -1, -1, 2, -1, -2, 1, 4
],
o2: [
10. , 9.000008 , 10. , 9.8000016, 10. ,
9.8000016, 10. , 11.3999888, 11.9999 , 8.6000112,
8.0001 , 10.999992 , 8.0001 , 7.8000176, 11.9999 ,
12.5999792
]
}).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16")
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