blob: 48722e94da5686eb26db290745cccdee3c9dc49b [file] [log] [blame]
#
# 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., -1.1470304, 0., -0.22940612,
0., -0.22940612, 0., 1.6058424,
0.99995005, -0.7337929, -0.99995005, 0.52413774,
-0.99995005, -1.1531031, 0.99995005, 1.3627582
]
}).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., 7.7059393, 10., 9.541187,
10., 9.541187, 10., 13.211685,
11.9999, 8.532414, 8.0001, 11.048275,
8.0001, 7.693794, 11.9999, 12.725516
]
}).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16")