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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.
#
base = Input("base", "TENSOR_FLOAT32", "{2, 1}")
exponents = [Input("exponent", "TENSOR_FLOAT32", "{1}"),
Input("exponent", "TENSOR_FLOAT32", "{1, 2}"),
Input("exponent", "TENSOR_FLOAT32", "{3, 1, 2}")]
outputs = [Output("output", "TENSOR_FLOAT32", "{2, 1}"),
Output("output", "TENSOR_FLOAT32", "{2, 2}"),
Output("output", "TENSOR_FLOAT32", "{3, 2, 2}")]
base_data = [2., 3.]
exponents_data = [[2.],
[2., 3.],
[0., 0.5, 1., 2., 3., 4.]]
outputs_data = [[4., 9.],
[4., 8., 9., 27.],
[1., 2 ** 0.5, 1., 3 ** 0.5, 2., 4., 3., 9., 8., 16., 27., 81.]]
for exponent, output, exponent_data, output_data in zip(exponents, outputs, exponents_data, outputs_data):
model = Model().Operation("POW", base, exponent).To(output)
Example({
base: base_data,
exponent: exponent_data,
output: output_data
}, model=model).AddVariations("relaxed", "float16")
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