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#
# Copyright (C) 2020 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.
#
# Model: z = if (cond) then (x + y) else (x - y)
# where cond has no value
x_data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
y_data = [8, 7, 6, 5, 4, 3, 2, 1, 0, -1, -2, -3]
ValueType = ["TENSOR_FLOAT32", [3, 4]]
BoolType = ["TENSOR_BOOL8", [1]]
def MakeBranchModel(operation_name):
x = Input("x", ValueType)
y = Input("y", ValueType)
z = Output("z", ValueType)
return Model().Operation(operation_name, x, y, 0).To(z)
def Test():
x = Input("x", ValueType)
y = Input("y", ValueType)
z = Output("z", ValueType)
cond = Parameter("cond", BoolType, value=None)
then_model = MakeBranchModel("ADD")
else_model = MakeBranchModel("SUB")
model = Model().Operation("IF", cond, then_model, else_model, x, y).To(z)
example = Example({x: x_data, y: y_data, z: y_data})
example.DisableLifeTimeVariation()
example.AddVariations(AllTensorsAsInputsConverter())
example.ExpectFailure()
Test()
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