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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.
#
# model
model = Model()
i1 = Input("op1", "TENSOR_FLOAT32", "{2}") # a vector of 2 float32s
i2 = Input("op2", "TENSOR_FLOAT32", "{2}") # another vector of 2 float32s
act = Int32Scalar("act", 0) # an int32_t scalar activation
i3 = Output("op3", "TENSOR_FLOAT32", "{2}")
model = model.Operation("ADD", i1, i2, act).To(i3)
model = model.RelaxedExecution(True)
# Example 1. Input in operand 0,
input0 = {i1: # input 0
[1.0, 2.0],
i2: # input 1
[3.0, 4.0]}
output0 = {i3: # output 0
[4.0, 6.0]}
# Instantiate an example
Example((input0, output0))
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