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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()
in0 = Input("op1", "TENSOR_FLOAT32", "{2, 8}")
weights = Parameter("op2", "TENSOR_FLOAT32", "{16, 8}",
[0.091327, 0.103366, -0.316505, -0.083120, 0.149366, -0.196636,
-0.123672, 0.062800, 0.063031, 0.191670, -0.062001, -0.061504,
-0.275581, 0.059388, -0.118497, -0.079224, 0.109758, 0.008307,
-0.062657, -0.060962, -0.049782, -0.106719, -0.319482, -0.103650,
0.266455, 0.051517, -0.123448, 0.322464, 0.043282, -0.173782,
-0.190381, 0.002013, 0.096086, 0.131157, 0.031164, 0.100638,
-0.312191, -0.080923, -0.101318, -0.116614, 0.142238, 0.086540,
-0.139154, 0.174268, -0.073161, 0.080072, 0.006874, 0.229382,
-0.104321, -0.176035, -0.208587, -0.001019, -0.162032, 0.080824,
-0.025021, 0.074460, -0.252595, -0.161750, -0.136403, 0.008308,
0.005710, 0.096600, 0.289839, 0.218816, -0.304651, -0.070958,
0.054598, 0.147113, -0.139112, -0.072798, -0.163335, -0.167863,
-0.128762, -0.035780, 0.117262, 0.017177, 0.263335, -0.176612,
0.262961, -0.093654, -0.339283, 0.333071, 0.180827, 0.287583,
0.066350, -0.197947, -0.114449, -0.236035, 0.103532, -0.034284,
0.093299, -0.145361, 0.054001, 0.250570, 0.157010, -0.143480,
-0.139061, -0.048873, 0.067557, 0.139038, 0.324106, 0.227041,
0.037793, -0.225747, -0.241619, 0.357835, 0.135762, -0.306764,
-0.125982, 0.091916, 0.266587, 0.030135, 0.265148, 0.141627,
0.020120, 0.083815, -0.124556, -0.100124, -0.048159, 0.181172,
0.302309, -0.041084, 0.146334, -0.061511, -0.232605, 0.281324,
0.145408, -0.221897])
bias = Parameter("b0", "TENSOR_FLOAT32", "{16}",
[-0.160594, 0.205770, -0.078307, -0.077984, 0.001937, 0.015860,
0.036810, 0.012346, 0.001028, 0.038551, 0.075415, 0.020804,
0.048478, -0.032270, 0.175688, -0.085662])
out0 = Output("op3", "TENSOR_FLOAT32", "{2, 16}")
act_relu = Int32Scalar("act_relu", 1)
model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0)
model = model.RelaxedExecution(True)
# Example 1. Input in operand 0,
input0 = {in0: # input 0
[0.503691, 0.196961, 0.521017, 0.554248, 0.288678, 0.792476, 0.561653, 0.462230,
0.650736, 0.163132, 0.029658, 0.411544, 0.470539, 0.572390, 0.538755, 0.212030]}
output0 = {out0: # output 0
[0, 0.0732134, 0, 0, 0, 0.280859, 0, 0.128927,
0, 0.0777251, 0, 0.270268, 0.271435, 0.0173503, 0.335465, 0.235562,
0, 0.0745866, 0, 0.051611, 0, 0.253876, 0, 0.0814873,
0, 0.104104, 0, 0.248529, 0.264194, 0, 0.302973, 0.166252,]}
# Instantiate an example
Example((input0, output0))
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