1# 2# Copyright (C) 2018 The Android Open Source Project 3# 4# Licensed under the Apache License, Version 2.0 (the "License"); 5# you may not use this file except in compliance with the License. 6# You may obtain a copy of the License at 7# 8# http://www.apache.org/licenses/LICENSE-2.0 9# 10# Unless required by applicable law or agreed to in writing, software 11# distributed under the License is distributed on an "AS IS" BASIS, 12# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13# See the License for the specific language governing permissions and 14# limitations under the License. 15# 16 17model = Model() 18in0 = Input("op1", "TENSOR_QUANT8_ASYMM", "{4, 1, 5, 1}, 0.5f, 127") 19weights = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{3, 10}, 0.5f, 127", 20 [129, 131, 133, 135, 137, 139, 141, 143, 145, 147, 21 129, 131, 133, 135, 137, 139, 141, 143, 145, 147, 22 129, 131, 133, 135, 137, 139, 141, 143, 145, 147]) 23bias = Parameter("b0", "TENSOR_INT32", "{3}, 0.25f, 0", [4, 8, 12]) 24out0 = Output("op3", "TENSOR_QUANT8_ASYMM", "{2, 3}, 1.f, 127") 25act_relu = Int32Scalar("act_relu", 1) 26model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0) 27 28# Example 1. Input in operand 0, 29input0 = {in0: # input 0 30 [129, 131, 133, 135, 137, 139, 141, 143, 109, 107, 31 129, 131, 133, 135, 137, 139, 141, 111, 145, 107]} 32output0 = {out0: # output 0 33 [151, 152, 153, 185, 186, 187]} 34 35# Instantiate an example 36Example((input0, output0)) 37