| # |
| # 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", "{1, 5}") # batch = 1, input_size = 5 |
| weights = Input("op2", "TENSOR_FLOAT32", "{1, 5}") # num_units = 1, input_size = 5 |
| bias = Input("b0", "TENSOR_FLOAT32", "{1}") |
| out0 = Output("op3", "TENSOR_FLOAT32", "{1, 1}") # batch = 1, number_units = 1 |
| act = Int32Scalar("act", 0) |
| model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) |
| model = model.RelaxedExecution(True) |
| |
| # Example 1. Input in operand 0, |
| input0 = {in0: # input 0 |
| [1, 10, 100, 1000, 10000], |
| weights: |
| [2, 3, 4, 5, 6], |
| bias: |
| [900000]} |
| output0 = {out0: # output 0 |
| [965432]} |
| |
| # Instantiate an example |
| Example((input0, output0)) |
