| # |
| # 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. |
| # |
| |
| # This test is for testing the input requirements of Fully Connected Op: |
| # the input's first dimension doesn't have to be the batch size, the |
| # input is reshaped as needed. |
| |
| model = Model() |
| in0 = Input("op1", "TENSOR_FLOAT32", "{4, 1, 5, 1}") |
| weights = Parameter("op2", "TENSOR_FLOAT32", "{3, 10}", [ |
| 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, # u = 0 |
| 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, # u = 1 |
| 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, # u = 1 |
| ]) |
| bias = Parameter("b0", "TENSOR_FLOAT32", "{3}", [1, 2, 3]) |
| out0 = Output("op3", "TENSOR_FLOAT32", "{2, 3}") |
| act = Int32Scalar("act", 0) |
| model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) |
| |
| # Example 1. Input in operand 0, |
| input0 = {in0: # input 0 |
| [1, 2, 3, 4, 5, 6, 7, 8, -9, -10, |
| 1, 2, 3, 4, 5, 6, 7, -8, 9, -10]} |
| output0 = {out0: # output 0 |
| [24, 25, 26, |
| 58, 59, 60]} |
| |
| # Instantiate an example |
| Example((input0, output0)) |
