diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_2.mod.py')
| -rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_2.mod.py | 61 |
1 files changed, 61 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_2.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_2.mod.py new file mode 100644 index 000000000..92fad6063 --- /dev/null +++ b/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_2.mod.py @@ -0,0 +1,61 @@ +# +# 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) + +# 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)) |