diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_1_nnfw.mod.py')
| -rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_1_nnfw.mod.py | 34 |
1 files changed, 34 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_1_nnfw.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_1_nnfw.mod.py new file mode 100644 index 000000000..6030efeff --- /dev/null +++ b/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_1_nnfw.mod.py @@ -0,0 +1,34 @@ +# +# 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, 3, 4, 2}") +weights = Parameter("op2", "TENSOR_FLOAT32", "{1, 24}", + [-0.25449711, 0, -2.1247749, 0, -1.143796, 0, -1.0299346, 0, -2.2373879, 0, -0.083096743, 0, -1.3230739, 0, 0.15294921, 0, -0.53045893, 0, -0.46075189, 0, -1.4482396, 0, -1.609534, 0]) +bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", + [0.70098364,]) +out0 = Output("op3", "TENSOR_FLOAT32", "{1, 1}") +act_relu = Int32Scalar("act_relu", 0) +model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0) + +# Example 1. Input in operand 0, +input0 = {in0: # input 0 + [1.4910057783, 3.4019672871, -0.0598693565, -0.0065411143, -0.6461477280, 1.9235717058, 1.0784962177, 0.1765922010, -2.2495496273, -1.6010370255, -2.4747757912, -0.3825767934, 2.3058984280, 0.7288306952, -0.8964791894, -2.7584488392, -0.2875919640, 0.1335377693, 1.8338065147, -2.6112849712, 0.9390821457, 1.9843852520, -1.2190681696, 1.0274435282, ]} +output0 = {out0: # output 0 + [2.0375289917]} + +# Instantiate an example +Example((input0, output0)) |