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Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/l2_pool_float.mod.py')
| -rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_0/l2_pool_float.mod.py | 30 |
1 files changed, 30 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/l2_pool_float.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/l2_pool_float.mod.py new file mode 100644 index 000000000..fee09746e --- /dev/null +++ b/runtimes/tests/neural_networks_test/specs/V1_0/l2_pool_float.mod.py @@ -0,0 +1,30 @@ +# +# Copyright (C) 2017 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() +i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # input 0 +cons1 = Int32Scalar("cons1", 1) +pad0 = Int32Scalar("pad0", 0) +act = Int32Scalar("act", 0) +i3 = Output("op3", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 +model = model.Operation("L2_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3) +# Example 1. Input in operand 0, +input0 = {i1: # input 0 + [1.0, 2.0, 3.0, 4.0]} +output0 = {i3: # output 0 + [1.0, 2.0, 3.0, 4.0]} +# Instantiate an example +Example((input0, output0)) |