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Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/l2_normalization_large.mod.py')
-rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_0/l2_normalization_large.mod.py | 38 |
1 files changed, 0 insertions, 38 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/l2_normalization_large.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/l2_normalization_large.mod.py deleted file mode 100644 index 58b2d4f28..000000000 --- a/runtimes/tests/neural_networks_test/specs/V1_0/l2_normalization_large.mod.py +++ /dev/null @@ -1,38 +0,0 @@ -# -# 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, 3}") -i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 3}") - -# Color wize (channel-wise) normalization -model = model.Operation("L2_NORMALIZATION", i1).To(i2) - -# Example 1. Input in operand 0, -input0 = {i1: # input 0 - 4 color, 3 channels - [0, 3, 4, # 5 - 0, 5, 12, # 13, - 0, 8, 15, # 17, - 0, 7, 24]} # 25 - -output0 = {i2: # output 0 - [0, .6, .8, - 0, 0.38461539149284363, 0.92307698726654053, - 0, 0.47058823704719543, 0.88235294818878174, - 0, 0.28, 0.96]} - -# Instantiate an example -Example((input0, output0)) |