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Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/avg_pool_quant8_5.mod.py')
| -rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_0/avg_pool_quant8_5.mod.py | 31 |
1 files changed, 0 insertions, 31 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/avg_pool_quant8_5.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/avg_pool_quant8_5.mod.py deleted file mode 100644 index f6db46eb8..000000000 --- a/runtimes/tests/neural_networks_test/specs/V1_0/avg_pool_quant8_5.mod.py +++ /dev/null @@ -1,31 +0,0 @@ -# -# 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 = Model() -i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 2, 4, 1}, 0.0625f, 0") # input 0 -cons2 = Int32Scalar("cons2", 2) -pad_same = Int32Scalar("pad_same", 1) -act_none = Int32Scalar("act_none", 0) -i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{1, 1, 2, 1}, 0.0625f, 0") # output 0 -model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3) -# Example 1. Input in operand 0, -input0 = {i1: # input 0 - [0, 96, 32, 64, 48, 32, 160, 112]} -output0 = {i3: # output 0 - [44, 92]} -# Instantiate an example -Example((input0, output0)) |