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author | Chunseok Lee <chunseok.lee@samsung.com> | 2020-03-05 15:10:09 +0900 |
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committer | Chunseok Lee <chunseok.lee@samsung.com> | 2020-03-05 15:22:53 +0900 |
commit | d91a039e0eda6fd70dcd22672b8ce1817c1ca50e (patch) | |
tree | 62668ec548cf31fadbbf4e99522999ad13434a25 /tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_vts_quant8/conv_quant8.mod.py | |
parent | bd11b24234d7d43dfe05a81c520aa01ffad06e42 (diff) | |
download | nnfw-d91a039e0eda6fd70dcd22672b8ce1817c1ca50e.tar.gz nnfw-d91a039e0eda6fd70dcd22672b8ce1817c1ca50e.tar.bz2 nnfw-d91a039e0eda6fd70dcd22672b8ce1817c1ca50e.zip |
catch up to tizen_5.5 and remove unness dir
- update to tizen_5.5
- remove dirs
Diffstat (limited to 'tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_vts_quant8/conv_quant8.mod.py')
-rw-r--r-- | tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_vts_quant8/conv_quant8.mod.py | 35 |
1 files changed, 35 insertions, 0 deletions
diff --git a/tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_vts_quant8/conv_quant8.mod.py b/tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_vts_quant8/conv_quant8.mod.py new file mode 100644 index 000000000..f6b3e89ca --- /dev/null +++ b/tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_vts_quant8/conv_quant8.mod.py @@ -0,0 +1,35 @@ +# Copyright 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() +i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 1}") +f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [.25, .25, .25, .25]) +b1 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [0]) +pad0 = Int32Scalar("pad0", 0) +act = Int32Scalar("act", 0) +stride = Int32Scalar("stride", 1) +output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 1}") + +model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) +model = model.RelaxedExecution(True) + +# Example 1. Input in operand 0, +input0 = {i1: # input 0 + [1.0, 1.0, 1.0, 1.0, 0.5, 1.0, 1.0, 1.0, 1.0]} + +output0 = {output: # output 0 + [.875, .875, .875, .875]} + +# Instantiate an example +Example((input0, output0)) |