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author | Chunseok Lee <chunseok.lee@samsung.com> | 2020-03-04 18:09:24 +0900 |
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committer | Chunseok Lee <chunseok.lee@samsung.com> | 2020-03-04 18:09:24 +0900 |
commit | 302e6564a7a76109e1178207e44e45a58631c477 (patch) | |
tree | 6cc4bd95e5e438331fc2c53234af4ed0e0f3bc20 /tests/nnapi/specs/skip/V1_2/tile_3.mod.py | |
parent | bd11b24234d7d43dfe05a81c520aa01ffad06e42 (diff) | |
download | nnfw-302e6564a7a76109e1178207e44e45a58631c477.tar.gz nnfw-302e6564a7a76109e1178207e44e45a58631c477.tar.bz2 nnfw-302e6564a7a76109e1178207e44e45a58631c477.zip |
Imported Upstream version 1.1.0upstream/1.1.0submit/tizen/20200304.094649submit/tizen/20200304.093946submit/tizen/20200304.092919accepted/tizen/unified/20200305.051107
Diffstat (limited to 'tests/nnapi/specs/skip/V1_2/tile_3.mod.py')
-rw-r--r-- | tests/nnapi/specs/skip/V1_2/tile_3.mod.py | 50 |
1 files changed, 50 insertions, 0 deletions
diff --git a/tests/nnapi/specs/skip/V1_2/tile_3.mod.py b/tests/nnapi/specs/skip/V1_2/tile_3.mod.py new file mode 100644 index 000000000..2b949a6f1 --- /dev/null +++ b/tests/nnapi/specs/skip/V1_2/tile_3.mod.py @@ -0,0 +1,50 @@ +# +# 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. +# + +input0 = Input("input0", "TENSOR_FLOAT32", "{1, 2, 3}") +multipliers = Input("multipliers", "TENSOR_INT32", "{3}") +output0 = Output("output0", "TENSOR_FLOAT32", "{2, 6, 3}") + +model = Model().Operation("TILE", input0, multipliers).To(output0) + +input_values = [11, 12, 13, + 21, 22, 23] +multiplier_values = [2, 3, 1] +output_values = [11, 12, 13, 21, 22, 23, 11, 12, 13, + 21, 22, 23, 11, 12, 13, 21, 22, 23, + 11, 12, 13, 21, 22, 23, 11, 12, 13, + 21, 22, 23, 11, 12, 13, 21, 22, 23] + +quant8 = DataTypeConverter().Identify({ + input0: ["TENSOR_QUANT8_ASYMM", 0.5, 127], + output0: ["TENSOR_QUANT8_ASYMM", 0.5, 127], +}) + +int32 = DataTypeConverter().Identify({ + input0: ["TENSOR_INT32"], + output0: ["TENSOR_INT32"], +}) + +float16 = DataTypeConverter().Identify({ + input0: ["TENSOR_FLOAT16"], + output0: ["TENSOR_FLOAT16"], +}) + +Example({ + input0: input_values, + multipliers: multiplier_values, + output0: output_values, +}).AddVariations("relaxed", float16, quant8, int32) |