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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/pad_v2_all_dims.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/pad_v2_all_dims.mod.py')
-rw-r--r-- | tests/nnapi/specs/skip/V1_2/pad_v2_all_dims.mod.py | 40 |
1 files changed, 40 insertions, 0 deletions
diff --git a/tests/nnapi/specs/skip/V1_2/pad_v2_all_dims.mod.py b/tests/nnapi/specs/skip/V1_2/pad_v2_all_dims.mod.py new file mode 100644 index 000000000..5b27f4963 --- /dev/null +++ b/tests/nnapi/specs/skip/V1_2/pad_v2_all_dims.mod.py @@ -0,0 +1,40 @@ +# +# Copyright (C) 2019 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. +# + +import numpy as np + +input0 = Input("input0", "TENSOR_FLOAT32", "{1, 1, 2, 3}") +paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [1, 2, + 3, 4, + 3, 3, + 2, 1]) +pad_value = Float32Scalar("pad_value", 3.9) +output0 = Output("output0", "TENSOR_FLOAT32", "{4, 8, 8, 6}") + +model = Model().Operation("PAD_V2", input0, paddings, pad_value).To(output0) + +Example({ + input0: [1.0, 2.0, 3.0, + 4.0, 5.0, 6.0], + output0: np.pad([[[[1.0, 2.0, 3.0], + [4.0, 5.0, 6.0]]]], + [[1, 2], + [3, 4], + [3, 3], + [2, 1]], + "constant", + constant_values=3.9).flatten().tolist(), +}).AddVariations("float16", "relaxed") |