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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_1/concat_float_3_relaxed.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_1/concat_float_3_relaxed.mod.py')
-rw-r--r-- | tests/nnapi/specs/skip/V1_1/concat_float_3_relaxed.mod.py | 48 |
1 files changed, 48 insertions, 0 deletions
diff --git a/tests/nnapi/specs/skip/V1_1/concat_float_3_relaxed.mod.py b/tests/nnapi/specs/skip/V1_1/concat_float_3_relaxed.mod.py new file mode 100644 index 000000000..df3d894d6 --- /dev/null +++ b/tests/nnapi/specs/skip/V1_1/concat_float_3_relaxed.mod.py @@ -0,0 +1,48 @@ +# +# 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() + +row = 212 +col1 = 60 +col2 = 30 +output_col = col1 + col2 + +input1 = Input("input1", "TENSOR_FLOAT32", "{%d, %d}" % (row, col1)) # input tensor 1 +input2 = Input("input2", "TENSOR_FLOAT32", "{%d, %d}" % (row, col2)) # input tensor 2 +axis1 = Int32Scalar("axis1", 1) +output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (row, output_col)) # output +model = model.Operation("CONCATENATION", input1, input2, axis1).To(output) +model = model.RelaxedExecution(True) + +# Example 1. +input1_values = [x for x in range(row * col1)] +input2_values = [-x for x in range(row * col2)] +input0 = {input1: input1_values, + input2: input2_values} + +output_values = [x for x in range(row * output_col)] +for r in range(row): + for c1 in range(col1): + output_values[r * output_col + c1] = input1_values[r * col1 + c1] + for c2 in range(col2): + output_values[r * output_col + col1 + c2] = input2_values[r * col2 + c2] + +output0 = {output: output_values} + +# Instantiate an example +Example((input0, output0)) |