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Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/concat_float_1.mod.py')
-rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_0/concat_float_1.mod.py | 31 |
1 files changed, 0 insertions, 31 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/concat_float_1.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/concat_float_1.mod.py deleted file mode 100644 index 4f3350c5d..000000000 --- a/runtimes/tests/neural_networks_test/specs/V1_0/concat_float_1.mod.py +++ /dev/null @@ -1,31 +0,0 @@ -# -# Copyright (C) 2017 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_FLOAT32", "{2, 3}") # input tensor 0 -i2 = Input("op2", "TENSOR_FLOAT32", "{2, 3}") # input tensor 1 -axis0 = Int32Scalar("axis0", 0) -r = Output("result", "TENSOR_FLOAT32", "{4, 3}") # output -model = model.Operation("CONCATENATION", i1, i2, axis0).To(r) - -# Example 1. -input0 = {i1: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], - i2: [7.0, 8.0, 9.0, 10.0, 11.0, 12.0]} -output0 = {r: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0]} - -# Instantiate an example -Example((input0, output0)) |