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Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/resize_bilinear_2.mod.py')
| -rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_0/resize_bilinear_2.mod.py | 34 |
1 files changed, 0 insertions, 34 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/resize_bilinear_2.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/resize_bilinear_2.mod.py deleted file mode 100644 index 06a33b865..000000000 --- a/runtimes/tests/neural_networks_test/specs/V1_0/resize_bilinear_2.mod.py +++ /dev/null @@ -1,34 +0,0 @@ -# -# 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() -i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 2}") -i2 = Output("op2", "TENSOR_FLOAT32", "{1, 3, 3, 2}") -h = Int32Scalar("height", 3) # an int32_t scalar bias -w = Int32Scalar("width", 3) -model = model.Operation("RESIZE_BILINEAR", i1, h, w).To(i2) - -# Example 1. Input in operand 0, -input0 = {i1: # input 0 - [3, 4, 6, 10, 9, 10, 12, 16]} -output0 = {i2: # output 0 - [3, 4, 5, 8, 6, 10, - 7, 8, 9, 12, 10, 14, - 9, 10, 11, 14, 12, 16,]} - -# Instantiate an example -Example((input0, output0)) |