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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, 34 insertions, 0 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 new file mode 100644 index 000000000..06a33b865 --- /dev/null +++ b/runtimes/tests/neural_networks_test/specs/V1_0/resize_bilinear_2.mod.py @@ -0,0 +1,34 @@ +# +# 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)) |