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Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/conv_float_2.mod.py')
| -rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_0/conv_float_2.mod.py | 36 |
1 files changed, 36 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/conv_float_2.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/conv_float_2.mod.py new file mode 100644 index 000000000..86755a764 --- /dev/null +++ b/runtimes/tests/neural_networks_test/specs/V1_0/conv_float_2.mod.py @@ -0,0 +1,36 @@ +# +# 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() +i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 4, 1}") +f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 3, 3, 1}", [1, 4, 7, 2, 5, 8, 3, 6, 9]) +b1 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [-200]) +pad_same = Int32Scalar("pad_same", 1) +act_relu = Int32Scalar("act_relu", 1) +stride = Int32Scalar("stride", 1) +output = Output("op4", "TENSOR_FLOAT32", "{1, 3, 4, 1}") + +model = model.Operation("CONV_2D", i1, f1, b1, pad_same, stride, stride, act_relu).To(output) + +# Example 1. Input in operand 0, +input0 = {i1: # input 0 + [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]} + +output0 = {output: # output 0 + [0, 0, 0, 0, 35, 112, 157, 0, 0, 34, 61, 0]} + +# Instantiate an example +Example((input0, output0)) |