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Diffstat (limited to 'tests/nnapi/specs/V1_0/depthwise_conv2d_float_2.mod.py')
-rw-r--r-- | tests/nnapi/specs/V1_0/depthwise_conv2d_float_2.mod.py | 44 |
1 files changed, 44 insertions, 0 deletions
diff --git a/tests/nnapi/specs/V1_0/depthwise_conv2d_float_2.mod.py b/tests/nnapi/specs/V1_0/depthwise_conv2d_float_2.mod.py new file mode 100644 index 000000000..59e392d58 --- /dev/null +++ b/tests/nnapi/specs/V1_0/depthwise_conv2d_float_2.mod.py @@ -0,0 +1,44 @@ +# +# 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, 2, 2}") +f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [1, 2, 3, 4, -9, 10, -11, 12, 5, 6, 7, 8, 13, -14, 15, -16]) +b1 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [1, 2, 3, 4]) +pad_valid = Int32Scalar("pad_valid", 2) +act_none = Int32Scalar("act_none", 0) +stride = Int32Scalar("stride", 1) +cm = Int32Scalar("channelMultiplier", 2) +output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 1, 4}") + +model = model.Operation("DEPTHWISE_CONV_2D", + i1, f1, b1, + pad_valid, + stride, stride, + cm, act_none).To(output) + +# Example 1. Input in operand 0, +input0 = {i1: # input 0 + [1, 2, 7, 8, + 3, 4, 9, 10, + 5, 6, 11, 12]} +# (i1 (depthconv) f1) +output0 = {output: # output 0 + [71, -34, 99, -20, + 91, -26, 127, -4]} + +# Instantiate an example +Example((input0, output0)) |