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Diffstat (limited to 'tests/nnapi/specs/V1_0/conv_float_large.mod.py')
-rw-r--r-- | tests/nnapi/specs/V1_0/conv_float_large.mod.py | 45 |
1 files changed, 45 insertions, 0 deletions
diff --git a/tests/nnapi/specs/V1_0/conv_float_large.mod.py b/tests/nnapi/specs/V1_0/conv_float_large.mod.py new file mode 100644 index 000000000..febe12543 --- /dev/null +++ b/tests/nnapi/specs/V1_0/conv_float_large.mod.py @@ -0,0 +1,45 @@ +# +# 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() +i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 3, 3}") +f1 = Parameter("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}", [1., 4., 7., 2., 5., 8., 3., 6., 9.]) +b1 = Parameter("op3", "TENSOR_FLOAT32", "{3}", [0., 0., 0.]) +pad0 = Int32Scalar("pad0", 0) +act = Int32Scalar("act", 0) +stride = Int32Scalar("stride", 1) +# output dimension: +# (i1.height - f1.height + 1) x (i1.width - f1.width + 1) +output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 3, 3}") + +model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) + +# Example 1. Input in operand 0, +input0 = {i1: # input 0 + [ 1., 2., 3., 4., 5., 6., 7., 8., 9., + 10., 11., 12., 13., 14., 15., 16., 17., 18.]} + +output0 = {output: # output 0 + [ 30., 36., 42., + 66., 81., 96., + 102., 126., 150., + 138., 171., 204., + 174., 216., 258., + 210., 261., 312.] + } + +# Instantiate an example +Example((input0, output0)) |