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author | Chunseok Lee <chunseok.lee@samsung.com> | 2019-01-08 17:36:34 +0900 |
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committer | Chunseok Lee <chunseok.lee@samsung.com> | 2019-01-08 17:36:34 +0900 |
commit | bd11b24234d7d43dfe05a81c520aa01ffad06e42 (patch) | |
tree | 57d0d4044977e4fa0e50cd9ba40b32006dff19eb /tests/nnapi/specs/V1_0/conv_quant8_large.mod.py | |
parent | 91f4ba45449f700a047a4aeea00b1a7c84e94c75 (diff) | |
download | nnfw-bd11b24234d7d43dfe05a81c520aa01ffad06e42.tar.gz nnfw-bd11b24234d7d43dfe05a81c520aa01ffad06e42.tar.bz2 nnfw-bd11b24234d7d43dfe05a81c520aa01ffad06e42.zip |
Imported Upstream version 0.3upstream/0.3
Diffstat (limited to 'tests/nnapi/specs/V1_0/conv_quant8_large.mod.py')
-rw-r--r-- | tests/nnapi/specs/V1_0/conv_quant8_large.mod.py | 43 |
1 files changed, 43 insertions, 0 deletions
diff --git a/tests/nnapi/specs/V1_0/conv_quant8_large.mod.py b/tests/nnapi/specs/V1_0/conv_quant8_large.mod.py new file mode 100644 index 000000000..5272d7204 --- /dev/null +++ b/tests/nnapi/specs/V1_0/conv_quant8_large.mod.py @@ -0,0 +1,43 @@ +# +# 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_QUANT8_ASYMM", "{1, 2, 3, 3}, 0.5, 0") +f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5, 0", [1, 4, 7, 2, 5, 8, 3, 6, 9]) +b1 = Parameter("op3", "TENSOR_INT32", "{3}, 0.25, 0", [0, 0, 0]) +pad0 = Int32Scalar("pad0", 0) +act = Int32Scalar("act", 0) +stride = Int32Scalar("stride", 1) +output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 3, 3}, 1.0, 0") + +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 + [ 8, 9, 11, + 17, 21, 24, + 26, 32, 38, + 35, 43, 51, + 44, 54, 65, + 53, 66, 78] + } + +# Instantiate an example +Example((input0, output0)) |