conv_quant8_large.mod.py revision 297c580a2d2da2839d936437bf4e3a4c64034950 
1#
2# Copyright (C) 2017 The Android Open Source Project
3#
4# Licensed under the Apache License, Version 2.0 (the "License");
5# you may not use this file except in compliance with the License.
6# You may obtain a copy of the License at
7#
8#      http://www.apache.org/licenses/LICENSE-2.0
9#
10# Unless required by applicable law or agreed to in writing, software
11# distributed under the License is distributed on an "AS IS" BASIS,
12# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13# See the License for the specific language governing permissions and
14# limitations under the License.
15#
16
17model = Model()
18i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 2, 3, 3}, 0.5, 0")
19f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5, 0", [1, 4, 7, 2, 5, 8, 3, 6, 9])
20b1 = Parameter("op3", "TENSOR_INT32", "{3}, 0.25, 0", [0, 0, 0])
21pad0 = Int32Scalar("pad0", 0)
22act = Int32Scalar("act", 0)
23stride = Int32Scalar("stride", 1)
24output = Output("op4",  "TENSOR_QUANT8_ASYMM", "{1, 2, 3, 3}, 1.0, 0")
25
26model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
27
28# Example 1. Input in operand 0,
29input0 = {i1: # input 0
30          [  1,   2,   3,   4,   5,   6,   7,   8,   9,
31            10,  11,  12,  13,  14,  15,  16,  17,  18]}
32
33output0 = {output: # output 0
34           [  8,   9,   11,
35              17,  21,  24,
36              26,  32,  38,
37              35,  43,  51,
38              44,  54,  65,
39              53,  66,  78]
40          }
41
42# Instantiate an example
43Example((input0, output0))
44